Error Rate Analysis for Grant-free Massive Random Access with Short-Packet Transmission

被引:1
作者
Bian, Xinyu [1 ]
Mao, Yuyi [2 ]
Zhang, Jun [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept ECE, Hong Kong, Peoples R China
[2] Hong Kong Polytech Univ, Dept EIE, Hong Kong, Peoples R China
来源
2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022) | 2022年
关键词
Grant-free massive random access; approximate message passing (AMP); short-packet transmission; block error rate (BLER); random matrix theory (RMT); pilot length optimization; CHANNEL ESTIMATION;
D O I
10.1109/GLOBECOM48099.2022.10001105
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Grant-free massive random access (RA) is a promising protocol to support the massive machine-type communications (mMTC) scenario in 5G and beyond networks. In this paper, we focus on the error rate analysis in grant-free massive RA, which is critical for practical deployment but has not been well studied. We consider a two-phase frame structure, with a pilot transmission phase for activity detection and channel estimation, followed by a data transmission phase with coded data symbols. Considering the characteristics of short-packet transmission, we analyze the block error rate (BLER) in the finite blocklength regime to characterize the data transmission performance. The analysis involves characterizing the activity detection and channel estimation errors as well as applying the random matrix theory (RMT) to analyze the distribution of the post-processing signal-to-noise ratio (SNR). As a case study, the derived BLER expression is further simplified to optimize the pilot length. Simulation results verify our analysis and demonstrate its effectiveness in pilot length optimization.
引用
收藏
页码:4752 / 4757
页数:6
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