Pub Date : 2025-12-17DOI: 10.1109/TWC.2025.3635928
{"title":"IEEE Transactions on Wireless Communications Society Information","authors":"","doi":"10.1109/TWC.2025.3635928","DOIUrl":"10.1109/TWC.2025.3635928","url":null,"abstract":"","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"C3-C3"},"PeriodicalIF":10.7,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11302899","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145770862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1109/twc.2025.3642149
Alva Kosasih, Özlem Tuğfe Demir, Emil Björnson
{"title":"Near-Field Beamfocusing, Localization, and Channel Estimation With Modular Linear Arrays","authors":"Alva Kosasih, Özlem Tuğfe Demir, Emil Björnson","doi":"10.1109/twc.2025.3642149","DOIUrl":"https://doi.org/10.1109/twc.2025.3642149","url":null,"abstract":"","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"44 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145771138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1109/TWC.2025.3641947
Hui Li;Kun Zhu;Tianxu Li;Heng Zhu;Jingfeng Zhang
Large-Scale multi-UAV systems have significant advantages in enhancing the coverage and reliability of communication networks due to their flexible deployment capabilities. However, existing strategies in UAV-assisted communications primarily optimize bit-level throughput and energy efficiency, making it difficult to ensure effective information transmission under low SINR or complex channel conditions. To address issue, we introduce a new paradigm by incorporating semantic communication into UAV networks, and formulate the 3D UAV-BSs deployment problem with the goal of enhancing semantic fidelity. Furthermore, to tackle the challenges of large-scale multi-agent collaborative decision-making, this paper proposes a novel method which improves the traditional mean-field multi-agent deep deterministic policy gradient (MF-MADDPG), by combining with kernel density estimation (KDE) to model the neighborhood action distribution, enhancing the stability of the policy in continuous action spaces. A semantic-aware reward function is designed based on a representative metric of semantic fidelity, which guides the UAVs toward regions of higher semantic significance. Simulation results show that the proposed method outperforms existing strategies in terms of semantic transmission quality and training stability, demonstrating its application potential in large-scale semantic communication environments.
{"title":"3D Deployment of UAV-BSs in Semantic Communication Networks: Mean-Field Multi-Agent Reinforcement Learning Approach","authors":"Hui Li;Kun Zhu;Tianxu Li;Heng Zhu;Jingfeng Zhang","doi":"10.1109/TWC.2025.3641947","DOIUrl":"10.1109/TWC.2025.3641947","url":null,"abstract":"Large-Scale multi-UAV systems have significant advantages in enhancing the coverage and reliability of communication networks due to their flexible deployment capabilities. However, existing strategies in UAV-assisted communications primarily optimize bit-level throughput and energy efficiency, making it difficult to ensure effective information transmission under low SINR or complex channel conditions. To address issue, we introduce a new paradigm by incorporating semantic communication into UAV networks, and formulate the 3D UAV-BSs deployment problem with the goal of enhancing semantic fidelity. Furthermore, to tackle the challenges of large-scale multi-agent collaborative decision-making, this paper proposes a novel method which improves the traditional mean-field multi-agent deep deterministic policy gradient (MF-MADDPG), by combining with kernel density estimation (KDE) to model the neighborhood action distribution, enhancing the stability of the policy in continuous action spaces. A semantic-aware reward function is designed based on a representative metric of semantic fidelity, which guides the UAVs toward regions of higher semantic significance. Simulation results show that the proposed method outperforms existing strategies in terms of semantic transmission quality and training stability, demonstrating its application potential in large-scale semantic communication environments.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"9844-9858"},"PeriodicalIF":10.7,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145770865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1109/twc.2025.3642209
Fuhai Wang, Tiebin Mi, Chun Wang, Rujing Xiong, Zhengyu Wang, Robert Caiming Qiu
{"title":"Source Localization and Power Estimation through RISs: Performance Analysis and Prototype Validations","authors":"Fuhai Wang, Tiebin Mi, Chun Wang, Rujing Xiong, Zhengyu Wang, Robert Caiming Qiu","doi":"10.1109/twc.2025.3642209","DOIUrl":"https://doi.org/10.1109/twc.2025.3642209","url":null,"abstract":"","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"9 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145770864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1109/twc.2025.3642542
Wentao Zhou, Yijie Mao, Di Zhang, Mérouane Debbah, Inkyu Lee
{"title":"Robust Precoding Designs of RSMA for Multiuser MIMO Systems","authors":"Wentao Zhou, Yijie Mao, Di Zhang, Mérouane Debbah, Inkyu Lee","doi":"10.1109/twc.2025.3642542","DOIUrl":"https://doi.org/10.1109/twc.2025.3642542","url":null,"abstract":"","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"153 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145771137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-15DOI: 10.1109/TWC.2025.3641394
Bowen Li;Junting Chen
Dynamic low altitude networks offer significant potential for efficient and reliable data transport via unmanned aerial vehicles (UAVs) relays which usually operate with predetermined trajectories. However, it is challenging to optimize the data routing and resource allocation due to the time-varying topology and the need to control interference with terrestrial systems. Traditional schemes rely on time-expanded graphs with uniform and fine time subdivisions, making them impractical for interference-aware applications. This paper develops a dynamic space-time graph model with a cross-layer optimization framework that converts a joint routing and predictive resource allocation problem into a joint bottleneck path planning and resource allocation problem. We develop explicit deterministic bounds to handle the channel uncertainty and prove a monotonicity property in the problem structure that enables us to efficiently reach the globally optimal solution to the predictive resource allocation subproblem. Then, this approach is extended to multi-commodity transmission tasks through time-frequency allocation, and a bisection search algorithm is developed to find the optimum solution by leveraging the monotonicity of the feasible set family. Simulations verify that the single commodity algorithm approaches global optimality with more than 30 dB performance gain over the classical graph-based methods for delay-sensitive and large data transportation. At the same time, the multi-commodity method achieves 100X improvements in dense service scenarios and enables an additional 20 dB performance gain by data segmenting.
{"title":"Radio Map-Assisted Routing and Predictive Resource Allocation Over Dynamic Low-Altitude Networks","authors":"Bowen Li;Junting Chen","doi":"10.1109/TWC.2025.3641394","DOIUrl":"10.1109/TWC.2025.3641394","url":null,"abstract":"Dynamic low altitude networks offer significant potential for efficient and reliable data transport via unmanned aerial vehicles (UAVs) relays which usually operate with predetermined trajectories. However, it is challenging to optimize the data routing and resource allocation due to the time-varying topology and the need to control interference with terrestrial systems. Traditional schemes rely on time-expanded graphs with uniform and fine time subdivisions, making them impractical for interference-aware applications. This paper develops a dynamic space-time graph model with a cross-layer optimization framework that converts a joint routing and predictive resource allocation problem into a joint bottleneck path planning and resource allocation problem. We develop explicit deterministic bounds to handle the channel uncertainty and prove a monotonicity property in the problem structure that enables us to efficiently reach the globally optimal solution to the predictive resource allocation subproblem. Then, this approach is extended to multi-commodity transmission tasks through time-frequency allocation, and a bisection search algorithm is developed to find the optimum solution by leveraging the monotonicity of the feasible set family. Simulations verify that the single commodity algorithm approaches global optimality with more than 30 dB performance gain over the classical graph-based methods for delay-sensitive and large data transportation. At the same time, the multi-commodity method achieves 100X improvements in dense service scenarios and enables an additional 20 dB performance gain by data segmenting.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"9955-9970"},"PeriodicalIF":10.7,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145759613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：