With the large-scale deployment of satellite constellations and the rapid advancement of technologies including artificial intelligence(AI)and non-terrestrial networks(NTNs),the integration of high,medium,and low Eart...With the large-scale deployment of satellite constellations and the rapid advancement of technologies including artificial intelligence(AI)and non-terrestrial networks(NTNs),the integration of high,medium,and low Earth orbit satellite networks with terrestrial networks has become a critical direction for future communication technologies.The objective is to develop a space-terrestrial integrated 6G network that ensures ubiquitous connectivity and seamless services,facilitating intelligent interconnection and collaborative symbiosis among humans,machines,and objects.This integration has become a central focus of global technological innovation.展开更多
Task offloading is critical for optimizing resource allocation in edge computing systems.In practical scenarios,user applications often comprise multiple interdependent tasks,where both task dependencies and paralleli...Task offloading is critical for optimizing resource allocation in edge computing systems.In practical scenarios,user applications often comprise multiple interdependent tasks,where both task dependencies and parallelism strongly affect offloading decisions.This paper presents a novel dependent task offloading framework for multiedge server environments.The task offloading problem is formulated as a Markov Decision Process(MDP)to minimize computational delay.Task dependencies are modeled using a Directed Acyclic Graph(DAG),and a Graph Convolutional Network(GCN)encoder is employed to extract DAG features as inputs for a Deep Reinforcement Learning(DRL)model.The proposed DRL-based method applies the Proximal Policy Optimization(PPO)algorithm to simultaneously select subtasks and determine their offloading decisions.Experimental evaluations across varying numbers of subtasks confirm the effectiveness of the approach,demonstrating superior performance compared to state-of-the-art solutions.展开更多
The number of satellites,especially those operating in Low-Earth Orbit(LEO),has been exploding in recent years.Additionally,the burgeoning development of Artificial Intelligence(AI)software and hardware has opened up ...The number of satellites,especially those operating in Low-Earth Orbit(LEO),has been exploding in recent years.Additionally,the burgeoning development of Artificial Intelligence(AI)software and hardware has opened up new industrial opportunities in both air and space,with satellite-powered computing emerging as a new computing paradigm:Orbital Edge Computing(OEC).Compared to terrestrial edge computing,the mobility of LEO satellites and their limited communication,computation,and storage resources pose challenges in designing task-specific scheduling algorithms.Previous survey papers have largely focused on terrestrial edge computing or the integration of space and ground technologies,lacking a comprehensive summary of OEC architecture,algorithms,and case studies.This paper conducts a comprehensive survey and analysis of OEC's system architecture,applications,algorithms,and simulation tools,providing a solid background for researchers in the field.By discussing OEC use cases and the challenges faced,potential research directions for future OEC research are proposed.展开更多
The integration of emerging technologies such as artificial intelligence and cloud computing is accelerating the development of intelligent and autonomous satellite systems.However,limitations in onboard sensing,compu...The integration of emerging technologies such as artificial intelligence and cloud computing is accelerating the development of intelligent and autonomous satellite systems.However,limitations in onboard sensing,computing,storage,and energy resources continue to constrain the intelligent functionalities of individual satellites.Currently,most studies focus on either satellite intelligence or satellite networking,while systematic studies on their integration remain scarce.To address this gap,this paper introduces the concept of an intelligent satellite cluster system,which leverages satellite networks to enable collaborative intelligence among satellites,thereby enhancing the overall system intelligence.After summarizing the typical use cases of the intelligent satellite cluster system,we analyze the corresponding demands on network capabilities.Based on these demands,we propose the concept of the Internet of satellites(IoS)tailored to support the intelligent satellite cluster system.Specifically,we design both the logical and physical architectures of IoS and elaborate on its key enabling technologies.Finally,we present the research progress and outcomes achieved by our team on these core technologies,and discuss the challenges that remain.This paper aims to build consensus around intelligent and connected satellite technologies,promote innovation and standardization,and enhance the intelligent service capabilities of future large-scale satellite systems.展开更多
The rise of time-sensitive applications with broad geographical scope drives the development of time-sensitive networking(TSN)from intra-domain to inter-domain to ensure overall end-to-end connectivity requirements in...The rise of time-sensitive applications with broad geographical scope drives the development of time-sensitive networking(TSN)from intra-domain to inter-domain to ensure overall end-to-end connectivity requirements in heterogeneous deployments.When multiple TSN networks interconnect over non-TSN networks,all devices in the network need to be syn-chronized by sharing a uniform time reference.How-ever,most non-TSN networks are best-effort.Path delay asymmetry and random noise accumulation can introduce unpredictable time errors during end-to-end time synchronization.These factors can degrade syn-chronization performance.Therefore,cross-domain time synchronization becomes a challenging issue for multiple TSN networks interconnected by non-TSN networks.This paper presents a cross-domain time synchronization scheme that follows the software-defined TSN(SD-TSN)paradigm.It utilizes a com-bined control plane constructed by a coordinate con-troller and a domain controller for centralized control and management of cross-domain time synchroniza-tion.The general operation flow of the cross-domain time synchronization process is designed.The mecha-nism of cross-domain time synchronization is revealed by introducing a synchronization model and an error compensation method.A TSN cross-domain proto-type testbed is constructed for verification.Results show that the scheme can achieve end-to-end high-precision time synchronization with accuracy and sta-bility.展开更多
Channels are one of the five critical components of a communication system,and their ergodic capacity is based on all realizations of a statistical channel model.This statistical paradigm has successfully guided the d...Channels are one of the five critical components of a communication system,and their ergodic capacity is based on all realizations of a statistical channel model.This statistical paradigm has successfully guided the design of mobile communication systems from first generation(1G)to fifth generation(5G).However,this approach relies on offline channel measurements in specific environments,and thus,the system passively adapts to new environments,resulting in deviation from the optimal performance.As sixth generation(6G)expands into ubiquitous environments and pursues higher capacity,numerous sensing and artificial intelligence(AI)-based methods have emerged to combat random channel fading.However,there remains an urgent need for a proactive and online system design paradigm.From a system perspective,we propose an environment intelligence communication(EIC)based on wireless environmental information theory(WEIT)for 6G.The proposed EIC architecture operates in three steps.First,wireless environmental information(WEI)is acquired using sensing techniques.Then,leveraging WEI and channel data,AI techniques are employed to predict channel fading,thereby mitigating channel uncertainty.Finally,the communication system autonomously determines the optimal air-interface transmission strategy based on real-time channel predictions,enabling intelligent interaction with the physical environment.To make this attractive paradigm shift from theory to practice,we establish WEIT for the first time by answering three key problems:How should WEI be defined?Can it be quantified?Does it hold the same properties as statistical communication information?Subsequently,EIC aided by WEI(EIC-WEI)is validated across multiple air-interface tasks,including channel state information prediction,beam prediction,and radio resource management.Simulation results demonstrate that the proposed EIC-WEI significantly outperforms the statistical paradigm in decreasing overhead and performance optimization.Finally,several open problems and challenges,including regarding its accuracy,complexity,and generalization,are discussed.This work explores a novel and promising way for integrating communication,sensing,and AI capability in 6G.展开更多
In 6G,artificial intelligence represented by deep nerual network(DNN)will unleash its potential and empower IoT applications to transform into intelligent IoT applications.However,whole DNNbased inference is difficult...In 6G,artificial intelligence represented by deep nerual network(DNN)will unleash its potential and empower IoT applications to transform into intelligent IoT applications.However,whole DNNbased inference is difficult to carry out on resourceconstrained intelligent IoT devices and will suffer privacy leakage when offloading to the cloud or mobile edge computation server(MECs).In this paper,we formulate a privacy and delay dual-driven device-edge collaborative inference(P4DE-CI)system to preserve the privacy of raw data while accelerating the intelligent inference process,where the intelligent IoT devices run the front-end part of DNN model and the MECs execute the back-end part of DNN model.Considering three typical privacy leakage models and the end-to-end delay of collaborative DNN-based inference,we define a novel intelligent inference Quality of service(I2-QoS)metric as the weighted summation of the inference latency and privacy preservation level.Moreover,we propose a DDPG-based joint DNN model optimization and resource allocation algorithm to maximize I2-QoS,by optimizing the association relationship between intelligent IoT devices and MECs,the DNN model placement decision,and the DNN model partition decision.Experiments carried out on the AlexNet model reveal that the proposed algorithm has better performance in both privacy-preserving and inference-acceleration.展开更多
The security of the quantum secure direct communication(QSDC)and authentication protocol based on Bell states is analyzed.It is shown that an eavesdropper can invalidate the authentication function,and implement a suc...The security of the quantum secure direct communication(QSDC)and authentication protocol based on Bell states is analyzed.It is shown that an eavesdropper can invalidate the authentication function,and implement a successful man-in-the-middle attack,where he/she can obtain or even modify the transmitted secret without introducing any error.The particular attack strategy is demonstrated and an improved protocol is presented.展开更多
In a recent paper[J. Korean. Phys. Soc. 49 (2006) 459], two GHZ-state-based quantum secure direct communication protocols were presented. Here we point out that an eavesdropper can utilize a special property of GHZ ...In a recent paper[J. Korean. Phys. Soc. 49 (2006) 459], two GHZ-state-based quantum secure direct communication protocols were presented. Here we point out that an eavesdropper can utilize a special property of GHZ states, i.e. "correlation-elicitable" to obtain half information of the transmitted secrets without being detected in both protocols. The particular attack strategy is demonstrated in detail. Furthermore, a possible improvement is proposed, which makes the protocols secure against this kind of attack.展开更多
Unmanned Aerial Vehicle(UAV)equipped with Mobile Edge Computing(MEC)server has become a promising solution for on-demand service provisioning in Airborne Maneuvering Networks(AMNs).However,it remains constrained by se...Unmanned Aerial Vehicle(UAV)equipped with Mobile Edge Computing(MEC)server has become a promising solution for on-demand service provisioning in Airborne Maneuvering Networks(AMNs).However,it remains constrained by severe multi-user interference and limited spectral resources.This work investigates a non-orthogonal multiple access-enabled MEC framework in AMNs to address spectrum limitations and support concurrent access for multiple Ground Terminals(GTs),where GTs are multiplexed in the power domain and decoded via successive interference cancellation at the UAV.An energy minimization problem is formulated to jointly optimize UAV flight trajectory,task offloading decisions,and power allocation.To address the resulting non-convex energy minimization problem,a hybrid optimization framework that integrates Proximal Policy Optimization(PPO)with convex programming is proposed.Specifically,the deep reinforcement learning component jointly learns the UAV trajectory,binary task offloading strategy,and uplink power control under dynamic network conditions.In parallel,a convex optimization module efficiently computes the UAV's flight time allocation to minimize propulsion energy.Simulation results demonstrate that the proposed PPO-driven approach significantly reduces total energy consumption compared to conventional baselines,validating its effectiveness for energyefficient MEC in UAV-based AMNs.展开更多
The rapid advancement of 6G communication has drawn significant attention to non-terrestrial networks(NTN),where accurate modeling of clutter loss(CL)is essential for efficient deployment and system optimization.This ...The rapid advancement of 6G communication has drawn significant attention to non-terrestrial networks(NTN),where accurate modeling of clutter loss(CL)is essential for efficient deployment and system optimization.This paper conducts multi-band channel measurements at 6.5 GHz,10.2 GHz,11.8 GHz,and 14.2 GHz to investigate the frequency and elevation angle dependencies of CL.To address the limited physical interpretability of existing standard models,a semi-deterministic approach is proposed based on the single knife-edge diffraction theory.The modeling results and analysis show that the proposed model has lower prediction errors than the standard model in complex environments with building and vegetation obstructions,with a simple formula that effectively captures the variations in CL with frequency and elevation angle.This contributes valuable insights for the design and implementation of NTN communication systems.展开更多
The Intrusion Detection System(IDS)is a security mechanism developed to observe network traffic and recognize suspicious or malicious activities.Clustering algorithms are often incorporated into IDS;however,convention...The Intrusion Detection System(IDS)is a security mechanism developed to observe network traffic and recognize suspicious or malicious activities.Clustering algorithms are often incorporated into IDS;however,conventional clustering-based methods face notable drawbacks,including poor scalability in handling high-dimensional datasets and a strong dependence of outcomes on initial conditions.To overcome the performance limitations of existing methods,this study proposes a novel quantum-inspired clustering algorithm that relies on a similarity coefficient-based quantum genetic algorithm(SC-QGA)and an improved quantum artificial bee colony algorithm hybrid K-means(IQABC-K).First,the SC-QGA algorithmis constructed based on quantum computing and integrates similarity coefficient theory to strengthen genetic diversity and feature extraction capabilities.For the subsequent clustering phase,the process based on the IQABC-K algorithm is enhanced with the core improvement of adaptive rotation gate and movement exploitation strategies to balance the exploration capabilities of global search and the exploitation capabilities of local search.Simultaneously,the acceleration of convergence toward the global optimum and a reduction in computational complexity are facilitated by means of the global optimum bootstrap strategy and a linear population reduction strategy.Through experimental evaluation with multiple algorithms and diverse performance metrics,the proposed algorithm confirms reliable accuracy on three datasets:KDD CUP99,NSL_KDD,and UNSW_NB15,achieving accuracy of 98.57%,98.81%,and 98.32%,respectively.These results affirm its potential as an effective solution for practical clustering applications.展开更多
Quantum steganography that utilizes the quantum mechanical effect to achieve the purpose of information hiding is a popular topic of quantum information. Recently, E1 Allati et al. proposed a new quantum steganography...Quantum steganography that utilizes the quantum mechanical effect to achieve the purpose of information hiding is a popular topic of quantum information. Recently, E1 Allati et al. proposed a new quantum steganography using the GHZ4 state. Since all of the 8 groups of unitary transformations used in the secret message encoding rule change the GHZ4 state into 6 instead of 8 different quantum states when the global phase is not considered, we point out that a 2-bit instead of a 3-bit secret message can be encoded by one group of the given unitary transformations. To encode a 3-bit secret message by performing a group of unitary transformations on the GHZ4 state, we give another 8 groups of unitary transformations that can change the GHZ4 state into 8 different quantum states. Due to the symmetry of the GHZ4 state, all the possible 16 groups of unitary transformations change the GHZ4 state into 8 different quantum states, so the improved protocol achieves a high efficiency.展开更多
The Internet of Things(IoT)is a network system that connects physical devices through the Internet,allowing them to interact.Nowadays,IoT has become an integral part of our lives,offering convenience and smart functio...The Internet of Things(IoT)is a network system that connects physical devices through the Internet,allowing them to interact.Nowadays,IoT has become an integral part of our lives,offering convenience and smart functionality.However,the growing number of IoT devices has brought about a corresponding increase in cybersecurity threats,such as device vulnerabilities,data privacy concerns,and network susceptibilities.Integrating blockchain technology with IoT has proven to be a promising approach to enhance IoT security.Nevertheless,the emergence of quantum computing poses a significant challenge to the security of traditional classical cryptography used in blockchain,potentially exposing it to quantum cyber-attacks.To support the growth of the IoT industry,mitigate quantum threats,and safeguard IoT data,this study proposes a robust blockchain solution for IoT that incorporates both classical and post-quantum security measures.Firstly,we present the Quantum-Enhanced Blockchain Architecture for IoT(QBIoT)to ensure secure data sharing and integrity protection.Secondly,we propose an improved Proof of Authority consensus algorithm called“Proof of Authority with Random Election”(PoARE),implemented within QBIoT for leader selection and new block creation.Thirdly,we develop a publickey quantum signature protocol for transaction verification in the blockchain.Finally,a comprehensive security analysis of QBIoT demonstrates its resilience against cyber threats from both classical and quantum adversaries.In summary,this research introduces an innovative quantum-enhanced blockchain solution to address quantum security concernswithin the realmof IoT.The proposedQBIoT framework contributes to the ongoing development of quantum blockchain technology and offers valuable insights for future research on IoT security.展开更多
The distance-decay effect of molecular signals makes communication range a major challenge for diffusion-based Molecular Communication(MC).To solve this problem,the intermediate nano-machine is deployed as a relay bet...The distance-decay effect of molecular signals makes communication range a major challenge for diffusion-based Molecular Communication(MC).To solve this problem,the intermediate nano-machine is deployed as a relay between the transmitter and its intended receiver nano-machines.In this work,we employ the Depleted Molecule Shift Keying(D-MoSK)to model a Decode-and-Forward(DF)relay communication scheme.The closed-form expression of Bit Error Rate(BER)for the concerned DF relay with D-MoSK is derived.Meanwhile,the maximum a posteriori probability,minimum error probability,and maximum likelihood schemes are formulated for data detection.The relationships between BER and other key parameters,including the number of released molecules,receiving radius,and relay position,are investigated in detail.Simulation results show that the proposed scheme can improve communication reliability significantly.Moreover,the performance gain can be maximized by optimizing the position of the relay and the receiving radius.展开更多
In this paper,we investigate an Unmanned Aerial Vehicle(UAV)-enabled integrated sensing and communications scenario,where the UAV simultaneously serves terrestrial communication users and detects terrestrial sensing t...In this paper,we investigate an Unmanned Aerial Vehicle(UAV)-enabled integrated sensing and communications scenario,where the UAV simultaneously serves terrestrial communication users and detects terrestrial sensing targets.Traditional subcarrier allocation schemes,such as fully-overlapped or non-overlapped designs,suffer from mutual interference or inefficient spectrum utilization.To address this issue,we propose a Partially-Overlapped(PO)subcarrier allocation scheme that dedicates a fraction of subcarriers for sensing,while supporting communication across the full bandwidth.Based on the PO-based subcarrier allocation scheme,an integrated optimization problem is formulated to jointly design the beamforming,subcarrier allocation,and UAV trajectory,with the objective of maximizing the weighted throughput under sensing constraints.By applying Lyapunov optimization,the original problem is reformulated into a time-slotted driftplus-penalty problem.To solve the non-convexity,it is decoupled into three subproblems:beamforming design,subcarrier allocation,and UAV trajectory design,which are iteratively solved by utilizing an alternating optimization framework.Through numerical results,we demonstrate that the proposed algorithm outperforms baseline schemes(i.e.,the fully-overlapped scheme and the non-overlapped scheme).Furthermore,it achieves a favorable balance between the communication throughput and sensing performance by judiciously adjusting Lyapunov control parameter.展开更多
Endogenous security in next-generation wireless communication systems attracts increasing attentions in recent years.A typical solution to endogenous security problems is the Quantum Key Distribution(QKD),where uncond...Endogenous security in next-generation wireless communication systems attracts increasing attentions in recent years.A typical solution to endogenous security problems is the Quantum Key Distribution(QKD),where unconditional security can be achieved thanks to the inherent properties of quantum mechanics.Continuous Variable-Quantum Key Distribution(CV-QKD)enjoys high Secret Key Rate(SKR)and good compatibility with existing optical communication infrastructure.Traditional CV-QKD usually employ coherent receivers to detect coherent states,whose detection performance is restricted to the standard quantum limit.In this paper,we employ a generalized Kennedy receiver called CD-Kennedy receiver to enhance the detection performance of coherent states in turbulent channels,where Equal-Gain Combining(EGC)method is used to combine the output of CD-Kennedy receivers.Besides,we derive the SKR of a post-selection based CV-QKD protocol using both CD-Kennedy receiver and homodyne receiver with EGC in turbulent channels.We further propose an equivalent transmittance method to facilitate the calculation of both the Bit-Error Rate(BER)and SKR.Numerical results show that the CD-Kennedy receiver can outperform the homodyne receiver in turbulent channels in terms of both BER and SKR performance.We find that BER and SKR performance advantage of CD-Kennedy receiver over homodyne receiver demonstrate opposite trends as the average transmittance increases,which indicates that two separate system settings should be employed for communication and key distribution purposes.Besides,we also demonstrate that the SKR performance of a CD-Kennedy receiver is much robust than that of a homodyne receiver in turbulent channels.展开更多
Practical byzantine fault tolerance(PBFT)can reduce energy consumption and achieve high throughput compared with the traditional PoW algorithm,which is more suitable for a strongly consistent consortium blockchain.How...Practical byzantine fault tolerance(PBFT)can reduce energy consumption and achieve high throughput compared with the traditional PoW algorithm,which is more suitable for a strongly consistent consortium blockchain.However,due to the frequent communication among nodes,PBFT cannot realize scalability in large-scale networks.Existing PBFTbased algorithms still ignore performance and security.Therefore,we propose a secure and efficient practical byzantine fault tolerance based on double layers and multi copies(DM-PBFT).We design a reputation evaluation and node scheduling method for DMPBFT.And then we propose an adaptive node scheduling strategy based on the derived threshold values after analyzing the system communication complexity and security.Combining the above research,a node dynamic adjustment mechanism is proposed to freeze or adjust the node operation status according to the system environment.Simulation experiments show that the proposed mechanism can improve efficiency and increase the system’s throughput.展开更多
Satellite-to-ground communications are anticipated to play a crucial role in sixth-generation(6G)mobile systems by providing seamless coverage.Due to the long transmission distances,complex channel characteristics,and...Satellite-to-ground communications are anticipated to play a crucial role in sixth-generation(6G)mobile systems by providing seamless coverage.Due to the long transmission distances,complex channel characteristics,and diverse terminal environments,satelliteto-ground channels exhibit unique features that distinguish them from terrestrial communication channels.Understanding and accurately modeling the channel is a premise for the design,optimization,and evaluation of satellite-to-ground communication systems.This paper provides a comprehensive review of the challenges and ongoing research in satellite-to-ground channel measurement,characterization,modeling,and standardization.Specifically,the paper discusses simulated and on-orbit satellite channel measurements,introduces large-scale and small-scale characteristics,and analyzes the challenges and progress in four satellite-toground channel models.In addition,the paper reviews the relevant standards efforts of key organizations and outlines potential future research directions.展开更多
Ensuring an information fabric safe is critical and mandatory.For its related Internet of Things(IoT)service system running on the open Internet,existing host-based monitoring methods may fail due to only inspecting s...Ensuring an information fabric safe is critical and mandatory.For its related Internet of Things(IoT)service system running on the open Internet,existing host-based monitoring methods may fail due to only inspecting software,and the physical system may not be able to be protected.In this paper,a nonintrusive virtual machine(VM)-based runtime protection framework is provided to protect the physical system with the isolated IoT services as a controlling means.Compared with existing solutions,the framework gets inconsistent and untrusted observation knowledge from multiple observation sources,and enforces property policies concurrently and incrementally in a competing-game way to avoid compositional problems.In addition,the monitoring is implemented without any modification to the protected system.Experiments are conducted to validate the proposed techniques.展开更多
摘要With the large-scale deployment of satellite constellations and the rapid advancement of technologies including artificial intelligence(AI)and non-terrestrial networks(NTNs),the integration of high,medium,and low Earth orbit satellite networks with terrestrial networks has become a critical direction for future communication technologies.The objective is to develop a space-terrestrial integrated 6G network that ensures ubiquitous connectivity and seamless services,facilitating intelligent interconnection and collaborative symbiosis among humans,machines,and objects.This integration has become a central focus of global technological innovation.
基金supported by the National Natural Science Foundation of China(62322103)Beijing Natural Science Foundation(4232009)the Fund of Central University Basic Research Projects(2023ZCTH11).
摘要Task offloading is critical for optimizing resource allocation in edge computing systems.In practical scenarios,user applications often comprise multiple interdependent tasks,where both task dependencies and parallelism strongly affect offloading decisions.This paper presents a novel dependent task offloading framework for multiedge server environments.The task offloading problem is formulated as a Markov Decision Process(MDP)to minimize computational delay.Task dependencies are modeled using a Directed Acyclic Graph(DAG),and a Graph Convolutional Network(GCN)encoder is employed to extract DAG features as inputs for a Deep Reinforcement Learning(DRL)model.The proposed DRL-based method applies the Proximal Policy Optimization(PPO)algorithm to simultaneously select subtasks and determine their offloading decisions.Experimental evaluations across varying numbers of subtasks confirm the effectiveness of the approach,demonstrating superior performance compared to state-of-the-art solutions.
基金funded by the Hong Kong-Macao-Taiwan Science and Technology Cooperation Project of the Science and Technology Innovation Action Plan in Shanghai,China(23510760200)the Oriental Talent Youth Program of Shanghai,China(No.Y3DFRCZL01)+1 种基金the Outstanding Program of the Youth Innovation Promotion Association of the Chinese Academy of Sciences(No.Y2023080)the Strategic Priority Research Program of the Chinese Academy of Sciences Category A(No.XDA0360404).
摘要The number of satellites,especially those operating in Low-Earth Orbit(LEO),has been exploding in recent years.Additionally,the burgeoning development of Artificial Intelligence(AI)software and hardware has opened up new industrial opportunities in both air and space,with satellite-powered computing emerging as a new computing paradigm:Orbital Edge Computing(OEC).Compared to terrestrial edge computing,the mobility of LEO satellites and their limited communication,computation,and storage resources pose challenges in designing task-specific scheduling algorithms.Previous survey papers have largely focused on terrestrial edge computing or the integration of space and ground technologies,lacking a comprehensive summary of OEC architecture,algorithms,and case studies.This paper conducts a comprehensive survey and analysis of OEC's system architecture,applications,algorithms,and simulation tools,providing a solid background for researchers in the field.By discussing OEC use cases and the challenges faced,potential research directions for future OEC research are proposed.
基金supported in part by National Natural Science Foundation of China(62401612)in part by Beijing Nova Program of China(20230484258).
摘要The integration of emerging technologies such as artificial intelligence and cloud computing is accelerating the development of intelligent and autonomous satellite systems.However,limitations in onboard sensing,computing,storage,and energy resources continue to constrain the intelligent functionalities of individual satellites.Currently,most studies focus on either satellite intelligence or satellite networking,while systematic studies on their integration remain scarce.To address this gap,this paper introduces the concept of an intelligent satellite cluster system,which leverages satellite networks to enable collaborative intelligence among satellites,thereby enhancing the overall system intelligence.After summarizing the typical use cases of the intelligent satellite cluster system,we analyze the corresponding demands on network capabilities.Based on these demands,we propose the concept of the Internet of satellites(IoS)tailored to support the intelligent satellite cluster system.Specifically,we design both the logical and physical architectures of IoS and elaborate on its key enabling technologies.Finally,we present the research progress and outcomes achieved by our team on these core technologies,and discuss the challenges that remain.This paper aims to build consensus around intelligent and connected satellite technologies,promote innovation and standardization,and enhance the intelligent service capabilities of future large-scale satellite systems.
基金supported in part by National Key R&D Program of China(Grant No.2022YFC3803700)in part by the National Natural Science Foundation of China(Grant No.92067102)in part by the project of Beijing Laboratory of Advanced Information Networks.
摘要The rise of time-sensitive applications with broad geographical scope drives the development of time-sensitive networking(TSN)from intra-domain to inter-domain to ensure overall end-to-end connectivity requirements in heterogeneous deployments.When multiple TSN networks interconnect over non-TSN networks,all devices in the network need to be syn-chronized by sharing a uniform time reference.How-ever,most non-TSN networks are best-effort.Path delay asymmetry and random noise accumulation can introduce unpredictable time errors during end-to-end time synchronization.These factors can degrade syn-chronization performance.Therefore,cross-domain time synchronization becomes a challenging issue for multiple TSN networks interconnected by non-TSN networks.This paper presents a cross-domain time synchronization scheme that follows the software-defined TSN(SD-TSN)paradigm.It utilizes a com-bined control plane constructed by a coordinate con-troller and a domain controller for centralized control and management of cross-domain time synchroniza-tion.The general operation flow of the cross-domain time synchronization process is designed.The mecha-nism of cross-domain time synchronization is revealed by introducing a synchronization model and an error compensation method.A TSN cross-domain proto-type testbed is constructed for verification.Results show that the scheme can achieve end-to-end high-precision time synchronization with accuracy and sta-bility.
基金supported by the National Natural Science Foundation of China(62525101 and 62401084)the National Key Research and Development Program of China(2023YFB2904805)the Beijing University of Posts and Telecommunications-China Mobile Communications Group Joint Innovation Center。
摘要Channels are one of the five critical components of a communication system,and their ergodic capacity is based on all realizations of a statistical channel model.This statistical paradigm has successfully guided the design of mobile communication systems from first generation(1G)to fifth generation(5G).However,this approach relies on offline channel measurements in specific environments,and thus,the system passively adapts to new environments,resulting in deviation from the optimal performance.As sixth generation(6G)expands into ubiquitous environments and pursues higher capacity,numerous sensing and artificial intelligence(AI)-based methods have emerged to combat random channel fading.However,there remains an urgent need for a proactive and online system design paradigm.From a system perspective,we propose an environment intelligence communication(EIC)based on wireless environmental information theory(WEIT)for 6G.The proposed EIC architecture operates in three steps.First,wireless environmental information(WEI)is acquired using sensing techniques.Then,leveraging WEI and channel data,AI techniques are employed to predict channel fading,thereby mitigating channel uncertainty.Finally,the communication system autonomously determines the optimal air-interface transmission strategy based on real-time channel predictions,enabling intelligent interaction with the physical environment.To make this attractive paradigm shift from theory to practice,we establish WEIT for the first time by answering three key problems:How should WEI be defined?Can it be quantified?Does it hold the same properties as statistical communication information?Subsequently,EIC aided by WEI(EIC-WEI)is validated across multiple air-interface tasks,including channel state information prediction,beam prediction,and radio resource management.Simulation results demonstrate that the proposed EIC-WEI significantly outperforms the statistical paradigm in decreasing overhead and performance optimization.Finally,several open problems and challenges,including regarding its accuracy,complexity,and generalization,are discussed.This work explores a novel and promising way for integrating communication,sensing,and AI capability in 6G.
基金supported by the National Natural Science Foundation of China(No.62201079)the Beijing Natural Science Foundation(No.L232051).
摘要In 6G,artificial intelligence represented by deep nerual network(DNN)will unleash its potential and empower IoT applications to transform into intelligent IoT applications.However,whole DNNbased inference is difficult to carry out on resourceconstrained intelligent IoT devices and will suffer privacy leakage when offloading to the cloud or mobile edge computation server(MECs).In this paper,we formulate a privacy and delay dual-driven device-edge collaborative inference(P4DE-CI)system to preserve the privacy of raw data while accelerating the intelligent inference process,where the intelligent IoT devices run the front-end part of DNN model and the MECs execute the back-end part of DNN model.Considering three typical privacy leakage models and the end-to-end delay of collaborative DNN-based inference,we define a novel intelligent inference Quality of service(I2-QoS)metric as the weighted summation of the inference latency and privacy preservation level.Moreover,we propose a DDPG-based joint DNN model optimization and resource allocation algorithm to maximize I2-QoS,by optimizing the association relationship between intelligent IoT devices and MECs,the DNN model placement decision,and the DNN model partition decision.Experiments carried out on the AlexNet model reveal that the proposed algorithm has better performance in both privacy-preserving and inference-acceleration.
基金Supported by the National Natural Science Foundation of China under Grant Nos 60873191,60903152 and 60821001the Specialized Research Fund for the Doctoral Program of Higher Education(SRFDP)under Grant No under Grant Nos 200800131016 and 20090005110010+1 种基金Beijing Nova Program under Grant No 2008B51,Key Project of the Ministry of Education of China under Grant No 109014Beijing Natural Science Foundation under Grant No 4072020.
摘要The security of the quantum secure direct communication(QSDC)and authentication protocol based on Bell states is analyzed.It is shown that an eavesdropper can invalidate the authentication function,and implement a successful man-in-the-middle attack,where he/she can obtain or even modify the transmitted secret without introducing any error.The particular attack strategy is demonstrated and an improved protocol is presented.
基金Supported by the National Natural Science Foundation of China under Grant Nos 60873191, 60903152 and 60821001, the Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP) under Grant No 200800131016, Beijing Nova Program (No 2008B51), Key Project of the Ministry of Education of China (No 109014), Beijing Natural Science Foundation under Grant No 4072020, National Laboratory for Modern Communications Science Foundation of China under Grant No 9140C1101010601
摘要In a recent paper[J. Korean. Phys. Soc. 49 (2006) 459], two GHZ-state-based quantum secure direct communication protocols were presented. Here we point out that an eavesdropper can utilize a special property of GHZ states, i.e. "correlation-elicitable" to obtain half information of the transmitted secrets without being detected in both protocols. The particular attack strategy is demonstrated in detail. Furthermore, a possible improvement is proposed, which makes the protocols secure against this kind of attack.
基金supported by the National Natural Science Foundation of China(No.62571057)the Fundamental Research Funds for the Beijing University of Posts and Telecommunications(BUPT),China(No.2025TSQY03)the BUPT Excellent Ph.D.Students Foundation,China(No.CX20253001)。
摘要Unmanned Aerial Vehicle(UAV)equipped with Mobile Edge Computing(MEC)server has become a promising solution for on-demand service provisioning in Airborne Maneuvering Networks(AMNs).However,it remains constrained by severe multi-user interference and limited spectral resources.This work investigates a non-orthogonal multiple access-enabled MEC framework in AMNs to address spectrum limitations and support concurrent access for multiple Ground Terminals(GTs),where GTs are multiplexed in the power domain and decoded via successive interference cancellation at the UAV.An energy minimization problem is formulated to jointly optimize UAV flight trajectory,task offloading decisions,and power allocation.To address the resulting non-convex energy minimization problem,a hybrid optimization framework that integrates Proximal Policy Optimization(PPO)with convex programming is proposed.Specifically,the deep reinforcement learning component jointly learns the UAV trajectory,binary task offloading strategy,and uplink power control under dynamic network conditions.In parallel,a convex optimization module efficiently computes the UAV's flight time allocation to minimize propulsion energy.Simulation results demonstrate that the proposed PPO-driven approach significantly reduces total energy consumption compared to conventional baselines,validating its effectiveness for energyefficient MEC in UAV-based AMNs.
基金supported by the National Natural Science Foundation of China(No.62341128)National Natural Science Foundation of China under Grant 62525101,National Natural Science Foundation of China(No.62571059)+1 种基金Natural Science Foundation of Beijing-Xiaomi Innovation Joint Foundation(L243002)Beijing University of Posts and Telecommunications China Mobile Research Institute Joint Innovation Institute.
摘要The rapid advancement of 6G communication has drawn significant attention to non-terrestrial networks(NTN),where accurate modeling of clutter loss(CL)is essential for efficient deployment and system optimization.This paper conducts multi-band channel measurements at 6.5 GHz,10.2 GHz,11.8 GHz,and 14.2 GHz to investigate the frequency and elevation angle dependencies of CL.To address the limited physical interpretability of existing standard models,a semi-deterministic approach is proposed based on the single knife-edge diffraction theory.The modeling results and analysis show that the proposed model has lower prediction errors than the standard model in complex environments with building and vegetation obstructions,with a simple formula that effectively captures the variations in CL with frequency and elevation angle.This contributes valuable insights for the design and implementation of NTN communication systems.
基金supported by the NSFC(Grant Nos.62176273,62271070,62441212)The Open Foundation of State Key Laboratory of Networking and Switching Technology(Beijing University of Posts and Telecommunications)under Grant SKLNST-2024-1-062025Major Project of the Natural Science Foundation of Inner Mongolia(2025ZD008).
摘要The Intrusion Detection System(IDS)is a security mechanism developed to observe network traffic and recognize suspicious or malicious activities.Clustering algorithms are often incorporated into IDS;however,conventional clustering-based methods face notable drawbacks,including poor scalability in handling high-dimensional datasets and a strong dependence of outcomes on initial conditions.To overcome the performance limitations of existing methods,this study proposes a novel quantum-inspired clustering algorithm that relies on a similarity coefficient-based quantum genetic algorithm(SC-QGA)and an improved quantum artificial bee colony algorithm hybrid K-means(IQABC-K).First,the SC-QGA algorithmis constructed based on quantum computing and integrates similarity coefficient theory to strengthen genetic diversity and feature extraction capabilities.For the subsequent clustering phase,the process based on the IQABC-K algorithm is enhanced with the core improvement of adaptive rotation gate and movement exploitation strategies to balance the exploration capabilities of global search and the exploitation capabilities of local search.Simultaneously,the acceleration of convergence toward the global optimum and a reduction in computational complexity are facilitated by means of the global optimum bootstrap strategy and a linear population reduction strategy.Through experimental evaluation with multiple algorithms and diverse performance metrics,the proposed algorithm confirms reliable accuracy on three datasets:KDD CUP99,NSL_KDD,and UNSW_NB15,achieving accuracy of 98.57%,98.81%,and 98.32%,respectively.These results affirm its potential as an effective solution for practical clustering applications.
基金supported by the National Natural Science Foundation of China (Grant Nos. 61170272,61272514,61003287,and 61070163)the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20100005120002)+3 种基金the Fok Ying Tong Education Foundation (Grant No. 131067)the Natural Science Foundation of Shandong Province,China (Grant No. ZR2011FM023)the Outstanding Research Award Fund for Young Scientists of Shandong Province,China (Grant No. BS2011DX034)the Fundamental Research Funds for Central Universities of China (Grant No. BUPT2012RC0221)
摘要Quantum steganography that utilizes the quantum mechanical effect to achieve the purpose of information hiding is a popular topic of quantum information. Recently, E1 Allati et al. proposed a new quantum steganography using the GHZ4 state. Since all of the 8 groups of unitary transformations used in the secret message encoding rule change the GHZ4 state into 6 instead of 8 different quantum states when the global phase is not considered, we point out that a 2-bit instead of a 3-bit secret message can be encoded by one group of the given unitary transformations. To encode a 3-bit secret message by performing a group of unitary transformations on the GHZ4 state, we give another 8 groups of unitary transformations that can change the GHZ4 state into 8 different quantum states. Due to the symmetry of the GHZ4 state, all the possible 16 groups of unitary transformations change the GHZ4 state into 8 different quantum states, so the improved protocol achieves a high efficiency.
基金supported by National Key RD Program of China(Grant No.2022YFB3104402,the Research on Digital Identity Trust System for Massive Heterogeneous Terminals in Road Traffic System)the Fundamental Research Funds for the Central Universities(Grant Nos.3282023015,3282023035,3282023051)National First-Class Discipline Construction Project of Beijing Electronic Science and Technology Institute(No.3201012).
摘要The Internet of Things(IoT)is a network system that connects physical devices through the Internet,allowing them to interact.Nowadays,IoT has become an integral part of our lives,offering convenience and smart functionality.However,the growing number of IoT devices has brought about a corresponding increase in cybersecurity threats,such as device vulnerabilities,data privacy concerns,and network susceptibilities.Integrating blockchain technology with IoT has proven to be a promising approach to enhance IoT security.Nevertheless,the emergence of quantum computing poses a significant challenge to the security of traditional classical cryptography used in blockchain,potentially exposing it to quantum cyber-attacks.To support the growth of the IoT industry,mitigate quantum threats,and safeguard IoT data,this study proposes a robust blockchain solution for IoT that incorporates both classical and post-quantum security measures.Firstly,we present the Quantum-Enhanced Blockchain Architecture for IoT(QBIoT)to ensure secure data sharing and integrity protection.Secondly,we propose an improved Proof of Authority consensus algorithm called“Proof of Authority with Random Election”(PoARE),implemented within QBIoT for leader selection and new block creation.Thirdly,we develop a publickey quantum signature protocol for transaction verification in the blockchain.Finally,a comprehensive security analysis of QBIoT demonstrates its resilience against cyber threats from both classical and quantum adversaries.In summary,this research introduces an innovative quantum-enhanced blockchain solution to address quantum security concernswithin the realmof IoT.The proposedQBIoT framework contributes to the ongoing development of quantum blockchain technology and offers valuable insights for future research on IoT security.
基金This paper was supported in part by the National Natural Science Foundation of China under No.61921003,61925101,and 61831002the State Major Science and Technology Special Project(Grant No.2018ZX03001023)+3 种基金the Beijing Natural Science Foundation under No.JQ18016,and the National Program for Special Support of Eminent ProfessionalsThis paper was also supported by the Doctoral Research Fund of North China Institute of Aerospace Engineering under No.BKY-2021-17the North China Institute of Aerospace Engineering Foundation Project under No.KY-2021-2Langfang Science Technology Research&Development Plan Project under No.2020019002C.
摘要The distance-decay effect of molecular signals makes communication range a major challenge for diffusion-based Molecular Communication(MC).To solve this problem,the intermediate nano-machine is deployed as a relay between the transmitter and its intended receiver nano-machines.In this work,we employ the Depleted Molecule Shift Keying(D-MoSK)to model a Decode-and-Forward(DF)relay communication scheme.The closed-form expression of Bit Error Rate(BER)for the concerned DF relay with D-MoSK is derived.Meanwhile,the maximum a posteriori probability,minimum error probability,and maximum likelihood schemes are formulated for data detection.The relationships between BER and other key parameters,including the number of released molecules,receiving radius,and relay position,are investigated in detail.Simulation results show that the proposed scheme can improve communication reliability significantly.Moreover,the performance gain can be maximized by optimizing the position of the relay and the receiving radius.
基金supported by the National Natural Science Foundation of China(No.62571056)the work of Zhongyuan Zhao was supported in part by the Beijing Natural Science Foundation,China(No.L223026)。
摘要In this paper,we investigate an Unmanned Aerial Vehicle(UAV)-enabled integrated sensing and communications scenario,where the UAV simultaneously serves terrestrial communication users and detects terrestrial sensing targets.Traditional subcarrier allocation schemes,such as fully-overlapped or non-overlapped designs,suffer from mutual interference or inefficient spectrum utilization.To address this issue,we propose a Partially-Overlapped(PO)subcarrier allocation scheme that dedicates a fraction of subcarriers for sensing,while supporting communication across the full bandwidth.Based on the PO-based subcarrier allocation scheme,an integrated optimization problem is formulated to jointly design the beamforming,subcarrier allocation,and UAV trajectory,with the objective of maximizing the weighted throughput under sensing constraints.By applying Lyapunov optimization,the original problem is reformulated into a time-slotted driftplus-penalty problem.To solve the non-convexity,it is decoupled into three subproblems:beamforming design,subcarrier allocation,and UAV trajectory design,which are iteratively solved by utilizing an alternating optimization framework.Through numerical results,we demonstrate that the proposed algorithm outperforms baseline schemes(i.e.,the fully-overlapped scheme and the non-overlapped scheme).Furthermore,it achieves a favorable balance between the communication throughput and sensing performance by judiciously adjusting Lyapunov control parameter.
基金supported by the National Natural Science Foundation of China under No.62201075BUPT-China Unicom Joint Innovation Center under Grant 2025-STHZ-BJYDDX-008。
摘要Endogenous security in next-generation wireless communication systems attracts increasing attentions in recent years.A typical solution to endogenous security problems is the Quantum Key Distribution(QKD),where unconditional security can be achieved thanks to the inherent properties of quantum mechanics.Continuous Variable-Quantum Key Distribution(CV-QKD)enjoys high Secret Key Rate(SKR)and good compatibility with existing optical communication infrastructure.Traditional CV-QKD usually employ coherent receivers to detect coherent states,whose detection performance is restricted to the standard quantum limit.In this paper,we employ a generalized Kennedy receiver called CD-Kennedy receiver to enhance the detection performance of coherent states in turbulent channels,where Equal-Gain Combining(EGC)method is used to combine the output of CD-Kennedy receivers.Besides,we derive the SKR of a post-selection based CV-QKD protocol using both CD-Kennedy receiver and homodyne receiver with EGC in turbulent channels.We further propose an equivalent transmittance method to facilitate the calculation of both the Bit-Error Rate(BER)and SKR.Numerical results show that the CD-Kennedy receiver can outperform the homodyne receiver in turbulent channels in terms of both BER and SKR performance.We find that BER and SKR performance advantage of CD-Kennedy receiver over homodyne receiver demonstrate opposite trends as the average transmittance increases,which indicates that two separate system settings should be employed for communication and key distribution purposes.Besides,we also demonstrate that the SKR performance of a CD-Kennedy receiver is much robust than that of a homodyne receiver in turbulent channels.
基金supported in part by Beijing Natural Science Foundation(L244010,251038)National Natural Science Foundation of China(92467203,62372050,62502041)+2 种基金CCF-Huawei Populus Grove Fund(TC202418)Fellowship of China National Postdoctoral Program for Innovative Talents(BX20240045)China Postdoctoral Science Foundation General Program(2025M773481).
摘要Practical byzantine fault tolerance(PBFT)can reduce energy consumption and achieve high throughput compared with the traditional PoW algorithm,which is more suitable for a strongly consistent consortium blockchain.However,due to the frequent communication among nodes,PBFT cannot realize scalability in large-scale networks.Existing PBFTbased algorithms still ignore performance and security.Therefore,we propose a secure and efficient practical byzantine fault tolerance based on double layers and multi copies(DM-PBFT).We design a reputation evaluation and node scheduling method for DMPBFT.And then we propose an adaptive node scheduling strategy based on the derived threshold values after analyzing the system communication complexity and security.Combining the above research,a node dynamic adjustment mechanism is proposed to freeze or adjust the node operation status according to the system environment.Simulation experiments show that the proposed mechanism can improve efficiency and increase the system’s throughput.
基金supported by the National Natural Science Foundation of China(62571053,62341128,62571059)the National Science Fund for Distinguished Young Scholars(62525101)+2 种基金the National Key R&D Program of China(2023YFB2904805)the Natural Science Foundation of Beijing-Xiaomi Innovation Joint Foundation(L243002)Beijing University of Posts and Telecommunications-China Mobile Joint Research Institute.
摘要Satellite-to-ground communications are anticipated to play a crucial role in sixth-generation(6G)mobile systems by providing seamless coverage.Due to the long transmission distances,complex channel characteristics,and diverse terminal environments,satelliteto-ground channels exhibit unique features that distinguish them from terrestrial communication channels.Understanding and accurately modeling the channel is a premise for the design,optimization,and evaluation of satellite-to-ground communication systems.This paper provides a comprehensive review of the challenges and ongoing research in satellite-to-ground channel measurement,characterization,modeling,and standardization.Specifically,the paper discusses simulated and on-orbit satellite channel measurements,introduces large-scale and small-scale characteristics,and analyzes the challenges and progress in four satellite-toground channel models.In addition,the paper reviews the relevant standards efforts of key organizations and outlines potential future research directions.
基金supported by the National Key Research and Development Program of China under grant 2022YFF0902701the National Natural Science Foundation of China under grant U21A20468,61972043,61921003+1 种基金Zhejiang Lab under grant 2021PD0AB 02the Fundamental Research Funds for the Central Universities under grant 2020XD-A07-1.
摘要Ensuring an information fabric safe is critical and mandatory.For its related Internet of Things(IoT)service system running on the open Internet,existing host-based monitoring methods may fail due to only inspecting software,and the physical system may not be able to be protected.In this paper,a nonintrusive virtual machine(VM)-based runtime protection framework is provided to protect the physical system with the isolated IoT services as a controlling means.Compared with existing solutions,the framework gets inconsistent and untrusted observation knowledge from multiple observation sources,and enforces property policies concurrently and incrementally in a competing-game way to avoid compositional problems.In addition,the monitoring is implemented without any modification to the protected system.Experiments are conducted to validate the proposed techniques.