Signal Processing and Learning for Next Generation Multiple Access in 6G

IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC 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
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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.
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下一代6G多址的信号处理与学习
迄今为止,无线通信系统主要依靠资源的正交性来方便设计和实现,从用户访问到数据传输。第六代(6G)无线系统中的新兴应用和场景将需要大规模连接和传输海量数据,这就要求在设计概念上具有超越正交性的更大灵活性。此外,信号处理和学习的最新进展,例如深度学习,为处理复杂和以前棘手的问题提供了有前途的方法。本文概述了迄今为止在下一代多址信号处理和学习领域的研究成果,重点介绍了大规模随机接入和非正交多址接入。讨论了基于学习的NGMA与新技术的相互作用以及面临的挑战。
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来源期刊
IEEE Journal of Selected Topics in Signal Processing
IEEE Journal of Selected Topics in Signal Processing 工程技术-工程:电子与电气
CiteScore
19.00
自引率
1.30%
发文量
135
审稿时长
3 months
期刊介绍: The IEEE Journal of Selected Topics in Signal Processing (JSTSP) focuses on the Field of Interest of the IEEE Signal Processing Society, which encompasses the theory and application of various signal processing techniques. These techniques include filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals using digital or analog devices. The term "signal" covers a wide range of data types, including audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and others. The journal format allows for in-depth exploration of signal processing topics, enabling the Society to cover both established and emerging areas. This includes interdisciplinary fields such as biomedical engineering and language processing, as well as areas not traditionally associated with engineering.
期刊最新文献
Table of Contents Front Cover IEEE Signal Processing Society Publication Information IEEE Signal Processing Society Information 2024 Index IEEE Journal of Selected Topics in Signal Processing Vol. 18
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