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Relaxing Fairness for Improved User-Wise Error Performance in Constructive Interference Precoding
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DOI：10.1109/tcomm.2026.3708446.png)
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Abstract
En 中文
Symbol-level precoding (SLP) with constructive interference (CI) in a multi-user multiple-input single-output system is investigated under different objective functions. Instead of using the conventional max-min objective, which provides absolute fairness in terms of user-wise signal-to-noise ratio (SNR) performance, the objective is relaxed using arithmetic, geometric, and harmonic mean functions. This approach avoids strictly limiting the performance of all users to the level of those with the most adverse channel conditions, as happens with the conventional max-min objective. SLP-CI precoder designs for PSK and QAM constellations with a general concave objective function are first provided, followed by specialized solutions for the proposed mean functions through solving their respective dual problems. In particular, the harmonic mean objective was found to provide significantly improved overall symbol error rate performance, with only a marginal detriment to the weakest users in the system. Finally, the introduction of controlled perturbation in the SLP-CI design, along with a corresponding heuristic approach, is considered to enhance low-SNR performance. The proposed schemes are evaluated through simulations, highlighting significant improvements compared to the conventional max-min approach.
Keywords:
Symbol-level precoding
constructive interference precoding
MU-MISO
fairness
precoder regularization
Journal
IF:
8.3
Papers:
1.2W
Citations:
3.6W