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Unsourced Random Access: A Comprehensive Survey

delete2026-01-01
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PRE
AI
M
Mert Özateş
M
Mohammad Javad Ahmadi
M
Mohammad Kazemi
D
Denız Gündüz
T
Tolga M. Duman
DOI:10.1109/COMST.2025.3637685delete
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摘要

摘要

En 中文
Multiple access communication systems enable numerous users to share common communication resources, playing a crucial role in wireless networks. With the emergence of the sixth generation (6G) and beyond communication networks, supporting massive machine-type communications with sporadic activity patterns is expected to become a critical challenge. Unsourced random access (URA) has emerged as a promising paradigm to address this challenge by decoupling user identification from data transmission through the use of a common codebook. This survey offers a comprehensive overview of URA solutions, encompassing both theoretical foundations and practical applications. We present a systematic classification of URA solutions across three primary channel models: Gaussian multiple access channels (GMACs), single-antenna fading channels, and multiple-input multiple-output (MIMO) fading channels. For each category, we analyze and compare state-of-the-art solutions in terms of performance, complexity, and practical feasibility. Additionally, we discuss critical challenges such as interference management, computational complexity, and synchronization. The survey concludes with promising future research directions and potential methods to address existing limitations, providing a roadmap for researchers and practitioners in this rapidly evolving field.
Keyword:
Multiple access
random access techniques
grant-free
unsourced random access
machine-type communications
Internet of Things

期刊

I
ieee communications surveys & tutorials
IF:
0
论文数:
67
被引数:
0

机构

B
bilkent university
学者数:
198
论文数: 91
被引数: 0
Leibniz Institute for High Performance Microelectronics 封面图
Leibniz Institute for High Performance Microelectronics
学者数:
14
论文数: 5
被引数: 216
I
imperial college london
学者数:
9.9K
论文数: 4.4K
被引数: 0
T
technische universität dresden
学者数:
462
论文数: 155
被引数: 0
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引用论文

引用论文

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MASSIVE MACHINE-TYPE COMMUNICATIONS
err2017-11-01
err26
errOAAI
errDutkiewicz, Eryk; Costa-Perez, Xavier; Kovacs, Istvan Z.; Mueck, Markus
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