Efficient Richardson iteration of null-space expansion for multi-user massive MIMO in time-varying channel

Abstract This paper focuses on a low-complexity precoding weight suitable for multi-user massive multiple-input multiple-output (MU-mMIMO) in user equipments’ (UEs’) mobility environment. Null-space expansion (NSE) method achieves better inter-user interference (IUI) suppression performance than channel prediction schemes by steering several nulls for interfering UTs in the high mobility environment. However, NSE faces challenges in effectively managing the computation complexity of the weight design. In this work, we incorporate a Richardson iteration (RI) in zero-forcing (ZF)-based NSE method to reduce computation burden. Moreover, deep-unfolding (DU) is utilized to further accelerate the convergence of RI-based NSE method. Computer simulation demonstrates the superiority of the proposed scheme in terms of IUI suppression performance and computation complexity.

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Publication Details

Journal
Journal on Wireless Communications and Networking
Published
2026-04-02
DOI
https://doi.org/10.1186/s13638-026-02610-z
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Efficient Richardson iteration of null-space expansion for multi-user massive MIMO in time-varying channel

Sourav Chakraborty, Salah Berra, Jin Nakazato, Yuki Sasaki et al.
Journal on Wireless Communications and Networking
Advanced MIMO Systems Optimization
article

Efficient Richardson iteration of null-space expansion for multi-user massive MIMO in time-varying channel

Sourav Chakraborty, Salah Berra, Jin Nakazato, Yuki Sasaki, Rui Dinis, Kazuki Maruta
article en

Abstract

Abstract This paper focuses on a low-complexity precoding weight suitable for multi-user massive multiple-input multiple-output (MU-mMIMO) in user equipments’ (UEs’) mobility environment. Null-space expansion (NSE) method achieves better inter-user interference (IUI) suppression performance than channel prediction schemes by steering several nulls for interfering UTs in the high mobility environment. However, NSE faces challenges in effectively managing the computation complexity of the weight design. In this work, we incorporate a Richardson iteration (RI) in zero-forcing (ZF)-based NSE method to reduce computation burden. Moreover, deep-unfolding (DU) is utilized to further accelerate the convergence of RI-based NSE method. Computer simulation demonstrates the superiority of the proposed scheme in terms of IUI suppression performance and computation complexity.

Journal on Wireless Communications and Networking
Tokyo University of Science (JP), National Institute of Informatics (JP), Cooch Behar Panchanan Barma University (IN), Uninova (PT), Universidade Nova de Lisboa (PT)
Japan Society for the Promotion of Science, Japan Science and Technology Agency, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa
Openalex Percentile: Top 25%
Advanced MIMO Systems Optimization
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