【丽娜毛】低分辨率ADC下无蜂窝大规模MIMO上行增强

【丽娜毛】低分辨率ADC下无蜂窝大规模MIMO上行增强

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这份文件深入探讨速率分层多址(RSMA)技术在无蜂窝大规模多输入多输出(MIMO)系统上行链路中的应用,尤其关注使用低分辨率模数转换器(ADC)的场景。文章推导验证了在考虑ADC量化失真和不完美连续干扰消除的情况下,可达速率能量效率(EE)的闭式表达式。此外,作者还提出了加权和速率(WSR)和能量效率最大化问题的联合优化算法,通过交替优化(AO)方法对功率控制系数和接收权重进行优化。仿真结果表明,尽管存在低分辨率ADC,RSMA在提高数据速率和能量效率方面均优于空分多址(SDMA),特别是在存在严重导频污染和信道硬化的情况下。

Enhancing Uplink Performance for Cell-Free Massive MIMO With Low-Resolution ADCs by RSMA

Abstract:

This paper explores the potential of employing rate-splitting multiple access to enhance the achievable rate and energy efficiency (EE) of an uplink cell-free massive multiple-input multiple-output (MIMO) system, where the access points (APs) are configured with low-resolution analog-to-digital converters (ADCs) to minimize the hardware expense and power consumption. Taking the large-scale fading decoding, ADC quantization, and imperfect successive interference cancellation into consideration, a rigorous closed-form rate expression is derived within Ricean fading environments. This analytical framework facilitates an in-depth analysis of the rate performance with respect to various system parameters. To quantify the benefits of low-resolution ADCs, a power consumption model is subsequently incorporated into the analysis, facilitating an evaluation of the system’s EE. Furthermore, the optimization of power control coefficients and receiver weights is tackled through the formulation of weighted sum-rate (WSR) and EE maximization problems. Two efficient alternative algorithms are then proposed to determine their optimal solutions. The theoretical propositions and the efficacy of the proposed WSR and EE optimization algorithms are substantiated through comprehensive simulations.

Published in: IEEE Journal on Selected Areas in Communications ( Volume: 43, Issue: 3, March 2025)

Page(s): 720 - 735

Date of Publication: 30 January 2025

ISSN Information:

Print ISSN: 0733-8716

Electronic ISSN: 1558-0008

DOI: 10.1109/JSAC.2025.3536544

Publisher: IEEE

Funding Agency:

10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62201285, 62371250 and 62071352)

10.13039/501100010296-Natural Science Foundation on Frontier Leading Technology Basic Research Project of Jiangsu (Grant Number: BK20212001)

Open Research Fund of National Mobile Communications Research Laboratory of Southeast University (Grant Number: 2025D11)

Zhejiang Provincial Natural Science Foundation of China (Grant Number: LQ23F010010)