Performance Analysis of Cell-Free Massive MIMO Network With Large-Scale-Fading Decoding and Low-Resolution ADCs

被引:2
|
作者
Xiong, Youzhi [1 ]
Sun, Sanshan [1 ]
Liu, Li [1 ]
Mao, Sun [2 ]
Zhang, Zhongpei [3 ]
Wei, Ning [4 ]
机构
[1] Sichuan Normal Univ, Coll Phys & Elect Engn, Chengdu 610101, Peoples R China
[2] Sichuan Normal Univ Chengdu, Coll Comp Sci, Chengdu 610101, Peoples R China
[3] Univ Elect Sci & Technol China, Shenzhen Inst Adv Study, Shenzhen 518110, Peoples R China
[4] Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Chengdu 611731, Peoples R China
基金
中国国家自然科学基金;
关键词
Cell-free massive MIMO; MMSE; large-scale-fading decoding; low-resolution ADCs; bit allocation; SYSTEMS;
D O I
10.1109/TVT.2023.3276899
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Concentrating on cell-free massive multiple-input multiple-output (MIMO) networks with low-resolution analog-to-digital converters (ADCs), we derive the theoretical achievable uplink spectral efficiency (SE) for the minimum mean-squared error (MMSE)-based large-scale fading decoding (LSFD). Moreover, we investigate the bit allocation (BA) among access points (APs) to maximize the asymptotic sum SE under the constraint of total ADC quantization bits. Simulation results confirm that our theoretical analysis is accurate and validate that the proposed BA technique is preferable to the random and fixed counterparts.
引用
收藏
页码:13723 / 13728
页数:6
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