Abstract
Cell-free massive MIMO is a promising technology for beyond-5G networks. Through the deployment of many cooperating access points (AP), the technology can significantly enhance user coverage and spectral efficiency compared to traditional cellular systems. Since the APs are distributed over a large area, the level of favorable propagation in cell-free massive MIMO is less than the one in colocated massive MIMO. As a result, the current linear processing schemes are not close to the optimal ones when the number of AP antennas is not very large. The aim of this paper is to develop nonlinear variational Bayes (VB) methods for data detection in cell-free massive MIMO systems. Contrary to existing work in the literature, which only attained point estimates of the transmit data symbols, the proposed methods aim to obtain the posterior distribution and the Bayes estimate of the data symbols. We develop the VB methods accordingly to the levels of cooperation among the APs. Simulation results show significant performance advantages of the developed VB methods over the linear processing techniques.
Original language | English |
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Title of host publication | 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022: Proceedings |
Editors | Michael B. Matthews |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 727-732 |
Number of pages | 6 |
ISBN (Electronic) | 9781665459068 |
DOIs | |
Publication status | Published - 07 Mar 2023 |
Event | 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022 - Virtual, Online, United States Duration: 31 Oct 2022 → 02 Nov 2022 |
Publication series
Name | Conference Record - Asilomar Conference on Signals, Systems and Computers |
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Volume | 2022-October |
ISSN (Print) | 1058-6393 |
ISSN (Electronic) | 2576-2303 |
Conference
Conference | 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 31/10/2022 → 02/11/2022 |
Bibliographical note
Funding Information:This work was supported by the U.S. National Science Foundation under Grants ECCS-2146436 and CCF-2225576.
Publisher Copyright:
© 2022 IEEE.
Keywords
- Cell-free
- inference
- massive MIMO
- variational Bayes
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications