LMMSE Processing for Cell-free Massive MIMO with Radio Stripes and MRC Fronthaul
Cell-free massive multi-input multi-output (MIMO) provides ubiquitous connectivity for multiple users. Compared with co-located massive MIMO, the major cost includes fronthaul and access points (AP). This paper assumes an implementation using radio stripes. Maximum ratio combining (MRC) uses a low-l...
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Published in: | 2022 IEEE Wireless Communications and Networking Conference (WCNC) pp. 1336 - 1340 |
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Main Authors: | , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
10-04-2022
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Subjects: | |
Online Access: | Get full text |
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Summary: | Cell-free massive multi-input multi-output (MIMO) provides ubiquitous connectivity for multiple users. Compared with co-located massive MIMO, the major cost includes fronthaul and access points (AP). This paper assumes an implementation using radio stripes. Maximum ratio combining (MRC) uses a low-loading fronthaul and low-cost APs, but the performance is bad. To solve these problems, this paper first proposes an SVD-based method named quasi-LMMSE (Q-LMMSE). Q-LMMSE is derived from standard linear minimum- mean-square-error (LMMSE) using only the MRC frounthaul signals. Employing the simple MRC fronthaul design, a novel processing method is derived from standard linear minimum- mean-square-error (LMMSE). Simulation results show that the proposed Q-LMMSE gains a higher SE with low fronthaul loading, AP complexity, and latency than existing distributed schemes and performs even better than centralized LMMSE in some cases. |
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ISSN: | 1558-2612 |
DOI: | 10.1109/WCNC51071.2022.9771691 |