Min-Max Decoding Error Probability Oriented Beamforming for Downlink Multiuser URLLC Systems

In this paper, we focus on the decoding error probability based beamforming design for a downlink multiantenna multiuser ultra reliable and low-latency communication (URLLC) system. We first optimize the transmit beamformer to minimize the maximum finite blocklength (FBL) decoding error probability under block fading channels, which turns out to be a complicated nonconvex problem with a non-closed-form objective function. A successive convex approximation (SCA)-based algorithm is developed to determine a high-quality solution. Moreover, in order to reduce the computational complexity of the proposed algorithm, we perform the downlink beamforming optimization by solving a simpler virtual uplink problem. The complexity of the resultant solution only scales linearly with the number of transmit antennas. Furthermore, a special case with quasi-static channels is investigated, where the proposed SCA and the uplink-downlink duality based solutions for the block fading channel can be simplified in a non-trivial manner. Simulation results verify the performance superiorities of the proposed algorithms in the context of short packet communication. In particular, the proposed designs outperform conventional regularized zero-forcing (RZF) and max-min signal-to-interference-plus-noise ratio (SINR) beamforming by evident gains in terms of the FBL decoding error probability.

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Publication Details

Journal
IEEE Transactions on Communications
Published
2024-11-27
DOI
https://doi.org/10.1109/tcomm.2024.3506951
Citations
3
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.63
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article

Min-Max Decoding Error Probability Oriented Beamforming for Downlink Multiuser URLLC Systems

Wei Xu, Chunming Zhao, Pengcheng Zhu, Hong Shen et al.
3 citations
IEEE Transactions on Communications
Advanced MIMO Systems Optimization
0.63
article

Min-Max Decoding Error Probability Oriented Beamforming for Downlink Multiuser URLLC Systems

Wei Xu, Chunming Zhao, Pengcheng Zhu, Hong Shen, Shulei Gong, Zhicheng Li
article en
3 citations

Abstract

In this paper, we focus on the decoding error probability based beamforming design for a downlink multiantenna multiuser ultra reliable and low-latency communication (URLLC) system. We first optimize the transmit beamformer to minimize the maximum finite blocklength (FBL) decoding error probability under block fading channels, which turns out to be a complicated nonconvex problem with a non-closed-form objective function. A successive convex approximation (SCA)-based algorithm is developed to determine a high-quality solution. Moreover, in order to reduce the computational complexity of the proposed algorithm, we perform the downlink beamforming optimization by solving a simpler virtual uplink problem. The complexity of the resultant solution only scales linearly with the number of transmit antennas. Furthermore, a special case with quasi-static channels is investigated, where the proposed SCA and the uplink-downlink duality based solutions for the block fading channel can be simplified in a non-trivial manner. Simulation results verify the performance superiorities of the proposed algorithms in the context of short packet communication. In particular, the proposed designs outperform conventional regularized zero-forcing (RZF) and max-min signal-to-interference-plus-noise ratio (SINR) beamforming by evident gains in terms of the FBL decoding error probability.

IEEE Transactions on CommunicationsVol. 73(6)
China Mobile (China) (CN), Southeast University (CN)
Openalex Percentile: Top 30%
Advanced MIMO Systems Optimization
0.63
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