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IEEE Journal of Selected Topics in Signal Processing最新文献

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IEEE Signal Processing Society Information IEEE信号处理学会信息
IF 8.7 1区 工程技术
IEEE Journal of Selected Topics in Signal Processing Pub Date : 2025-01-22 DOI: 10.1109/JSTSP.2025.3527892
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引用次数: 0
IEEE Signal Processing Society Information IEEE信号处理学会信息
IF 8.7 1区 工程技术
IEEE Journal of Selected Topics in Signal Processing Pub Date : 2025-01-22 DOI: 10.1109/JSTSP.2025.3527894
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引用次数: 0
Editorial Introduction for the Special Issue on Intelligent Signal Processing and Learning for Next Generation Multiple Access 《下一代多址智能信号处理与学习》特刊编辑导言
IF 8.7 1区 工程技术
IEEE Journal of Selected Topics in Signal Processing Pub Date : 2025-01-22 DOI: 10.1109/JSTSP.2024.3522636
Wei Chen;Yuanwei Liu;Hamid Jafarkhani;Yonina Eldar;Peiying Zhu;Khaled B. Letaief
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引用次数: 0
Distributed Massive MIMO With Low Resolution ADCs for Massive Random Access 基于低分辨率adc的大规模随机接入分布式大规模MIMO
IF 8.7 1区 工程技术
IEEE Journal of Selected Topics in Signal Processing Pub Date : 2025-01-10 DOI: 10.1109/JSTSP.2024.3516382
Yuhui Song;Zijun Gong;Yuanzhu Chen;Cheng Li
{"title":"Distributed Massive MIMO With Low Resolution ADCs for Massive Random Access","authors":"Yuhui Song;Zijun Gong;Yuanzhu Chen;Cheng Li","doi":"10.1109/JSTSP.2024.3516382","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3516382","url":null,"abstract":"Massive machine-type communications (mMTC), an essential fifth-generation (5G) usage scenario, aims to provide services for a large number of users that intermittently transmit small data packets in smart cities, manufacturing, and agriculture. Massive random access (MRA) emerges as a promising candidate for multiple access in mMTC characterized by the sporadic data traffic. Despite the use of massive multiple-input multiple-output (mMIMO) in MRA to achieve spatial division multiple access and mitigate small-scale fading, existing research endeavors overlook the near-far effect of large-scale fading by assuming perfect power control. In this paper, we present a cost-efficient, effective, and fully distributed solution for MRA to combat large-scale fading, wherein distributed access points (APs) cooperatively detect and serve active users. Each AP is equipped with low resolution analog-to-digital converters (ADCs) for energy-efficient system implementation. Specifically, we derive a rigorous closed-form expression for the uplink achievable rate, considering the impact of non-orthogonal pilots and low resolution ADCs. We also propose a scalable distributed algorithm for user activity detection under flat fading channels, and further adapt it to handle frequency-selective fading in popular orthogonal frequency division multiplexing (OFDM) systems. The proposed solution is fully distributed, since most processing tasks, such as activity detection, channel estimation, and data detection, are localized at each AP. Simulation results demonstrate the significant advantage of distributed systems over co-located systems in accommodating more users while achieving higher activity detection accuracy, and quantify performance loss resulting from the use of low resolution ADCs.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 7","pages":"1381-1395"},"PeriodicalIF":8.7,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Signal Processing Society Information IEEE信号处理学会信息
IF 8.7 1区 工程技术
IEEE Journal of Selected Topics in Signal Processing Pub Date : 2025-01-07 DOI: 10.1109/JSTSP.2024.3511064
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引用次数: 0
IEEE Signal Processing Society Information IEEE信号处理学会信息
IF 8.7 1区 工程技术
IEEE Journal of Selected Topics in Signal Processing Pub Date : 2025-01-07 DOI: 10.1109/JSTSP.2024.3511060
{"title":"IEEE Signal Processing Society Information","authors":"","doi":"10.1109/JSTSP.2024.3511060","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3511060","url":null,"abstract":"","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 5","pages":"C3-C3"},"PeriodicalIF":8.7,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10832440","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Editorial Introduction to the Special Issue on Learning-Based Signal Processing for Integrated Sensing and Communications 基于学习的集成传感与通信信号处理特刊编辑导言
IF 8.7 1区 工程技术
IEEE Journal of Selected Topics in Signal Processing Pub Date : 2025-01-07 DOI: 10.1109/JSTSP.2024.3522437
Kumar Vijay Mishra;M. R. Bhavani Shankar;Nuria González-Prelcic;Mikko Valkama;Wei Yu;Björn Ottersten
{"title":"Editorial Introduction to the Special Issue on Learning-Based Signal Processing for Integrated Sensing and Communications","authors":"Kumar Vijay Mishra;M. R. Bhavani Shankar;Nuria González-Prelcic;Mikko Valkama;Wei Yu;Björn Ottersten","doi":"10.1109/JSTSP.2024.3522437","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3522437","url":null,"abstract":"Signal processing techniques have played a pivotal role in the early development of joint sensing and communication systems [1]. These efforts were driven by the need to address spectrum scarcity and to reduce hardware size and cost. Initially focused on dual-function radar-communication systems, this field has since evolved into the broader paradigm of Integrated Sensing and Communication (ISAC). ISAC encompasses a wide range of interactions between sensing and communication, incorporating not just radar but also other sensors, and leveraging their capabilities for applications such as autonomous driving, drone-based services, radio-frequency identification, and weather monitoring. With wireless networks now operating at higher frequencies, their dual role as communication networks and environmental sensors has become increasingly significant, providing critical information for both user needs and network operations [2].","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 5","pages":"731-736"},"PeriodicalIF":8.7,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10832414","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Federated Reinforcement Learning for Resource Allocation in V2X Networks V2X网络中资源分配的联邦强化学习
IF 8.7 1区 工程技术
IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-12-17 DOI: 10.1109/JSTSP.2024.3513692
Kaidi Xu;Shenglong Zhou;Geoffrey Ye Li
{"title":"Federated Reinforcement Learning for Resource Allocation in V2X Networks","authors":"Kaidi Xu;Shenglong Zhou;Geoffrey Ye Li","doi":"10.1109/JSTSP.2024.3513692","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3513692","url":null,"abstract":"Resource allocation significantly impacts the performance of vehicle-to-everything (V2X) networks in next generation multiple access (NGMA). Most existing algorithms for resource allocation are based on optimization or machine learning (e.g., reinforcement learning). In this paper, we explore resource allocation in a NGMA V2X network under the framework of federated reinforcement learning (FRL). On one hand, the usage of RL overcomes many challenges from the model-based optimization schemes. On the other hand, federated learning (FL) enables agents to deal with a number of practical issues, such as privacy, communication overhead, distributed learning, and exploration efficiency. The framework of FRL is then implemented by the inexact alternative direction method of multipliers (ADMM), where subproblems are solved approximately using policy gradients and accelerated by an adaptive step size calculated from their second moments. The developed algorithm, PASM, is proven to be convergent under mild conditions and has a nice numerical performance compared with some baseline methods for solving the resource allocation problems in a NGMA V2X network.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 7","pages":"1210-1221"},"PeriodicalIF":8.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Signal Processing and Learning for Next Generation Multiple Access in 6G 下一代6G多址的信号处理与学习
IF 8.7 1区 工程技术
IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-12-09 DOI: 10.1109/JSTSP.2024.3511403
Wei Chen;Yuanwei Liu;Hamid Jafarkhani;Yonina C. Eldar;Peiying Zhu;Khaled B. Letaief
{"title":"Signal Processing and Learning for Next Generation Multiple Access in 6G","authors":"Wei Chen;Yuanwei Liu;Hamid Jafarkhani;Yonina C. Eldar;Peiying Zhu;Khaled B. Letaief","doi":"10.1109/JSTSP.2024.3511403","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3511403","url":null,"abstract":"Wireless communication systems to date primarily rely on the orthogonality of resources to facilitate the design and implementation, from user access to data transmission. Emerging applications and scenarios in the sixth generation (6G) wireless systems will require massive connectivity and transmission of a deluge of data, which calls for more flexibility in the design concept that goes beyond orthogonality. Furthermore, recent advances in signal processing and learning, e.g., deep learning, provide promising approaches to deal with complex and previously intractable problems. This article provides an overview of research efforts to date in the field of signal processing and learning for next-generation multiple access, with an emphasis on massive random access and non-orthogonal multiple access. The promising interplay with new technologies and the challenges in learning-based NGMA are discussed.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 7","pages":"1146-1177"},"PeriodicalIF":8.7,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Signal Processing Society Information 电气和电子工程师学会信号处理学会信息
IF 8.7 1区 工程技术
IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-11-05 DOI: 10.1109/JSTSP.2024.3459324
{"title":"IEEE Signal Processing Society Information","authors":"","doi":"10.1109/JSTSP.2024.3459324","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3459324","url":null,"abstract":"","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 4","pages":"C2-C2"},"PeriodicalIF":8.7,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10744618","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","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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