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Electrical Engineering and Systems Science > Signal Processing
Title: Low-Complexity Linear Decoupling of Users for Uplink Massive MU-MIMO Detection
(Submitted on 5 Mar 2024 (this version), latest version 26 Mar 2024 (v2))
Abstract: Multi-user massive MIMO is a promising candidate for future wireless communication systems. It enables users with different requirements to be connected to the same base station (BS) on the same set of resources. In uplink massive MU-MIMO, while users with different requirements are served, decoupled signal detection helps in using a user-specific detection scheme for every user. In this paper, we propose a low-complexity linear decoupling scheme called Sequential Decoupler (SD), which aids in the parallel detection of each user's data streams. The proposed algorithm shows significant complexity reduction, particularly when the number of users in the system increases. In the numerical simulations, it has been observed that the complexity of the proposed scheme is only 0.15% of the conventional Singular Value Decomposition (SVD) based decoupling and 47% to the pseudo-inverse based decoupling schemes when 80 users with two antennas each are served by the BS.
Submission history
From: Gokularam Muthukrishnan [view email][v1] Tue, 5 Mar 2024 19:11:24 GMT (156kb)
[v2] Tue, 26 Mar 2024 22:54:27 GMT (175kb)
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