Paper Info
Title
Massive Unsourced Random Access Over Rician Fading Channels: Design, Analysis, and Optimization
Abstract
In this article, we investigate an unsourced random access scheme for massive machine-type communications (mMTC) in the sixth-generation (6G) wireless networks with sporadic data traffic. First, we establish a general framework for massive unsourced random access based on a two-layer signal coding, i.e., an outer code and an inner code. In particular, considering Rician fading in the scenario of mMTC, we design a novel codeword activity detection algorithm for the inner code of unsourced random access based on the distribution of received signals by exploiting the maximum-likelihood (ML) method. Then, we analyze the performance of the proposed codeword activity detection algorithm exploiting Fisher Information Matrix, which facilitates the derivative of the approximated distribution of the estimation error of the codeword activity vector when the number of base station (BS) antennas is sufficiently large. Furthermore, for the outer code, we propose an optimization algorithm to allocate the lengths of message bits and parity check bits, so as to strike a balance between the error probability and the complexity required for outer decoding. Finally, extensive simulation results validate the effectiveness of the proposed detection algorithm and the optimized length allocation scheme compared with an existing detection algorithm and a fixed-length allocation scheme.
Year
DOI
Venue
2022
10.1109/JIOT.2022.3155670
IEEE Internet of Things Journal
Keywords
DocType
Volume
Grant-free,massive machine-type communications (mMTC),Rician fading channel,sixth-generation (6G),unsourced random access
Journal
9
Issue
Citations 
PageRank 
18
1
0.39
References 
Authors
15
4
Name
Order
Citations
PageRank
Feiyan Tian141.45
Xiaoming Chen210.39
Lei Liu310.39
Derrick Wing Kwan Ng43588189.08