Overloaded Multi-User MIMO With Receive Spatial Filters

This paper proposes overloaded multiuser multiple-input-multiple-output (MU-MIMO) that is able to increase network throughput by increasing the number of the signal streams to more than that of receive antennas. The spatial filter is employed at each user for such spatial multiplexing. In addition, the proposed overloaded MU-MIMO applies the non-linear precoding with the lattice reduction for improving the transmission performance with low computational complexity. The use of the non-linear precoding can simplify the receiver configuration where amplifiers and the spatial filters are only needed. Computer simulation shows that the proposed overloaded MU-MIMO can double not only the user throughput but also the network throughput compared with the conventional MU-MIMO based on the block diagonalization (BD). In spite of the superior throughput enhancement, the proposed overloaded MU-MIMO achieves 13 dB better transmission performance than the conventional MUMIMO at the BER of $10^{-4}$.

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Published
2024-11-05
DOI
https://doi.org/10.1109/apcc62576.2024.10768081
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Overloaded Multi-User MIMO With Receive Spatial Filters

Satoshi Denno, Kosuke Ota, Yafei Hou
Advanced MIMO Systems Optimization
article

Overloaded Multi-User MIMO With Receive Spatial Filters

Satoshi Denno, Kosuke Ota, Yafei Hou
article en

Abstract

This paper proposes overloaded multiuser multiple-input-multiple-output (MU-MIMO) that is able to increase network throughput by increasing the number of the signal streams to more than that of receive antennas. The spatial filter is employed at each user for such spatial multiplexing. In addition, the proposed overloaded MU-MIMO applies the non-linear precoding with the lattice reduction for improving the transmission performance with low computational complexity. The use of the non-linear precoding can simplify the receiver configuration where amplifiers and the spatial filters are only needed. Computer simulation shows that the proposed overloaded MU-MIMO can double not only the user throughput but also the network throughput compared with the conventional MU-MIMO based on the block diagonalization (BD). In spite of the superior throughput enhancement, the proposed overloaded MU-MIMO achieves 13 dB better transmission performance than the conventional MUMIMO at the BER of $10^{-4}$.

Okayama University (JP)
Affordable and clean energy
Openalex Percentile: Top 81%
Advanced MIMO Systems Optimization
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Overloaded Multi-User MIMO With Receive Spatial Filters — Satoshi Denno, Kosuke Ota, et al. · (2024) | TGRS Research Map | TGRS