On the Spectral Efficiency of Massive MIMO Systems With Low-Resolution ADCs

被引:208
作者
Zhang, Jiayi [1 ]
Dai, Linglong [2 ,3 ]
Sun, Shengyang [2 ,3 ]
Wang, Zhaocheng [2 ,3 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[3] Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol TNList, Beijing 100084, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金; 对外科技合作项目(国际科技项目);
关键词
Analog-to-digital convertor (ADC); massive MIMO; Rician fading channels; spectral efficiency;
D O I
10.1109/LCOMM.2016.2535132
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The low-resolution analog-to-digital convertor (ADC) is a promising solution to significantly reduce the power consumption of radio frequency circuits in massive multiple-input multiple-output (MIMO) systems. In this letter, we investigate the uplink spectral efficiency (SE) of massive MIMO systems with low-resolution ADCs over Rician fading channels, where both perfect and imperfect channel state information are considered. By modeling the quantization noise of low-resolution ADCs as an additive quantization noise, we derive tractable and exact approximation expressions of the uplink SE of massive MIMO with the typical maximal-ratio combining (MRC) receivers. We also analyze the impact of the ADC resolution, the Rician K-factor, and the number of antennas on the uplink SE. Our derived results reveal that the use of low-cost and low-resolution ADCs can still achieve satisfying SE in massive MIMO systems.
引用
收藏
页码:842 / 845
页数:4
相关论文
共 14 条
  • [1] Energy efficiency maximization for 5G multi-antenna receivers
    Bai, Q.
    Nossek, J. A.
    [J]. TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2015, 26 (01): : 3 - 14
  • [2] Uplink Achievable Rate for Massive MIMO Systems With Low-Resolution ADC
    Fan, Li
    Jin, Shi
    Wen, Chao-Kai
    Zhang, Haixia
    [J]. IEEE COMMUNICATIONS LETTERS, 2015, 19 (12) : 2186 - 2189
  • [3] Robust Predictive Quantization: Analysis and Design Via Convex Optimization
    Fletcher, Alyson K.
    Rangan, Sundeep
    Goyal, Vivek K.
    Ramchandran, Kannan
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2007, 1 (04) : 618 - 632
  • [4] Gao X., 2015, IEEE J SEL IN PRESS
  • [5] Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO
    Gao, Zhen
    Dai, Linglong
    Wang, Zhaocheng
    Chen, Sheng
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2015, 63 (23) : 6169 - 6183
  • [6] Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems
    Hien Quoc Ngo
    Larsson, Erik G.
    Marzetta, Thomas L.
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2013, 61 (04) : 1436 - 1449
  • [7] Liang N., 2015, ARXIV150403516
  • [8] QUANTIZING FOR MINIMUM DISTORTION
    MAX, J
    [J]. IRE TRANSACTIONS ON INFORMATION THEORY, 1960, 6 (01): : 7 - 12
  • [9] Capacity Analysis of One-Bit Quantized MIMO Systems With Transmitter Channel State Information
    Mo, Jianhua
    Heath, Robert W., Jr.
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2015, 63 (20) : 5498 - 5512
  • [10] Orhan O., 2015, ARXIV150201980