Impact of General Channel Aging Conditions on the Downlink Performance of Massive MIMO

被引:109
|
作者
Papazafeiropoulos, Anastasios K. [1 ]
机构
[1] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
关键词
Channel estimation; Doppler shift; hardware impairments; linear precoding; massive multiple-input multiple-output (MIMO); phase noise; time-division duplex (TDD) systems; PHASE NOISE; WIRELESS COMMUNICATIONS; OFDM SYSTEMS; TRANSCEIVER IMPAIRMENTS; CAPACITY LIMITS; COMPENSATION; ANTENNAS;
D O I
10.1109/TVT.2016.2570742
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
Recent works have identified massive multiple-input multiple-output (MIMO) as a key technology for achieving substantial gains in spectral and energy efficiency. Additionally, the turn to low-cost transceivers, being prone to hardware impairments, is the most effective and attractive way for cost-efficient applications concerning massive MIMO systems. In this context, the impact of channel aging, which severely affects performance, is investigated herein by considering a generalized model. Specifically, we show that both Doppler shift due to the users' relative movement, as well as phase noise due to noisy local oscillators, contribute to channel aging. To this end, we first propose a joint model, encompassing both effects, to investigate the performance of a massive MIMO system based on the inevitable time-varying nature of realistic mobile communications. Then, we derive the deterministic equivalents for the signal-to-noise-and-interference ratios (SINRs) with maximum ratio transmission (MRT) and regularized zero-forcing (RZF) precoding. Our analysis not only demonstrates a performance comparison between MRT and RZF under these conditions but, most importantly, also reveals interesting properties regarding the effects of user mobility and phase noise. In particular, the large antenna limit behavior profoundly depends on both effects, but the burden due to user mobility is much more detrimental than phase noise even for moderate user velocities (approximate to 30 km/h), whereas the negative impact of phase noise is noteworthy at lower mobility conditions. Moreover, massive MIMO systems are favorable even in general channel aging conditions. Nevertheless, we demonstrate that the transmit power of each user to maintain a certain quality of service can be scaled down, at most, by 1 root M (M is the number of base station antennas), which indicates that the joint effects of phase noise and user mobility do not degrade the power scaling law but only the achievable sum-rate.
引用
收藏
页码:1428 / 1442
页数:15
相关论文
共 50 条
  • [21] Performance of MIMO Channel Estimation in LTE Downlink
    Thiruvengadathan, R.
    Srikanth, S.
    2012 THIRD INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION & NETWORKING TECHNOLOGIES (ICCCNT), 2012,
  • [22] Impact of Channel Aging in Multi-Way Relay Networks With Massive MIMO
    Amarasuriya, Gayan
    Poor, H. Vincent
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 1951 - 1957
  • [23] Blind Channel Estimation for Downlink Massive MIMO Systems with Imperfect Channel Reciprocity
    Chopra, Ribhu
    Murthy, Chandra R.
    Suraweera, Himal A.
    Larsson, Erik G.
    IEEE Transactions on Signal Processing, 2020, 68 : 3132 - 3145
  • [24] Blind Channel Estimation for Downlink Massive MIMO Systems With Imperfect Channel Reciprocity
    Chopra, Ribhu
    Murthy, Chandra R.
    Suraweera, Himal A.
    Larsson, Erik G.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2020, 68 : 3132 - 3145
  • [25] Downlink Performance of Massive-MIMO Systems Using EVD-Based Channel Estimation
    Xu, Weiyang
    Xiang, Wei
    Jia, Yunjian
    Li, Youjun
    Yang, Yi
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (04) : 3045 - 3058
  • [26] Investigation of the Impact of Zero-Forcing Precoding on the Variation of Massive MIMO Transmitters Performance With Channel Conditions
    Almoneer, Mohammed
    Mitran, Patrick
    Boumaiza, Slim
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2021, 31 (06) : 802 - 804
  • [27] Channel Estimation Errors and Their Impact on Irregular Array Performance in Massive MIMO
    Kanters, Noud
    Glazunov, Andres Alayon
    2022 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), 2022, : 509 - 510
  • [28] Massive MIMO NOMA Downlink
    Kudathanthirige, Dhanushka
    Amarasuriya, Gayan
    2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [29] Structured Tensor Decomposition for FDD Massive MIMO Downlink Channel Reconstruction
    Chen, Lin
    Jiang, Xue
    Xiao, Pei
    Liu, Xingzhao
    Haardt, Martin
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2025, 73 : 887 - 902
  • [30] Block Expectation Propagation for Downlink Channel Estimation in Massive MIMO Systems
    Wu, Sheng
    Ni, Zuyao
    Meng, Xiangming
    Kuang, Linling
    IEEE COMMUNICATIONS LETTERS, 2016, 20 (11) : 2225 - 2228