Active RIS-Aided Massive MIMO Uplink Systems With Low-Resolution ADCs

被引：0
作者：
Peng, Zhangjie [1 ]
Zhu, Jianchen [1 ]
Lu, Zecheng [1 ]
Liu, Xue [1 ]
Pan, Cunhua [2 ]
Wang, Jiangzhou [2 ,3 ]
机构：
[1] Shanghai Normal Univ, Coll Informat Mech & Elect Engn, Shanghai 200234, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[3] Purple Mt Labs, Pervas Commun Res Ctr, Nanjing 211111, Peoples R China
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2025年 / 14卷 / 01期
基金：
上海市自然科学基金; 中国国家自然科学基金;
关键词：
Uplink; Massive MIMO; Reconfigurable intelligent surfaces; Quantization (signal); Accuracy; Costs; Vectors; System performance; Rician channels; Fading channels; Reconfigurable intelligent surface (RIS); active RIS; uplink achievable rate; massive MIMO; low-resolution ADCs; RECONFIGURABLE INTELLIGENT SURFACE;
D O I：
10.1109/LWC.2024.3487765
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This letter considers an active reconfigurable intelligent surface (RIS)-aided multi-user uplink massive multiple-input multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs). This letter derives the closed-form approximate expression for the sum achievable rate (AR), where the maximum ratio combination (MRC) processing and low-resolution ADCs are applied at the base station. The system performance is analyzed, and a genetic algorithm (GA)-based method is proposed to optimize the RIS's phase shifts for enhancing the system performance. Numerical results verify the accuracy of the derivations and demonstrate that the active RIS has an evident performance gain over the passive RIS.
引用
收藏
页码：73 / 77
页数：5
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