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Generative Semantic Communication:Architectures,Technologies,and Applications 认领 引用 被引量：4
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作者 Jinke Ren Yaping Sun +7 位作者 Hongyang Du Weiwen Yuan Chongjie Wang Xianda Wang Yingbin Zhou Ziwei Zhu Fangxin Wang Shuguang Cui 《Engineering》 SCIE EI CSCD 2026年第1期45-61,共17页
Semantic communication(SemCom)has emerged as a transformative paradigm for future wireless networks,aiming to improve communication efficiency by transmitting only the semantic meaning(or its encoded version)of the so... Semantic communication(SemCom)has emerged as a transformative paradigm for future wireless networks,aiming to improve communication efficiency by transmitting only the semantic meaning(or its encoded version)of the source data rather than the complete set of bits(symbols).However,traditional deep-learning-based SemCom systems present challenges such as limited generalization,low robustness,and inadequate reasoning capabilities,primarily due to the inherently discriminative nature of deep neural networks.To address these limitations,generative artificial intelligence(GAI)is seen as a promising solution,offering notable advantages in learning complex data distributions,transforming data between high-and low-dimensional spaces,and generating high-quality content.This paper explores the applications of GAI in SemCom and presents a comprehensive study.It begins by introducing three widely used SemCom systems enabled by classical GAI models:variational autoencoders,generative adversarial networks,and diffusion models.For each system,the fundamental concept of the GAI model,the corresponding SemCom architecture,and a literature review of recent developments are provided.Subsequently,a novel generative SemCom system is proposed,incorporating cutting-edge GAI technology—large language models(LLMs).This system features LLM-based artificial intelligence(AI)agents at both the transmitter and receiver,which act as“brains”to enable advanced information understanding and content regeneration capabilities,respectively.Unlike traditional systems that focus on bitstream recovery,this design allows the receiver to directly generate the desired content from the coded semantic information sent by the transmitter.As a result,the communication paradigm shifts from“information recovery”to“information regeneration,”marking a new era in generative SemCom.A case study on point-to-point video retrieval is presented to demonstrate the effectiveness of the proposed system,showing a 99.98%reduction in communication overhead and a 53%improvement in average retrieval accuracy compared to traditional communication systems.Furthermore,four typical application scenarios for generative SemCom are described,followed by a discussion of three open issues for future research.In summary,this paper provides a comprehensive set of guidelines for applying GAI in SemCom,laying the groundwork for the efficient deployment of generative SemCom in future wireless networks. 展开更多
关键词 Semantic communication Generative artificial intelligence Large language model Variational autoencoder Generative adversarial network Diffusion model
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Wireless Environmental Information Theory:A New Paradigm Toward 6G Online and Proactive Environment Intelligence Communication 认领 引用 被引量：4
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作者 Jianhua Zhang Li Yu +4 位作者 Shaoyi Liu Yichen Cai Yuxiang Zhang Hongbo Xing Tao Jiang 《Engineering》 SCIE EI CSCD 2026年第1期186-200,共15页
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
关键词 Sixth generation Intelligent communication Environment intelligence Wireless environmental information theory Environment sensing and reconstruction Channel prediction Digital twin channel ChannelGPT
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Research on Vehicle Joint Radar Communication Resource Optimization Method Based on GNN-DRL 认领 引用 被引量：1
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作者 Zeyu Chen Jian Sun +1 位作者 Zhengda Huan Ziyi Zhang 《Computers, Materials & Continua》 SCIE EI 2026年第2期1430-1446,共17页
To address the issues of poor adaptability in resource allocation and low multi-agent cooperation efficiency in Joint Radar and Communication(JRC)systems under dynamic environments,an intelligent optimization framewor... To address the issues of poor adaptability in resource allocation and low multi-agent cooperation efficiency in Joint Radar and Communication(JRC)systems under dynamic environments,an intelligent optimization framework integrating Deep Reinforcement Learning(DRL)and Graph Neural Network(GNN)is proposed.This framework models resource allocation as a Partially Observable Markov Game(POMG),designs a weighted reward function to balance radar and communication efficiencies,adopts the Multi-Agent Proximal Policy Optimization(MAPPO)framework,and integrates Graph Convolutional Networks(GCN)and Graph Sample and Aggregate(Graph-SAGE)to optimize information interaction.Simulations show that,compared with traditional methods and pure DRL methods,the proposed framework achieves improvements in performance metrics such as communication success rate,Average Age of Information(AoI),and policy convergence speed,effectively enabling resource management in complex environments.Moreover,the proposed GNN-DRL-based intelligent optimization framework obtains significantly better performance for resource management in multi-agent JRC systems than traditional methods and pure DRL methods. 展开更多
关键词 Graph neural network joint radar and communication resource allocation multi-agent collaboration
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Ce3+-doped CaSrSiO4 blue phosphor prepared via a novel selfreduction strategy for high-CRI solid-state lighting and visible light communication 认领 引用 被引量：1
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作者 Yuqi Cai Chunyu Zuo +6 位作者 Weiling Yang Yifeng Zhu Shuai Yang Yingchao Li Xin Zhao Zhuang Liu Chun Li 《Journal of Rare Earths》 SCIE EI CAS CSCD 2026年第1期56-66,共11页
This study focuses on the synthesis and luminesce nce properties of Ce3+-doped CaSrSiO4 phosphor.Typically,the synthesis of Ce3+luminescent materials requires a reducing atmosphere.In this work,the traditiona... This study focuses on the synthesis and luminesce nce properties of Ce3+-doped CaSrSiO4 phosphor.Typically,the synthesis of Ce3+luminescent materials requires a reducing atmosphere.In this work,the traditional high-temperature solid-phase method was used in air atmosphere with SiC as the reducing material to successfully prepare CaSrSiO4:Ce3+ blue phosphor,and the self-reduction mechanism is discussed.The samples were characterized by X-ray diffraction(XRD),Rietveld refined XRD,scanning electron microscopy(SEM),and X-ray photoelectron spectroscopy(XPS),and the characterization results show that the CaSrSiO4 phase is obtained.The resulting phosphor exhibits exceptional brightness in blue light and remarkable thermal stability,with a ratio of 94% at elevated temperatures(423 K/303 K).The Ca1-xSr1-xSiO4:0.015Ce3+,0.015Li+ phosphors were combined with commercial green and red powders to create a white light-emitting diode(WLED) package with 365 nm chips.This results in a WLED with high performance,featuring a high color rendering index of Ra=95 and a correlated color temperature(CCT) of 5373 K.At the same time,a visible light communication system was produced to test the communication bandwidth.Compared with commercial YAG:Ce3+ phosphor and BAM:Eu2+ phosphor,the bandwidth is increased by 40.9% and 1092.3%,respectively. 展开更多
关键词 CaSrSiO4phosphor Visible light communication Solid state lighting Bandwidth Self-reducing phosphor Rare earths
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[0,1]Modulated Backscatter with Lower-Power Integration of Sensing and Communication for I-IoE in 6G 认领 引用
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作者 Tao Jiang Miaoran Peng +2 位作者 Yu Zhang Xin Zhu Shuqi Tang 《Engineering》 SCIE EI CSCD 2026年第6期354-364,共11页
Artificial intelligence for the intelligent Internet of Everything(I-IoE)establishes a four-dimensional interconnection among people,data,processes,and things,providing possibilities for the next generation of industr... Artificial intelligence for the intelligent Internet of Everything(I-IoE)establishes a four-dimensional interconnection among people,data,processes,and things,providing possibilities for the next generation of industrial revolution.Against the ultra-high power consumption brought by massive connectivity,pas-sive backscatter communication has emerged as a promising paradigm for the I-IoE.However,even with a well-designed communication module,integrating sensing components significantly multiplies the overall system complexity and cost in the context of the{0,1}modulation paradigm.In this paper,we introduce a[0,1]modulated backscatter architecture that achieves the seamless integration of passive sensing and communication.Unlike the conventional backscatter of reading,encoding,and reflecting,the proposed[0,1]modulated backscatter directly converts environmental physical quantities into con-tinuous frequency-modulated square waves.Building on this concept,we propose an intelligent detec-tion method based on graph dimensionality reduction.This method achieves low computational complexity at the receiver by leveraging a pre-measured dataset.We then present a hardware commu-nication system that performs data collection,transmission,and demodulation,providing experimental validation for the proposed architecture.Furthermore,simulation results verify the feasibility of a contin-uous frequency division multiple-access method for large-scale tags.The experimental results demon-strate the superior performance of the proposed scheme.This work provides a potential breakthrough for achieving ultra-low-power integrated sensing and communication in sixth-generation wireless com-munication networks. 展开更多
关键词 Wireless communication Backscatter communication Sensing Artificial intelligence Hardware implementation
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Robust wireless communication using self-healing non-diffracting beams 认领 引用
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作者 JUN XIA YUJIE LIU +5 位作者 JIAWEI WANG XIAOJIAN FU QIANRU YANG YU LUO TIE JUN CUI JINGJING ZHANG 《Photonics Research》 SCIE EI CAS CSCD 2026年第5期2028-2037,共10页
The surge in wireless data traffic propelled by the Internet of Things,autonomous systems,and augmented reality calls for new microwave communication systems that can overcome the fundamental limitations of line-of-si... The surge in wireless data traffic propelled by the Internet of Things,autonomous systems,and augmented reality calls for new microwave communication systems that can overcome the fundamental limitations of line-of-sight(LOS)propagation.To address this need,we propose a metamaterial-based platform that integrates non-diffracting beam dynamics with microwave communications to achieve robust obstacle-immune transmissions.We design and fabricate a multilayer dielectric metasurface operating across 15-25 GHz,which can modulate the phase and amplitude simultaneously and independently to generate non-diffracting beams. 展开更多
关键词 multilayer dielectric metasurface microwave communications self healing non diffracting beams internet things augmented reality microwave communication systems wireless communication
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Energy Efficient Covert Communication in a Direct Uplink Satellite-Ground Communication Scenario 认领 引用
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作者 Fu Shu Zeng Wen +1 位作者 Yin Liuguo Zhao Lian 《China Communications》 SCIE EI CSCD 2026年第1期166-174,共9页
Efficient energy utilization in covert communication sustains covertness while assuring communication quality and efficiency.This paper investigates covert communication energy efficiency(EE)in direct uplink satellite... Efficient energy utilization in covert communication sustains covertness while assuring communication quality and efficiency.This paper investigates covert communication energy efficiency(EE)in direct uplink satellite-ground communications,focusing on enhancing system EE via optimized transmit beamforming and satellite orbit altitude selection.This paper first establishes an optimization problem to maximize system EE in a direct uplink satelliteground covert communication scenario.To solve this non-convex optimization problem,it is decomposed into two subproblems and solved using the successive convex approximation(SCA)method.Based on the above methods,this paper proposes an overall iterative optimization algorithm.Simulation results demonstrate that the proposed algorithm surpasses the conventional baseline algorithms in terms of system EE.Furthermore,they elucidate the correlation between the amount of information received by the receiver and the variations in the satellite’s orbital altitude. 展开更多
关键词 covert communication direct uplink satellite-ground communication energy efficiency
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A Robust Bio-inspired Collective Navigation Method for Drone Swarm in Communication Constrained Environments 认领 引用
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作者 Zijun Zhou Feng Yu +2 位作者 Zhen He Chenyang Li Zhi Yang 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第3期1534-1550,共17页
Collective navigation is inspired by the long-distance migrations of biological swarms,which maintain stable collective behavior in the whole journey.Inspired by these biological navigation mechanisms,multi-agent syst... Collective navigation is inspired by the long-distance migrations of biological swarms,which maintain stable collective behavior in the whole journey.Inspired by these biological navigation mechanisms,multi-agent systems can implement such strategies to eliminate their reliance on inter-agent communication.However,existing bio-inspired collective navigation methods often rely on noisy relative positioning measurements and lack sufficient fault tolerance for absolute positioning failures.To address these issues,we propose a robust bio-inspired collective navigation method for drone swarms based on information fusion and adaptive fault tolerance.At the perception level,an interactive multiple model-based fusion framework integrates kinematic predictions with visual positioning measurements,thereby suppressing sensor noise and improving relative positioning accuracy.At the decision level,we develop an adaptive fault-tolerant bio-inspired swarm decision-making algorithm,which consists of(1)a dual-gradient proximal term that enables rapid collision avoidance and swarm aggregation and(2)an adaptive migration term that allows agents to dynamically adjust decision weights based on their positioning confidence.During positioning failures,agents reduce reliance on the migration term and increase their dependence on neighbors.Numerical simulations and real-world flight experiments demonstrate that the proposed method significantly enhances visual relative positioning precision and maintains stable collective performance during positioning failures,thereby improving the collective navigation robustness. 展开更多
关键词 Bio-inspired Drone swarm Collective navigation Communication denial Swarm decision-making
A Dual-Broadband Liquid-Crystal Programmable Metasurface and Its Application in Terahertz Wireless Communications 认领 引用
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作者 Yuan Fu Yuanbo Li +8 位作者 Xiaojian Fu Lu Xu Yujie Liu Qun Yan Zhou Jun Yang Chong Han Jun Yan Dai Qiang Cheng Tie Jun Cui 《Engineering》 SCIE EI CSCD 2026年第4期352-363,共12页
Terahertz communication technology is envisioned as a promising candidate for the pivotal spectrum technology in future wireless communication networks.However,the limited penetration ability of terahertz waves makes ... Terahertz communication technology is envisioned as a promising candidate for the pivotal spectrum technology in future wireless communication networks.However,the limited penetration ability of terahertz waves makes line-of-sight(LoS)transmission indispensable,hindering the extensive application of terahertz communications.In this work,a novel liquid-crystal programmable metasurface(LCPM)is proposed for the first time,which can effectively achieve dual-broadband beam manipulation to improve link stability and extend coverage for terahertz communications in non-line-of-sight(NLoS)scenarios.The LCPM is operated in both the W band that covers 94 GHz and the D band that covers 140 GHz,corresponding to x-polarized and y-polarized wave incidence,respectively.Based on the proposed LCPM,realistic NLoS terahertz communication links are established and showcased.Communication measurements substantiate that the LCPM is capable of realizing extensive dynamic channel regulations and long-distance communications across both bands in various modulation schemes,supporting real-time high-speed video transmission.The experimental results validate the feasibility of employing the LCPM for terahertz wireless communications,paving the way for developing and implementing ubiquitous terahertz communication networks even with LoS blockage. 展开更多
关键词 Programmable metasurface Terahertz communication Reconfigurable intelligent surface Dual-frequency Broadband Beamforming
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Continuous-variable quantum secure direct communication with one-time pad 认领 引用
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作者 Yi-Yu Mao Chang-Hua Hu +2 位作者 Wen-Ti Huang Wei Zhao Lei Chen 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第4期121-129,共9页
Quantum secure direct communication(QSDC)enables the direct transmission of secret messages over a quantum channel without prior key sharing.QSDC implemented in the continuous-variable(CV)regime allows high-capacity i... Quantum secure direct communication(QSDC)enables the direct transmission of secret messages over a quantum channel without prior key sharing.QSDC implemented in the continuous-variable(CV)regime allows high-capacity information transmission using simple optical communication technologies.In this work,we propose a novel CV-QSDC protocol with a quantum one-time pad,which achieves secure message transmission based on coherent states and unitary operations,and the receiver can directly obtain the secret messages after measuring the coherent states.The security of this protocol is jointly guaranteed by one-time pad encryption and a CV quantum key distribution(QKD)protocol.Performance analysis shows that the proposed scheme can achieve a quantum bit error rate(QBER)lower than 1% by adjusting the modulation variance and unitary operation parameters.With the optimal modulation variance,the secure transmission distance of the proposed protocol can exceed 150 km. 展开更多
关键词 quantum secure direct communication quantum-one-time pad continuous-variable
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Generative Video Communications:Concepts,Key Technologies,and Future Research Trends 认领 引用
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作者 Wenjun Zhang Guo Lu +1 位作者 Zhiyong Chen Geoffrey Ye Li 《Engineering》 SCIE EI CSCD 2026年第1期163-172,共10页
With the rapid growth of video traffic and the evolution of video formats,traditional video communication systems are encountering many challenges,such as limited data compression capacity,high energy consumption,and ... With the rapid growth of video traffic and the evolution of video formats,traditional video communication systems are encountering many challenges,such as limited data compression capacity,high energy consumption,and a narrow range of services.These challenges stem from the constraints of current systems,which rely heavily on discriminative methods for visual content reconstruction and achieve communication gains only in the information and physical domains.To address these issues,this paper introduces generative video communication,a novel paradigm that leverages generative artificial intelligence technologies to enhance video content expression.The core objective is to improve the expressive capabilities of video communication by enabling new gains in the cognitive domain(i.e.,content dimension)while complementing existing frameworks.This paper presents key technical pathways for the proposed paradigm,including elastic encoding,collaborative transmission,and trustworthy evaluation,and explores its potential applications in task-oriented and immersive communication.Through this generative approach,we aim to overcome the limitations of traditional video communication systems,offering more efficient,adaptable,and immersive video services. 展开更多
关键词 Video communications Video compression Video transmission Video evaluation
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Geographic and genetic factors shape acoustic divergence and dialect-like variation in communication calls in the greater horseshoe bats 认领 引用
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作者 Kang-Kang Zhang Hong-Wei Wang +6 位作者 Hong-Jun Lin Guan-Jun Lu Xiao-Bin Huang Tong Liu Walter Metzner Jiang Feng Ying Liu 《Zoological Research》 SCIE CSCD 2026年第2期414-428,共15页
Acoustic divergence is a fundamental component of signalbased communication in animals,including humans,and has major implications for individual recognition,mate choice,and speciation.Bats have recently become an imp... Acoustic divergence is a fundamental component of signalbased communication in animals,including humans,and has major implications for individual recognition,mate choice,and speciation.Bats have recently become an important model system for investigating acoustic communication due to their structurally complex vocal repertoires.This study explored communication calls of greater horseshoe bats(Rhinolophus nippon)to determine whether geographically structured dialects occur and to identify factors associated with dialect formation.Communication calls from nine populations distributed across three regions were analyzed,and 12 syllable types shared among populations were identified.The associations of dialect differentiation with acoustic,climatic,morphological,and genetic distances,together with the influence of geographic barriers,were investigated.Results demonstrated significant acoustic variation among populations and regions for each syllable type,and this divergence was driven by diverse factors.As bats typically emit syllables in combination,all shared syllable types were subsequently analyzed as an integrated dataset.At this broader level,acoustic distance showed significant correlations with both geographic and genetic distance.Causal modeling further revealed that geographic distance and geographic barriers exerted direct effects on dialect differentiation.The sampled populations were classified into three dialect regions:Northeast,Central-East,and Southwest.The Qinling Mountains formed the boundary between the Central-East and Southwest regions.These findings provide clear evidence for the existence of dialect structure in communication calls of greater horseshoe bats and identify geographic isolation as a major force in the formation and preservation of vocal divergence.This study advances current understanding of animal acoustic evolution and offers insight into mechanisms linking vocal diversification with the generation of biological diversity. 展开更多
关键词 Acoustic divergence Dialects Geographic variation Driving forces Communication calls Bats
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Hybrid optoelectronic-integrated module design for quantum communication 认领 引用
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作者 Zhao-Yuan Chen Yan-Fei Liu +4 位作者 Xiao-Sheng Si Hao Zheng Tian-Mei Li Lei Feng Hǎo Zheng 《Advanced Photonics Nexus》 CSCD 2026年第3期72-81,共10页
Quantum key distribution(QKD)technology is progressively transitioning from experimental research to industrial development.The development of highly integrated and stable QKD modules has thus emerged as a new researc... Quantum key distribution(QKD)technology is progressively transitioning from experimental research to industrial development.The development of highly integrated and stable QKD modules has thus emerged as a new research direction.Current integrated QKD research primarily focuses on the integration of optical systems,with relatively few studies addressing optoelectronic co-integration.Due to the more stringent demands of QKD systems on driving signal amplitude,noise,and bandwidth,the driving electronics become more complex and power-intensive,making it difficult to achieve the level of optoelectronic integration seen in classical optical communication systems.We propose a hybrid optoelectronic integrating scheme for QKD modules based on chip-on-board technology,which co-packages the QKD-encoding photonic chip and its required electronic driver chips within a compact,centimeter-scale module.By optimizing the layout structure,incorporating thermal management,and implementing active temperature control,the module temperature can be stabilized within a set range.Simulation and experimental results demonstrate that the module has a total power consumption of 7.69 W and can maintain a stable temperature of 45℃ for extended periods when the thermoelectric cooler is active.This effectively ensures the stable operation of the photonic chip and supports long-term QKD functionality,thereby providing technical support for advancing hybrid optoelectronic integrated QKD systems. 展开更多
关键词 quantum communication hybrid packaging chip-on-board thermal management
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Explicit Semantic-Base-Empowered Communications for 6G Mobile Networks 认领 引用
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作者 Fengyu Wang Yuan Zheng +3 位作者 Wenjun Xu Junxiao Liang Ping Zhang Zhu Han 《Engineering》 SCIE EI CSCD 2026年第1期34-44,共11页
Increasing demands for massive data transmission pose significant challenges to communication systems.Compared with traditional communication systems that focus on the accurate reconstruction of bit sequences,semantic... Increasing demands for massive data transmission pose significant challenges to communication systems.Compared with traditional communication systems that focus on the accurate reconstruction of bit sequences,semantic communications(Sem Coms),which aim to deliver information connotation,are regarded as a key technology for sixth-generation(6G)mobile networks.Most current Sem Coms utilize an end-to-end(E2E)trained neural network(NN)for semantic extraction and interpretation,which lacks interpretability for further optimization.Moreover,NN-based Sem Coms assume that the application and physical layers of the protocol stack can be jointly trained,which is incompatible with current digital communication systems.To overcome those drawbacks,we propose a Sem Com system that employs explicit semantic bases(Sebs)as the basic units to represent semantic connotations.First,a mathematical model of Sebs is proposed to build an explicit knowledge base(KB).Then,the Seb-based Sem Com architecture is proposed,including both a communication mode and a KB update mode to enable the evolution of communication systems.Sem-codec and channel codec modules are designed specifically,with the assistance of an explicit KB for the efficient and robust transmission of semantics.Moreover,unequal error protection(UEP)is strategically implemented,considering communication intent and the importance of Sebs,thereby ensuring the reliability of critical semantics.In addition,a Seb-based Sem Com protocol stack that is compatible with the fifth-generation(5G)protocol stack is proposed.To assess the effectiveness and compatibility of the proposed Seb-based Sem Coms,a case study focusing on an image-transmission task is conducted.The simulations show that our Seb-based Sem Coms outperform state-of-the-art works in learned perceptual image patch similarity(LPIPS)by over20%under varying communication intents and exhibit robustness under fluctuating channel conditions,highlighting the advantages of the interpretability and flexibility afforded by explicit Sebs. 展开更多
关键词 Semantic communications Semantic bases Knowledge base Unequal error protection
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T-Pointer:A Chinese Text Semantic Extraction Model for Semantic Communication 认领 引用
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作者 Qian Liping Qian Jiang +3 位作者 Wu Wanwan Huang Liang Wu Yuan Yang Xiaoniu 《China Communications》 SCIE EI CSCD 2026年第2期298-311,共14页
Text semantic extraction has been envisioned as a promising solution to improve the data transmission efficiency with the limited radio resources for the autonomous interactions among machines and things in the future... Text semantic extraction has been envisioned as a promising solution to improve the data transmission efficiency with the limited radio resources for the autonomous interactions among machines and things in the future sixth-generation(6G)wireless networks.In this paper,we propose a Chinese text semantic extraction model,namely T-Pointer,to improve the quality of semantic extraction by integrating the Transformer with the pointer-generator network.The proposed T-Pointer model consists of a semantic encoder and a semantic decoder.In the encoding stage,we use the multi-head attention mechanism of the Transformer to extract semantic features from the input Chinese text.In the decoding stage,we first use the Transformer to extract multi-level global text features.Then,we introduce the pointer-generator network model to directly copy the keyword information from the source text.The simulation results demonstrate that the T-Pointer model can improve the bilingual evaluation understudy(BLEU)and recalloriented understudy for gisting evaluation(ROUGE)by 14.69%and 14.87%on average in comparison with the state-of-the-art models,respectively.Also,we implement the T-Pointer model on a semantic communication system based on the universal software radio peripheral(USRP)platform.The result shows that the packet delay of semantic transmission can be reduced by 52.05%on average,compared to traditional information transmission. 展开更多
关键词 attention mechanism pointer-generator network semantic communication semantic extraction transformer
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Communication-efficient federated multi-domain learning for network anomaly detection 认领 引用
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作者 Chunjiong Zhang Gaoyang Shan Byeong-hee Roh 《Digital Communications and Networks》 SCIE EI CSCD 2026年第3期472-481,共10页
Efficient and accurate anomaly detection in a network is of great significance for maintaining network and device security.Most anomaly detection methods assume that different anomalous network data distributions are ... Efficient and accurate anomaly detection in a network is of great significance for maintaining network and device security.Most anomaly detection methods assume that different anomalous network data distributions are the same or similar and ignore data privacy preservation.In this paper,a novel Federated Learning(FL)is proposed that it can quickly detect different types of anomalies in Non-Independent and Identically Distributed(Non-IID)data.First,we design a multi-domain machine learning model for multi-domain data,named Aegean,which consists of two modules:an ensemble AutoEncoder(AE)and a Generative Adversarial Network(GAN).Second,because data from different domains are non-IID,we model the anomaly detection problem as a dual problem,which can be recast as a robust optimization problem.The robust optimization problem is non-convex and therefore difficult to solve.As a remedy,we formulate and solve a dual problem by taking the Lagrangian dual function of the original problem.Experiments demonstrate that Aegean significantly outperforms the current state-of-the-art methods,with a 16%F1 score improvement over that of a One-Class Support Vector Machine(OCSVM).The designed FL significantly reduces the communication overhead of FedAvg without sacrificing anomaly detection performance. 展开更多
关键词 Federated learning Multi-domain Network anomaly detection Communication
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A digital twin-based quadruped robot system with scene perception,fast communication,and holographic interaction 认领 引用
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作者 Chen Zhu Jianrong Bao +5 位作者 Zhouxiang Zhao Zhaohui Yang Chongwen Huang Jiawen Kang Hao Xu Zhaoyang Zhang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第2期262-272,共11页
This paper develops a quadruped robot virtual-real interactive control system based on digital twin technology.The system is designed to address key challenges in robotics technology,including real-time performance,lo... This paper develops a quadruped robot virtual-real interactive control system based on digital twin technology.The system is designed to address key challenges in robotics technology,including real-time performance,lowlatency control,high-precision multi-sensor data fusion,stable network transmission,data security,user-friendly interaction interface,system scalability,and maintainability.The system comprises a number of functional modules,including a 3D modeling module,a positioning perception module,a virtual interaction module,a wise sensing-transmission module,and a cloud server.The 3D modeling module is responsible for constructing the virtual quadruped robot and motion space scenarios.The positioning perception module integrates LiDAR and Inertial Measurement Unit(IMU)data,utilizing Point-LIO and HDL-localization algorithms for high-precision environmental perception and positioning.The virtual interaction module provides a user-friendly control interface through computer software and the HoloLens headset.The wise sensing-transmission module employs WiFi and 5G links to ensure low-latency and high-bandwidth data transmission,and employs libhv and libs sl asynchronous IO and network security cryptographic libraries to guarantee data security.The system is designed to run on the Ubuntu 20.04 platform,offering excellent scalability and maintainability.This system has broad application prospects in industrial manufacturing,construction,disaster rescue,military applications,and educational training.It enhances the performance and reliability of quadruped robot systems and lays a solid foundation for the future development of the industrial metaverse. 展开更多
关键词 Virtual-real interaction Quadruped robot Digital twin Multi-sensor data fusion Communication protocols
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An Agent-Based Network Power Management Scheme in WSN for Enhanced Edge Communication in Beyond 5G Networks 认领 引用
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作者 Pratik Goswami Hamid Naseem +1 位作者 Khizar Abbas Kwonhue Choi 《Computers, Materials & Continua》 SCIE EI 2026年第6期1084-1107,共24页
In a distributed edge computing environment,Internet of Things(IoT)and Vehicular-IoT(V-IoT)devices communicate through Wireless Sensor Networks(WSNs)by collecting and transmitting data from different environments.Alth... In a distributed edge computing environment,Internet of Things(IoT)and Vehicular-IoT(V-IoT)devices communicate through Wireless Sensor Networks(WSNs)by collecting and transmitting data from different environments.Although energy efficiency is always a critical challenge in WSN due to limited battery power,along with the demand for fast communication over edge devices in 5G and beyond 5G scenarios.Therefore,to overcome the challenges,an advanced hierarchical agent-based power management scheme is proposed for WSNs that optimizes energy distribution while maintaining reliable communication.The proposed model employs Master Agents(MAs),Coordination Agents(CoAs),and Task Agents(TAs)to manage power allocation by following a specific order of selection of nodes.The system dynamically adjusts power distribution based on node requirements,trust values,and communication demands over an optimally covered area of nodes,distributed with a 2D Poisson Point Process.Simulation results demonstrate improved energy efficiency,extended network lifetime,and enhanced communication reliability in edge computing scenarios. 展开更多
关键词 WSN energy efficient communication distributed power allocation internet of things(IoT) V-IoT edge communication 5G/6G
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A cognitive agriculture framework for crop temperature prediction with semantic communication 认领 引用
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作者 Hao Liu Xinyao Pan +4 位作者 Wenhan Long Yonghui Wu Lu Liu John Panneerselvam Rongbo Zhu 《Digital Communications and Networks》 SCIE EI CSCD 2026年第1期38-51,共14页
Accurate prediction of environmental temperature is pivotal for promoting sustainable crop growth.At present,the most effective temperature sensing and prediction system is the Agricultural Internet of Things(AIoT),wh... Accurate prediction of environmental temperature is pivotal for promoting sustainable crop growth.At present,the most effective temperature sensing and prediction system is the Agricultural Internet of Things(AIoT),which deploys a large number of sensors to collect meteorological data and transmits them to the cloud server for prediction.However,this procedure is computationally and communicationally expensive for resourceconstrained AIoT.Recently,Semantic Communication(SC)has shown potential in efficient data transmission,but existing methods overlook the repetitive semantic information whilst sensing data,bringing additional overheads.With the resource-constraint nature of AIoT in mind,we propose the Semantic Communication-enabled Cognitive Agriculture Framework(SC-CAF)for delivering accurate temperature predictions.The proposed SC-CAF incorporates an intelligent analysis layer that performs the temperature prediction and model training and distribution,while a semantic layer transmitting the semantic information extracted from raw data based on the download model,ultimately to reduce communication overheads in AIoT.Furthermore,we propose a novel model called the Light Temperature Semantic Communication(LTSC)by adopting skip-attention and semantic compressor to avoid unnecessary computation and repetitive information,thereby addressing the semantic redundancy issues in sensing data.We also develop a Semantic-based Model Compression(SCMC)algorithm to alleviate the computation and bandwidth burden,enabling AIoT to explore the extensive usage of SC.Experimental results demonstrate that the proposed SC-CAF achieves the lowest prediction error while reducing Floating Point Operations(FLOPs)by 95.88%,memory requirements by 78.30%,Graphics Processing Unit(GPU)power by 50.77%,and time latency by 84.44%,outperforming notable state-of-the-art methods. 展开更多
关键词 Agricultural Internet of Things Cognitive agriculture Semantic communication Temperature prediction Model compression
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