Computer Science > Information Theory
[Submitted on 26 Oct 2022 (v1), last revised 20 Feb 2023 (this version, v3)]
Title:Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems
View PDFAbstract:Quantized constant envelope (QCE) precoding, a new transmission scheme that only discrete QCE transmit signals are allowed at each antenna, has gained growing research interests due to its ability of reducing the hardware cost and the energy consumption of massive multiple-input multiple-output (MIMO) systems. However, the discrete nature of QCE transmit signals greatly complicates the precoding design. In this paper, we consider the QCE precoding problem for a massive MIMO system with phase shift keying (PSK) modulation and develop an efficient approach for solving the constructive interference (CI) based problem formulation. Our approach is based on a custom-designed (continuous) penalty model that is equivalent to the original discrete problem. Specifically, the penalty model relaxes the discrete QCE constraint and penalizes it in the objective with a negative $\ell_2$-norm term, which leads to a non-smooth non-convex optimization problem. To tackle it, we resort to our recently proposed alternating optimization (AO) algorithm. We show that the AO algorithm admits closed-form updates at each iteration when applied to our problem and thus can be efficiently implemented. Simulation results demonstrate the superiority of the proposed approach over the existing algorithms.
Submission history
From: Zheyu Wu [view email][v1] Wed, 26 Oct 2022 07:52:34 UTC (4,165 KB)
[v2] Thu, 27 Oct 2022 01:12:17 UTC (4,165 KB)
[v3] Mon, 20 Feb 2023 14:27:57 UTC (4,165 KB)
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