Beamspace Selection in Multi-User Massive MIMO

doi:10.1109/ACCESS.2023.3247342

Beamspace Selection in Multi-User Massive MIMO

2023-01-01

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AI

DOI：10.1109/ACCESS.2023.3247342

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In this paper, we propose new Discrete Fourier Transform (DFT)-based beamspace selection algorithms for Massive Multiple Input, Multiple Output (MIMO) receiver operating in realistic multi-user (MU) scenarios. In practical uplink scenarios, there is a power ratio between signals received from different users that complicates performance analysis in MU cases. Our algorithms are inspired by a proportional fair approach to allocating spatial resources for target users. Thus, we analyze performance in terms of coverage (for low-power users) and capacity (for high-power users) and consider the implementation complexity to highlight feasible algorithms. Simulations with realistic non-line-of-sight scenarios generated by the QuaDRiGa 2.0 demonstrate our methods outperform other DFT-based alternatives, such as the beamspace selection based on the projection power maximization.

Keyword:

Massive MIMO

Channel estimation

5G mobile communication

Discrete Fourier transforms

Throughput

Direction-of-arrival estimation

Attenuation

5G

multi-user massive MIMO

beamspace selection

angular domain processing

Beamspace Selection in Multi-User Massive MIMO

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