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Joint Secure Max-Min Fairness Precoding and Antenna Selection under Coarse Quantization

Author(s)
Bae, SoominYoo, SeunghyeongLee, SangminChoi, Jinseok
Issued Date
2026-04
DOI
10.1109/TVT.2025.3617312
URI
https://scholarworks.unist.ac.kr/handle/201301/91448
Citation
IEEE Transactions on Vehicular Technology, v.75, no.4, pp.6899 - 6903
Abstract
We propose a joint secure max-min fairness precoding and antenna selection algorithm for multi-user systems constrained by limited active antennas, low-resolution quantizers, and imperfect channel knowledge. We first formulate an optimization problem which is non-convex and non-smooth. Then, we cast it as a tractable problem, allowing us to leverage the available channel knowledge through averaging spectral efficiency and use a Lagrangian method to handle the antenna selection constraint. We identify the first-order optimality condition for a precoder and solve the condition by employing a generalized power iteration method, which achieves a superior sub-optimal solution. Simulations validate the proposed algorithm. © 2025 IEEE. All rights reserved.
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISSN
0018-9545
Keyword (Author)
antenna selectionimperfect channel state information at the transmitterlow-resolution digital-to-analog converterMax-min fairnessphysical layer security

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