A Framework for One-Bit and Constant-Envelope Precoding over Multiuser Massive MISO Channels
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Abstract (arXiv)
Consider the following problem: A multi-antenna base station (BS) sends multiple symbol streams to multiple single-antenna users via precoding. However, unlike conventional multiuser precoding, the transmitted signals are subjected to binary, unit-modulus, or even discrete unit-modulus constraints. Such constraints arise in the one-bit and constant-envelope (CE) massive MIMO scenarios, wherein high-resolution digital-to-analog converters (DACs) are replaced by one-bit DACs and phase shifters, respectively, for cutting down hardware cost and energy consumption. Multiuser precoding under one-bit and CE restrictions poses significant design difficulty. In this paper we establish a framework for designing multiuser precoding under the one-bit, continuous CE and discrete CE scenarios---all within one theme. We first formulate a precoding design that focuses on minimizations of symbol-error probabilities (SEPs), assuming quadrature amplitude modulation (QAM) constellations. We then devise an algorithm for our SEP-based design. The algorithm combines i) a novel penalty method for handling binary, unit-modulus and discrete unit-modulus constraints; and ii) a first-order non-convex optimization recipe custom-built for the design. Specifically, the latter is an inexact majorization-minimization method via accelerated projected gradient, which, as shown by simulations, runs very fast and can handle a large number of decision variables. Simulation results indicate that the proposed design offers significantly better bit-error rate performance than the existing designs.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Oct 2018.
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Citing papers per year: 2022: 2; 2023: 1; 2024: 0; 2025: 3.
6 papers.
- 2022Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixingcited by 6
- 2023Asymptotic SEP Analysis and Optimization of Linear-Quantized Precoding in Massive MIMO Systemscited by 2
- 2025Asymptotic Analysis of One-bit Quantized Box-Constrained Precoding in Large-Scale Multi-User Systemscited by 1
- 2025Rethinking Coupled Tensor Analysis for Hyperspectral Super-Resolution: Recoverable Modeling Under Endmember Variabilitycited by 1
- 2022Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methodscited by 0
- 2025Asymptotic Analysis of Nonlinear One-Bit Precoding in Massive MIMO Systems via Approximate Message Passingcited by 0
- 2025Rethinking Coupled Tensor Analysis for Hyperspectral Super-Resolution: Recoverable Modeling Under Endmember Variability22 Dec 2025
- 2025Asymptotic Analysis of Nonlinear One-Bit Precoding in Massive MIMO Systems via Approximate Message Passing17 Sep 2025
- 2025Asymptotic Analysis of One-bit Quantized Box-Constrained Precoding in Large-Scale Multi-User Systems5 Feb 2025
- 2023Asymptotic SEP Analysis and Optimization of Linear-Quantized Precoding in Massive MIMO Systems13 Jul 2023
- 2022Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing8 May 2022
- 2022Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods28 Apr 2022