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BEYOND TERRESTRIAL INFRASTRUCTURE:METEOR BURST COMMUNICATIONS FOR NEXT-GENERATION EMERGENCY COMMUNICATION NETWORKS 认领 引用
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作者 Li Zan Tony QSQuek +1 位作者 Shi Jia Zhang Shengyu 《China Communications》 SCIE EI CSCD 2026年第5期I0002-I0004,共3页
Meteor burst communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient lon... Meteor burst communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient long-distance radio links.Known for its exceptional resilience,robustness,and sustained connectivity,MBC holds significant promise for applications in emergency communications,remote area connectivity,military/defense systems,and environmental monitoring.However,the scientific exploration and application of MBC have long been highly challenging.In particular,under the combined influence of multiple physical field factors,the channel experiences superimposed multiple random fading effects,exhibiting bursty,highly time-varying,and strongly random characteristics.This persistent technical challenge has resulted in the absence of a practical statistical channel model for MBC to date. 展开更多
关键词 wireless communication paradigmexploits earth s atmosphere Resilient Long Distance Radio Links Random Fading Effects Emergency Communication Networks emergency communicationsremote area connectivitymilitary defense transient ionized trails Meteor Burst Communication
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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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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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Introduction to the Special Issue on Computer Modeling for Future Communications and Networks 认领 引用
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作者 Wenbing Zhao Pan Wang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第6期36-38,共3页
The next generation of global communication networks is expected to deliver a transformative leap in connectivity,transcending beyond terrestrial limitations to achieve truly ubiquitous coverage.Rather than operating ... The next generation of global communication networks is expected to deliver a transformative leap in connectivity,transcending beyond terrestrial limitations to achieve truly ubiquitous coverage.Rather than operating as fragmented regional systems,future infrastructures will leverage Satellite-Terrestrial Integrated Networks(STIN)and 6G technologies to form a unified global network. 展开更多
关键词 unified global network computer modeling networks global communication networks future communications g technologies regional systemsfuture satellite terrestrial integrated networks
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To the Communications Community——2026 New Year's Message 认领 引用
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作者 Zhang Ping 《ZTE Communications》 2026年第1期1-1,共1页
At this historic juncture of deepening technological revolution and industrial transformation,China's communication sector stands on the eve of another great leap forward.Reflecting on the development of communica... At this historic juncture of deepening technological revolution and industrial transformation,China's communication sector stands on the eve of another great leap forward.Reflecting on the development of communications over the past two decades,China has forged an innovative path from catching up to keeping pace and then to leading the way.Today,at the new starting point of 6G development and facing the paradigm shift brought about by“AI+communications,”China's scientific research community,with the courage to venture into uncharted territory,is advancing original theories such as the new communication paradigm based on a unified theoretical framework of information theory to the global forefront. 展开更多
关键词 G communications technological revolution AI industrial transformationchinas industrial transformation paradigm shift development communications
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OTFS-Based Radar-Embedded Communications for High-Speed Scenarios 认领 引用
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作者 Liu Xiangli Zhao Hexiang Bai Xinlong 《China Communications》 SCIE EI CSCD 2026年第6期297-312,共16页
Orthogonal time frequency space(OTFS)has been broadly studied and applied in various fields due to its robustness in high dynamic scenes.In this paper,we investigate the application of OTFS in radarembedded communicat... Orthogonal time frequency space(OTFS)has been broadly studied and applied in various fields due to its robustness in high dynamic scenes.In this paper,we investigate the application of OTFS in radarembedded communication systems,and propose an OTFS-based radar-embedded communication model suitable for high-speed mobile scenarios.By comparing the communication reliability at different velocities,the benefits of OTFS-based radar-embedded communication systems over conventional linear frequency modulation(LFM)based systems are verified.The proposed algorithm also shows excellent radar detection performance,and compensates the channel state information according to the motion parameters of the target to achieve more accurate communication reception.Besides that,our algorithm exhibits superior covertness performance to that of LFM. 展开更多
关键词 communication reliability covert communications delay-Doppler channel OTFS radarembedded communication radar signal processing
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Intelligent joint communication and computation scheme of UAV-assisted offloading in high speed rail scenarios 认领 引用 被引量：1
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作者 Xiqi Cheng Jingxuan Zhang +4 位作者 Xiaodong Xu Shujun Han Bizhu Wang Mengyin Sun Ping Zhang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第4期594-606,共13页
With the continuous development of communication and computation technologies, large bandwidth services place higher demands on computing capacity and throughput in High-Speed Rail(HSR) scenarios. On the one hand, Mil... With the continuous development of communication and computation technologies, large bandwidth services place higher demands on computing capacity and throughput in High-Speed Rail(HSR) scenarios. On the one hand, Millimetre-Wave enables high data transmission rates, but leads to high Doppler frequency deviation as well as large path loss. On the other hand, the development of Mobile Edge Computing greatly alleviates user computing congestion. In this paper, we propose the Adaptive Joint Communication and Computation Resource Allocation scheme to solve the energy optimization problem of a dual-band UAV and Mobile Relay relay-assisted HSR offloading system. This scheme works well to optimize the performance of the system through resource allocation. In addition, since the optimization problem is modeled as a Mixed-Integer Nonlinear Program, we propose the Pre-and Post-state connected Parameterized Deep Q-Network algorithm, which is based on Deep Reinforcement Learning approach, for offloading decision and bandwidth resource allocation. Simulation results show that the proposed algorithms result in lower system energy consumption, while ensuring a high task completion rate as well. 展开更多
关键词 Unmanned aerial vehicle relay High-speed rail communication Mobile edge computing Dual-band communication Resource allocation Deep reinforce learning
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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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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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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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Covert communications for UAV-assisted network:A comprehensive survey 认领 引用
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作者 Zeke WU Kefeng GUO +4 位作者 Chao DONG Min WU Shibing ZHU Changqing LI Qihui WU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期471-497,共27页
Unmanned Aerial Vehicles(UAVs)have advantages such as high mobility,easy deployment,and low cost.Therefore,UAV-assisted networks have become one of the most promising architectures for next-generation wireless communi... Unmanned Aerial Vehicles(UAVs)have advantages such as high mobility,easy deployment,and low cost.Therefore,UAV-assisted networks have become one of the most promising architectures for next-generation wireless communications.However,due to the broadcast nature of the wireless channels,UAV-assisted networks are exposed to several types of security threats that need to be addressed with appropriate security technologies.Compared to traditional wireless security technologies such as encryption and Physical Layer Security(PLS),covert communication technology aims to conceal the presence of wireless transmissions to achieve a higher level of secure communication.In this survey,we first compare traditional wireless security technologies with covert communication technology.Then,we summarize the unique advantages of covert communication and briefly introduce its basic models.Besides,we introduce several typical covert scenarios in UAV-assisted networks.In addition,based on the common security threats in UAV-assisted networks,we present the existing generic solutions and investigate how the intrinsic mechanisms of covert communication can be exploited to mitigate these threats.Moreover,we outline the critical enabling techniques.Furthermore,two typical cases of UAV-assisted covert communication are presented,and some findings are also given along with simulation results.Finally,we point out several potential challenges and open issues. 展开更多
关键词 Wireless networks Unmanned aerial vehicles Secure transmission Covert communication Reconfigurable intelligent surface Integrated sensing and covert communication
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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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Machine Learning-Based Power Allocation for Covert Communication in LEO Satellite-UAV Cooperative Networks 认领 引用
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作者 Minjeong Kang Jung Hoon Lee Il-Gu Lee 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第4期1394-1412,共19页
In next-generation non-terrestrial network environments,the increasing risk of detection by unauthorized observers has motivated extensive research on covert communication approaches that minimize the probability of d... In next-generation non-terrestrial network environments,the increasing risk of detection by unauthorized observers has motivated extensive research on covert communication approaches that minimize the probability of detection.In particular,jamming-assisted cooperative covert communication has attracted significant attention as an effective approach to simultaneously ensure communication performance and security,leading to growing interest in cooperative architectures among heterogeneous platforms.This study investigates covert communication in Low Earth Orbit(LEO)satellite-unmanned aerial vehicle(UAV)cooperative networks,where the LEO satellite serves a legitimate user,while the UAV acts as a cooperative jammer to enhance covertness.A network that integrates a LEO satellite with wide service coverage and a UAV with high mobility offers flexible support for covert communication in diverse environments.However,the problem of optimally allocating power between the LEO satellite and UAV while satisfying the covert communication constraint inherently exhibits a non-convex structure,which commonly necessitates a discretized grid-search baseline over feasible candidate combinations.As the number of candidates increases,this approach suffers from rapidly increasing computational complexity.To address this computational burden,this study proposes a machine-learning(ML)-based power-allocation scheme.The proposed ML model leverages key channelrelated and covertness-related features to efficiently select an effective pair of power scaling factors,while significantly reduced computational complexity.Simulation results demonstrate that the proposed scheme achieves comparable average covert rate to that of the discretized grid-search baseline while requiring substantially lower computational complexity.These results further indicate that the proposed scheme enables low-latency and efficient power control in LEO satellite-UAV cooperative networks.Finally,future work will extend the proposed scheme to more complex multi-LEO satellite-UAV cooperative scenarios through joint optimization of additional system parameters. 展开更多
关键词 Low earth orbit(LEO)satellite communications unmanned aerial vehicle(UAV)cooperative jamming covert communication power allocation machine learning(ML)
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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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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 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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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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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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Robust and hyper-efficient multidimensional optical fiber semantic communication 认领 引用
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作者 Yuxuan Xiong Ziwen Zhou +10 位作者 Jixing Ren Jingze Liu Zheng Gao Ting Jiang Xuchen Hua Gengqi Yao Yuqi Li Mingming Zhang Hao Wu Siqi Yan Ming Tang 《Advanced Photonics》 SCIE EI CAS CSCD 2026年第3期38-51,共14页
The growing demands of artificial intelligence and immersive media require communication beyond bit-level accuracy to meaning awareness.Conventional optical systems that focus on syntactic precision suffer significant... The growing demands of artificial intelligence and immersive media require communication beyond bit-level accuracy to meaning awareness.Conventional optical systems that focus on syntactic precision suffer significant inefficiencies.We introduce a multidimensional semantic communication framework that bridges this gap by directly mapping high-level semantic features onto the orthogonal physical dimensions of light,frequency,polarization,and intensity,within a multimode fiber.By densely multiplexing information across these physical degrees of freedom,the system achieves an unprecedented semantic equivalent spectral efficiency approaching 1000 bit s⁻¹Hz⁻¹.Moreover,it demonstrates profound resilience,maintaining high-fidelity reconstruction even when the physical-layer symbol error rate exceeds 36%,a condition under which conventional communication systems fail completely.Crucially,this deeply integrated codesign of semantic encoding and physical-layer modulation enables full semantic demodulation with only single-ended intensity detection,therefore significantly reducing system complexity and cost.This work establishes a validated pathway toward hyper-efficient,error-resilient optical networks for the next generation of data-intensive computing. 展开更多
关键词 multimode fiber semantic communication multidimensional multiplexing high semantic equivalent spectral efficiency.
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