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Unsourced Random Access: A Comprehensive Survey
DOI:10.1109/COMST.2025.3637685.png)
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
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IF:
0
论文数:
67
被引数:
0
机构
引用论文
Unsourced Random Access With Uncoupled Compressive Sensing and Forward Error Correction具有非耦合压缩感知和前向纠错的无来源随机访问
Energy Efficiency of Unsourced Random Access Over the Binary-Input Gaussian Channel二进制输入高斯信道上的无源随机访问的能效

