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学者姓名：陈由甲
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Cell-free networks and reconfigurable intelligent surfaces (RIS) are two promising techniques for future wireless communications. The integration of RIS into cell-free networks, termed RIS-aided cell-free networks, offers the potential to significantly enhance network performance. However, the realization of this potential is constrained by the limited capacities of the fronthaul links. To address this challenge, we investigate the joint design of access point (AP) clustering, transmit and passive beamforming in RIS-aided cell-free networks. The objective is to maximize the weighted sum-rate performance while minimizing the number of clustered APs to alleviate the fronthaul overhead. The problem is formulated in a group sparse manner, employing a mixed zero-norm/two-norm term to represent the number of the clustered APs. To solve this problem, we first approximate the mixed zero-norm/two-norm term by the mixed one-norm/two-norm term and provide its equivalent formulation by introducing receive beamforming vectors and weight parameters. Then, an iterative method is proposed based on the block coordinate descent (BCD) technique, which is guaranteed to converge to a stationary point. Simulation results demonstrate the effectiveness of the proposed method. © 1967-2012 IEEE.
Keyword ：
Beamforming Beamforming Iterative methods Iterative methods
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| GB/T 7714 | Xu, Chunmei , Jia, Yuanqi , Chen, Youjia et al. Joint AP Clustering and Beamforming Design for RIS-Aided Cell-Free Networks [J]. | IEEE Transactions on Vehicular Technology , 2025 , 74 (5) : 8315-8320 . |
| MLA | Xu, Chunmei et al. "Joint AP Clustering and Beamforming Design for RIS-Aided Cell-Free Networks" . | IEEE Transactions on Vehicular Technology 74 . 5 (2025) : 8315-8320 . |
| APA | Xu, Chunmei , Jia, Yuanqi , Chen, Youjia , Huang, Wei . Joint AP Clustering and Beamforming Design for RIS-Aided Cell-Free Networks . | IEEE Transactions on Vehicular Technology , 2025 , 74 (5) , 8315-8320 . |
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The flexible control of electromagnetic (EM) waves across the entire spatial domain is a long-standing aspiration in metasurface research, driven by its potential to enhance signal coverage and channel capacity. However, most existing full-space metasurfaces are restricted to manipulating incidence within one specific half-space, failing to exploit the EM potential across the entire space. This paper introduces a novel bidirectional transmission-reflection-integrated metasurface (BTRIM) for simultaneous and independent control of full-space incident waves. By dynamically adjusting diode states, the BTRIM can switch among simultaneous and independent forward/backward reflection, forward transmission-reflection (TR), and backward TR functions, each with an independent 1-bit phase response. The core innovation lies in integrating transmission and reflection within a single structure, enabling the metasurface to function at the same frequency and polarization within a compact design. Simulations and experimental validation are conducted to demonstrate BTRIM's ability to implement various wave functions and enhance signal intensity for users in both indoor and outdoor environments. The agreement between simulation and experimental results validates the BTRIM's capacity to simultaneously and independently regulate EM waves from all spatial directions, offering new insights into full-space wave manipulation. This breakthrough creates opportunities for applications in EM sensing, channel enhancement, and next-generation communication systems.
Keyword ：
bidirectional programmable metasurface bidirectional programmable metasurface independent and simultaneous control independent and simultaneous control transmission-reflection-integrated transmission-reflection-integrated
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| GB/T 7714 | Yang, Jun , Li, Yin , Wu, Jun Wei et al. Transmission-Reflection-Integrated Programmable Metasurface for Simultaneous and Independent Control of Bidirectional Incident Waves [J]. | ADVANCED FUNCTIONAL MATERIALS , 2025 , 35 (20) . |
| MLA | Yang, Jun et al. "Transmission-Reflection-Integrated Programmable Metasurface for Simultaneous and Independent Control of Bidirectional Incident Waves" . | ADVANCED FUNCTIONAL MATERIALS 35 . 20 (2025) . |
| APA | Yang, Jun , Li, Yin , Wu, Jun Wei , Dai, Jun Yan , Wang, Si Ran , Li, Hui Dong et al. Transmission-Reflection-Integrated Programmable Metasurface for Simultaneous and Independent Control of Bidirectional Incident Waves . | ADVANCED FUNCTIONAL MATERIALS , 2025 , 35 (20) . |
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To break through the topological restriction imposed by conventional reflecting/transmitting-only reconfigurable intelligent surface (RIS) in covert communication systems, a simultaneously transmitting and reflecting RIS (STAR-RIS) is adopted in this paper. A transmitter Alice communicates with both users Willie and Bob, where Bob is the covert receiver. Moreover, Willie also plays a warden seeking to detect the covert transmission since it forbids Alice from illegally using the communication resources like energy and bandwidth allocated for them. To obtain the maximum covert rate, we first design the transmission schemes for Alice in the case of sending and not sending covert information and further derive the necessary conditions for Alice to perform covert communication. We also deduce Willie's detection error probability, the minimum value of which obtained as well in terms of an optimal detection threshold. Furthermore, through the design of Alice's transmit power for covert transmission together with transmission and reflection beamforming at STAR-RIS, we achieve the maximum effective covert rate. Our numerical results show the correctness of the proposed theorems and indicate that utilizing STAR-RIS to enhance covert communication is feasible and effective.
Keyword ：
Covert communication Covert communication Noise uncertainty Noise uncertainty Reconfigurable intelligent surface Reconfigurable intelligent surface Transmission scheme Transmission scheme
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| GB/T 7714 | Hu, Jinsong , Cheng, Beixi , Chen, Youjia et al. Simultaneously transmitting and reflecting (STAR) RIS enhanced covert transmission with noise uncertainty [J]. | SIGNAL PROCESSING , 2025 , 232 . |
| MLA | Hu, Jinsong et al. "Simultaneously transmitting and reflecting (STAR) RIS enhanced covert transmission with noise uncertainty" . | SIGNAL PROCESSING 232 (2025) . |
| APA | Hu, Jinsong , Cheng, Beixi , Chen, Youjia , Wang, Jun , Shu, Feng , Chen, Zhizhang . Simultaneously transmitting and reflecting (STAR) RIS enhanced covert transmission with noise uncertainty . | SIGNAL PROCESSING , 2025 , 232 . |
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Inter-cell interference poses a significant challenge to the performance and reliability of cellular networks due to the complex spatial and temporal relationships between network nodes. Addressing this issue requires accurate prediction and assessment of interference. This paper presents a novel solution leveraging the strengths of a weighted graph convolutional network (WGCN) combined with graph coloring techniques. Specifically, we propose a WGCN-based interference estimation model to accurately derive the real-time inter-cell interference. Then, a graph multi-coloring problem is considered for the interference coordination. To address the color collision between cells and the color (i.e. spectrum resources) requirement of individual cells in the graph coloring problem, we propose a WGCN-assisted graph multi-coloring (WGCN-GMC) algorithm to allocate spectrum resources rationally. Simulation results demonstrate that our approach significantly enhances interference coordination, and achieves an impressive average improvement of 58.2 % compared to the traditional GMC algorithm leading to improved overall network performance. © 2025 IEEE.
Keyword ：
Ad hoc networks Ad hoc networks Bayesian networks Bayesian networks Graph algorithms Graph algorithms Network theory (graphs) Network theory (graphs) Wireless sensor networks Wireless sensor networks
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| GB/T 7714 | Wang, Xidian , Guo, Boyang , Liang, Hong et al. Interference Coordination Leveraging Weighted Graph Convolutional Network [C] . 2025 . |
| MLA | Wang, Xidian et al. "Interference Coordination Leveraging Weighted Graph Convolutional Network" . (2025) . |
| APA | Wang, Xidian , Guo, Boyang , Liang, Hong , Jia, Zihan , Chen, Youjia . Interference Coordination Leveraging Weighted Graph Convolutional Network . (2025) . |
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Mobile edge caching (MEC) has grown substantially with the rapid development in scale and complexity of data traffic. By exploiting the expansive coverage of autonomous aerial vehicles (AAVs), MEC enables services for massive vehicle users (VUs) simultaneously, which is promising for enhancing network transmission efficiency. Nonetheless, due to challenges arising from the timeliness and freshness of content services caused by AAVs' limited endurance and airborne capacity, caching strategy considering the real-time of content in large-scale dynamic Internet of Vehicles (IoV) environments remains open. With the above consideration, in this article, the cache refreshing cycle and content placement are jointly optimized in the cache-enabled AAV-assisted vehicular integrated networks (CAVINs) to minimize the content Age of Information (AoI) and energy consumption of the macro AAV. Since the joint optimization problem is variational coupled with nonconvex binary constraints, it is decoupled and solved by a double-iteration method. Specifically, the optimal cache refreshing cycle is derived in semi-closed form with the Karush-Kuhn-Tucker (KKT) conditions. The locally optimal solution of the content placement is obtained through successive convex approximation (SCA). Simulation results corroborate the effectiveness and superiority of the proposed scheme.
Keyword ：
Age of Information (AoI) Age of Information (AoI) Autonomous aerial vehicles Autonomous aerial vehicles Complexity theory Complexity theory Energy consumption Energy consumption Energy efficiency Energy efficiency Information age Information age Internet of Vehicles Internet of Vehicles Internet of Vehicles (IoV) Internet of Vehicles (IoV) mobile edge caching (MEC) mobile edge caching (MEC) Optimization Optimization Real-time systems Real-time systems Simulation Simulation unmanned aerial vehicles (AAVs)-assisted networks unmanned aerial vehicles (AAVs)-assisted networks Vehicle dynamics Vehicle dynamics
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| GB/T 7714 | Xiao, Yang , Lin, Zhijian , Cao, Xiaoxiao et al. AoI Energy-Efficient Edge Caching in AAV-Assisted Vehicular Networks [J]. | IEEE INTERNET OF THINGS JOURNAL , 2025 , 12 (6) : 6764-6774 . |
| MLA | Xiao, Yang et al. "AoI Energy-Efficient Edge Caching in AAV-Assisted Vehicular Networks" . | IEEE INTERNET OF THINGS JOURNAL 12 . 6 (2025) : 6764-6774 . |
| APA | Xiao, Yang , Lin, Zhijian , Cao, Xiaoxiao , Chen, Youjia , Lu, Xiaoqiang . AoI Energy-Efficient Edge Caching in AAV-Assisted Vehicular Networks . | IEEE INTERNET OF THINGS JOURNAL , 2025 , 12 (6) , 6764-6774 . |
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针对反向散射系统中的隐蔽通信问题,提出一种基于频谱共享的反向散射隐蔽通信方案.在该方案中,次发射机(secondary transmitter,ST)将隐蔽信息调制到主发射机(primary transmitter,PT)的信号上,并通过反向散射以实现隐蔽传输.首先,给出了ST复反射系数的表达式.其次,推导出监测者(Willie)二元假设检验的最优检测阈值以及对应的最小检测错误概率.考虑瑞利衰落信道,对 ST 的隐蔽传输性能进行了分析,得到有效隐蔽传输速率(effective covert rate,ECR)表达式.然后,给出隐蔽传输过程中的误码率表达式.最后,在满足约束条件的前提下,通过联合优化PT的发射功率以及ST的复反射系数以最大化ECR.实验结果表明,利用瑞利衰落信道的信道不确定性,可以在该反向散射系统中实现隐蔽传输.在隐蔽传输过程中,Willie 的最小检测错误概率仅与 ST 的复反射系数相关.此外,所提出的优化方案能够有效提升该系统的隐蔽通信性能.
Keyword ：
二元假设检验 二元假设检验 反向散射通信 反向散射通信 隐蔽通信 隐蔽通信 频谱共享 频谱共享
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| GB/T 7714 | 胡锦松 , 罗龙发 , 李鸿炜 et al. 面向共享频谱的反向散射隐蔽通信设计与实验分析 [J]. | 实验技术与管理 , 2025 , 42 (6) : 112-118 . |
| MLA | 胡锦松 et al. "面向共享频谱的反向散射隐蔽通信设计与实验分析" . | 实验技术与管理 42 . 6 (2025) : 112-118 . |
| APA | 胡锦松 , 罗龙发 , 李鸿炜 , 陈由甲 , 郑海峰 . 面向共享频谱的反向散射隐蔽通信设计与实验分析 . | 实验技术与管理 , 2025 , 42 (6) , 112-118 . |
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Integrated Sensing and Communication (ISAC) Systems, which can support simultaneous information transmission and target detection, have been regarded as promising solutions for various emerging wireless network applications. In this work, a covert transmission system with the aid of the ISAC technique is proposed, where the radar intends to sense a target and send message to legitimate users covertly against the warden's surveillance with either perfect or imperfect channel state information (CSI) at the warden. We formulate a beamforming optimization problem for the dual-function signal used for sensing and communication to maximize the covert throughput, subject to a covertness constraint, a maximum transmit power constraint, and a radar detection constraint. We then determine the sufficient conditions under which the covert beamforming design problem can be solved by semidefinite relaxation (SDR). Numerical results show that the proposed covert ISAC system can guarantee covert transmission while ensuring a certain level of sensing performance, and there exists a performance trade-off between the considered radar detection and covert transmission.
Keyword ：
beamforming design beamforming design Covert communications Covert communications integrated sensing and communication (ISAC) integrated sensing and communication (ISAC)
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| GB/T 7714 | Hu, Jinsong , Lin, Qingzhuan , Yan, Shihao et al. Covert Transmission via Integrated Sensing and Communication Systems [J]. | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2024 , 73 (3) : 4441-4446 . |
| MLA | Hu, Jinsong et al. "Covert Transmission via Integrated Sensing and Communication Systems" . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 73 . 3 (2024) : 4441-4446 . |
| APA | Hu, Jinsong , Lin, Qingzhuan , Yan, Shihao , Zhou, Xiaobo , Chen, Youjia , Shu, Feng . Covert Transmission via Integrated Sensing and Communication Systems . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2024 , 73 (3) , 4441-4446 . |
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Federated learning (FL), as a privacy-enhancing distributed learning paradigm, has recently attracted much attention in wireless systems. By providing communication and computation services, the base station (BS) helps participants collaboratively train a shared model without transmitting raw data. Concurrently, with the advent of integrated sensing and communication (ISAC) and the growing demand for sensing services, it is envisioned that BS will simultaneously serve sensing services, as well as communication and computation services, e.g., FL, in future 6G wireless networks. To this end, we provide a novel integrated sensing, communication and computation (ISCC) system, called Fed-ISCC, where BS conducts sensing and FL in the same time-frequency resource, and the over-the-air computation (AirComp) is adopted to enable fast model aggregation. To mitigate the interference between sensing and FL during uplink transmission, we propose a receive beamforming approach. Subsequently, we analyze the convergence of FL in the Fed-ISCC system, which reveals that the convergence of FL is hindered by device selection error and transmission error caused by sensing interference, channel fading and receiver noise. Based on this analysis, we formulate an optimization problem that considers the optimization of transceiver beamforming vectors and device selection strategy, with the goal of minimizing transmission and device selection errors while ensuring the sensing requirement. To address this problem, we propose a joint optimization algorithm that decouples it into two main problems and then solves them iteratively. Simulation results demonstrate that our proposed algorithm is superior to other comparison schemes and nearly attains the performance of ideal FL.
Keyword ：
6G 6G Atmospheric modeling Atmospheric modeling Computational modeling Computational modeling Downlink Downlink federated learning (FL) federated learning (FL) integrated sensing and communication (ISAC) integrated sensing and communication (ISAC) Optimization Optimization over-the-air computation (AirComp) over-the-air computation (AirComp) Radar Radar Task analysis Task analysis Uplink Uplink
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| GB/T 7714 | Du, Mengxuan , Zheng, Haifeng , Gao, Min et al. Integrated Sensing, Communication, and Computation for Over-the-Air Federated Learning in 6G Wireless Networks [J]. | IEEE INTERNET OF THINGS JOURNAL , 2024 , 11 (21) : 35551-35567 . |
| MLA | Du, Mengxuan et al. "Integrated Sensing, Communication, and Computation for Over-the-Air Federated Learning in 6G Wireless Networks" . | IEEE INTERNET OF THINGS JOURNAL 11 . 21 (2024) : 35551-35567 . |
| APA | Du, Mengxuan , Zheng, Haifeng , Gao, Min , Feng, Xinxin , Hu, Jinsong , Chen, Youjia . Integrated Sensing, Communication, and Computation for Over-the-Air Federated Learning in 6G Wireless Networks . | IEEE INTERNET OF THINGS JOURNAL , 2024 , 11 (21) , 35551-35567 . |
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In the realm of 6G wireless networks, virtual reality (VR) 360-degree videos stand out as a pivotal application. Researches on the users' quality of experience (QoE) for VR 360-degree videos mainly focus on video coding and transmission schemes, with a limited investigation into the impacts of wireless channels. To fill this gap, this paper emulates VR 360-degree video transmission on three kinds of wireless channels: additive Gaussian white noise (AWGN), Rayleigh fading, and Rician fading channels. The performance metrics for the wireless physical layer including signal-to-noise ratio (SNR), end-to-end delay, and bit error rate are investigated for their impacts on the performance metrics of video transmission, including video bitrate, stalling time, and start-up delay. Finally, a comprehensive QoE score is derived based on measured application-layer quality. Furthermore, we fit the functions: i) a log-scaling law of QoE vs. bandwidth, and ii) a Sigmoid function-scaling law for QoE vs. SNR. The results shed light on guiding physical layer network optimization aimed at improving the subjective QoE of VR videos.
Keyword ：
VR video QoE VR video QoE Wireless link performance Wireless link performance
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| GB/T 7714 | Sun, Shengying , Chen, Youjia , Guo, Boyang et al. Mapping Wireless Link Performance to 360-Degree VR QoE [J]. | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC , 2024 . |
| MLA | Sun, Shengying et al. "Mapping Wireless Link Performance to 360-Degree VR QoE" . | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC (2024) . |
| APA | Sun, Shengying , Chen, Youjia , Guo, Boyang , Ye, Yuchuan , Hu, Jinsong , Zheng, Haifeng . Mapping Wireless Link Performance to 360-Degree VR QoE . | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC , 2024 . |
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Given the popularity of flawless telepresence and the resultants explosive growth of wireless video applications, besides handling the traffic surge, satisfying the demanding user requirements for video qualities has become another important goal of network operators. Inspired by this, cooperative edge caching intrinsically amalgamated with scalable video coding is investigated. Explicitly, the concept of a Pareto-optimal semi-distributed multiagent multipolicy deep reinforcement learning (SD-MAMP-DRL) algorithm is conceived for managing the cooperation of heterogeneous network nodes. To elaborate, a multipolicy reinforcement learning algorithm is proposed for finding the Pareto-optimal policies during the training phase, which balances the teletraffic versus the user experience tradeoff. Then the optimal policy/solution can be activated during the execution phase by appropriately selecting the associated weighting coefficient according to the dynamically fluctuating network traffic load. Our experimental results show that the proposed SD-MAMP- acrshort DRL algorithm: 1) achieves better performance than the benchmark algorithms and 2) obtains a near-complete Pareto front in various scenarios and selects the optimal solution by adaptively adjusting the above-mentioned pair of objectives.
Keyword ：
Cooperative caching Cooperative caching Costs Costs Edge caching Edge caching multiagent reinforcement learning (MARL) multiagent reinforcement learning (MARL) multiobjective optimization multiobjective optimization Pareto front Pareto front Quality of experience Quality of experience Reinforcement learning Reinforcement learning scalable video coding (SVC) scalable video coding (SVC) Servers Servers Training Training Wireless communication Wireless communication
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| GB/T 7714 | Guo, Boyang , Chen, Youjia , Cheng, Peng et al. Pareto-Optimal Multiagent Cooperative Caching Relying on Multipolicy Reinforcement Learning [J]. | IEEE INTERNET OF THINGS JOURNAL , 2024 , 11 (5) : 7904-7917 . |
| MLA | Guo, Boyang et al. "Pareto-Optimal Multiagent Cooperative Caching Relying on Multipolicy Reinforcement Learning" . | IEEE INTERNET OF THINGS JOURNAL 11 . 5 (2024) : 7904-7917 . |
| APA | Guo, Boyang , Chen, Youjia , Cheng, Peng , Ding, Ming , Hu, Jinsong , Hanzo, Lajos . Pareto-Optimal Multiagent Cooperative Caching Relying on Multipolicy Reinforcement Learning . | IEEE INTERNET OF THINGS JOURNAL , 2024 , 11 (5) , 7904-7917 . |
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