Energy efficiency of massive MU-MIMO with limited antennas in downlink cellular networks

被引:11
|
作者
Fan, Jiancun [1 ,2 ]
Zhang, Ying [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian, Shaanxi, Peoples R China
[2] Sci & Technol Commun Networks Key Lab, Shijiazhuang, Hebei, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Multiuser MIMO; Achievable sum-rate; Energy-efficiency; Maximal ratio transmission; Zero-forcing precoder; WIRELESS; SYSTEMS; DESIGN;
D O I
10.1016/j.dsp.2018.10.002
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
In this paper, we analyze and optimize the energy efficiency (EE) of multi-user (MU) multiple-input and multiple-output (MIMO) in downlink multi-cell networks. We first analyze the spectral efficiency (SE) of MU-MIMO systems with a huge number of base station (BS) antennas by using maximal ratio transmission (MRT) and zero-forcing (ZF) precoders in downlink cellular networks. In the analysis, we assume that the number of the BS antennas is huge but limited, which is different from the conventional analysis. Then, we use the analytical SE result and the EE definition to obtain the system EE expression and further analyze the effect of the number of BS antennas and the number of served users on system EE. Since the system EE on the numbers of BS antennas and the number of served users is approximately concave, the corresponding iterative optimization algorithms are proposed to achieve the maximum system EE. The computer simulation results show that the analytical results are accurate and each served user needs about 2 active BS antennas to obtain the maximum system EE when the channel state information is available at the transmitter. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 50 条
  • [1] Energy efficient power allocation strategy for downlink MU-MIMO with massive antennas
    ZHAO Long
    ZHAO Hui
    ZHENG Kan
    [J]. The Journal of China Universities of Posts and Telecommunications, 2013, 20 (03) : 1 - 7
  • [2] Coverage Analysis of Downlink MU-MIMO Cellular Networks
    Arsal, Ali
    Civanlar, M. Reha
    Uysal, Murat
    [J]. IEEE COMMUNICATIONS LETTERS, 2021, 25 (09) : 2859 - 2863
  • [3] Performance Analysis of MU-MIMO in Downlink Cellular Networks
    Fan, Jiancun
    Xu, Zhikun
    Li, Geoffrey Ye
    [J]. IEEE COMMUNICATIONS LETTERS, 2015, 19 (02) : 223 - 226
  • [4] Spectral and Energy Efficiency of Downlink MU-MIMO Systems with MRT
    Weiqiang Tan
    Shi Jin
    Jide Yuan
    [J]. China Communications, 2017, 14 (05) : 105 - 111
  • [5] Spectral and Energy Efficiency of Downlink MU-MIMO Systems with MRT
    Tan, Weiqiang
    Jin, Shi
    Yuan, Jide
    [J]. CHINA COMMUNICATIONS, 2017, 14 (05) : 105 - 111
  • [6] Coordination Beamforming for Secrecy Enhancement in the Downlink MU-MIMO Cellular Networks
    Zhang, Qin
    Bai, Juan
    Zhang, Linrang
    Zheng, Guimei
    Zhang, Xuefei
    [J]. 2016 19TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC), 2016,
  • [7] Differential Downlink Transmission in Massive MU-MIMO Systems
    Alsifiany, Fahad
    Ikhlef, Aissa
    Alageli, Mahmoud
    Chambers, Jonathon
    [J]. IEEE ACCESS, 2019, 7 : 86906 - 86919
  • [8] MU-MIMO Aided Secure Transmission in Cognitive Downlink Heterogeneous Cellular Networks
    Qi, Xiaohui
    Huang, Kaizhi
    Zhong, Zhihao
    [J]. 2016 19TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC), 2016,
  • [9] Adaptive SU/MU-MIMO Scheduling for LTE-A Downlink Cellular Networks
    Guo, Wei
    Fan, Jiancun
    Li, Geoffrey Ye
    Yin, Qinye
    Zhu, Xiaolong
    [J]. 2014 IEEE 80TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2014,
  • [10] Beamforming in Massive MU-MIMO Cellular Networks: A Stochastic Geometry Approach
    Hassan, Ahmad Kamal
    Moinuddin, Muhammad
    Al-Saggaf, Ubaid M.
    [J]. 2016 6TH INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS), 2016,