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IEEE Transactions on Green Communications and Networking
IF 5.3 2区 计算机科学
IEEE Transactions on Green Communications and Networking Pub Date : 2025-02-13 DOI: 10.1109/TGCN.2025.3539796
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引用次数: 0
IEEE Communications Society Information
IF 5.3 2区 计算机科学
IEEE Transactions on Green Communications and Networking Pub Date : 2025-02-13 DOI: 10.1109/TGCN.2025.3539798
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引用次数: 0
2024 Index IEEE Transactions on Green Communications and Networking Vol. 8 2024 Index IEEE Transactions on Green Communications and Networking Vol.
IF 5.3 2区 计算机科学
IEEE Transactions on Green Communications and Networking Pub Date : 2024-11-26 DOI: 10.1109/TGCN.2024.3506153
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引用次数: 0
Guest Editorial Special Issue on Rate-Splitting Multiple Access for Future Green Communication Networks 特邀编辑特刊：未来绿色通信网络的速率分割多重接入
IF 5.3 2区 计算机科学
IEEE Transactions on Green Communications and Networking Pub Date : 2024-11-19 DOI: 10.1109/TGCN.2024.3454935
Yijie Mao;Bruno Clerckx;Derrick Wing Kwan Ng;Wolfgang Utschick;Ying Cui;Timothy N. Davidson
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引用次数: 0
IEEE Transactions on Green Communications and Networking 电气和电子工程师学会绿色通信与网络论文集
IF 5.3 2区 计算机科学
IEEE Transactions on Green Communications and Networking Pub Date : 2024-11-19 DOI: 10.1109/TGCN.2024.3494575
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引用次数: 0
IEEE Communications Society Information IEEE 通信学会信息
IF 5.3 2区 计算机科学
IEEE Transactions on Green Communications and Networking Pub Date : 2024-11-19 DOI: 10.1109/TGCN.2024.3494577
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引用次数: 0
Green Differentially Private Coded Distributed Learning Over Near-Field MIMO Systems
IF 5.3 2区 计算机科学
IEEE Transactions on Green Communications and Networking Pub Date : 2024-11-12 DOI: 10.1109/TGCN.2024.3496556
Yilei Xue;Jun Wu;Jianhua Li;Shahid Mumtaz;Bolin Liao
{"title":"Green Differentially Private Coded Distributed Learning Over Near-Field MIMO Systems","authors":"Yilei Xue;Jun Wu;Jianhua Li;Shahid Mumtaz;Bolin Liao","doi":"10.1109/TGCN.2024.3496556","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3496556","url":null,"abstract":"In near-field systems, differentially private coded distributed learning can effectively alleviate straggler issues and ensure privacy. However, it consumes more energy and entails substantial time for transmission. To further enhance the energy and training efficiency of the system, in this paper, we propose GMCDL, a green multiple-input multiple-output coded distributed learning framework based on differential privacy for near-field systems. GMCDL introduces both artificial noise into Lagrange-coded datasets and natural noise throughout the transmission process to achieve privacy protection, while also employing multiple antennas for faster transmission. Consequently, it leads to increased energy efficiency and accelerated transmission speeds. Firstly, we analyze the achievable privacy protection levels across various parameter configurations and explore how adjustments in these parameters influence privacy protection performance. Then, we establish a theoretical upper bound for system convergence, revealing two significant findings: 1) there is a trade-off between convergence performance and privacy protection level, and 2) with other parameters remain fixed, higher constrained power, increased receive antennas, reduced transmit antennas, and a larger power allocation toward effective computing result yield enhanced convergence performance. Finally, we provide experimental results to demonstrate the impact of various parameters on the training process, which aligns with our theoretical analysis.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 1","pages":"417-427"},"PeriodicalIF":5.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Near-Field Extremely Large-Scale STAR-RIS Enabled Integrated Sensing and Communications
IF 5.3 2区 计算机科学
IEEE Transactions on Green Communications and Networking Pub Date : 2024-09-17 DOI: 10.1109/TGCN.2024.3462491
Jingxuan Zhou;Yinchao Yang;Zhaohui Yang;Mohammad Reza Shikh-Bahaei
{"title":"Near-Field Extremely Large-Scale STAR-RIS Enabled Integrated Sensing and Communications","authors":"Jingxuan Zhou;Yinchao Yang;Zhaohui Yang;Mohammad Reza Shikh-Bahaei","doi":"10.1109/TGCN.2024.3462491","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3462491","url":null,"abstract":"Extremely large-scale antenna arrays (ELAAs) are indispensable to meet the elevated key performance indicators (KPIs) for the sixth generation (6G) networks while leading to new challenges in the exploration of near-field system models. In response, we propose a near-field integrated sensing and communications (ISAC) system aided by an extremely large-scale simultaneously transmitting and reflecting reconfigurable intelligent surface (XL-STAR-RIS) and the fluid antenna (FA) in this paper. To precisely estimate the distance and angle of arrival (AoA) of the target while concurrently ensuring effective signal transmission to communication users, we formulate a joint minimization problem for Cramér-Rao bounds (CRBs) of the distance and AoA estimation mean square errors (MSEs). By optimizing the communication beamformer, the sensing signal covariance matrix, the XL-STAR-RIS phase shift, and the FA position vector, CRBs are minimized while ensuring desired communication performance. A double-loop iterative algorithm based on the penalty dual decomposition (PDD) and block coordinate descent (BCD) method is proposed to solve the non-convex problem by decomposing it into three subproblems and optimizing the coupling variables iteratively. Simulation results validate the superior performance of the proposed algorithm.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 1","pages":"404-416"},"PeriodicalIF":5.3,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Transactions on Green Communications and Networking 电气和电子工程师学会绿色通信与网络论文集
IF 5.3 2区 计算机科学
IEEE Transactions on Green Communications and Networking Pub Date : 2024-08-28 DOI: 10.1109/TGCN.2024.3443722
{"title":"IEEE Transactions on Green Communications and Networking","authors":"","doi":"10.1109/TGCN.2024.3443722","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3443722","url":null,"abstract":"","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 3","pages":"C2-C2"},"PeriodicalIF":5.3,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10654696","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
引用次数: 0
Guest Editorial Special Issue on Green Open Radio Access Networks: Architecture, Challenges, Opportunities, and Use Cases 客座编辑特刊：绿色开放式无线接入网络：架构、挑战、机遇和用例
IF 5.3 2区 计算机科学
IEEE Transactions on Green Communications and Networking Pub Date : 2024-08-28 DOI: 10.1109/TGCN.2024.3441148
Kapal Dev;Chih-Lin I;Raouf Boutaba;Sunder Ali Khowaja;Shao-Yu Lien;Yue Wang
{"title":"Guest Editorial Special Issue on Green Open Radio Access Networks: Architecture, Challenges, Opportunities, and Use Cases","authors":"Kapal Dev;Chih-Lin I;Raouf Boutaba;Sunder Ali Khowaja;Shao-Yu Lien;Yue Wang","doi":"10.1109/TGCN.2024.3441148","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3441148","url":null,"abstract":"","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 3","pages":"891-894"},"PeriodicalIF":5.3,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10654697","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
引用次数: 0
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