• DocumentCode
    3609006
  • Title

    Sum-Rate and Power Scaling of Massive MIMO Systems With Channel Aging

  • Author

    Chuili Kong ; Caijun Zhong ; Papazafeiropoulos, Anastasios K. ; Matthaiou, Michail ; Zhaoyang Zhang

  • Author_Institution
    Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    63
  • Issue
    12
  • fYear
    2015
  • Firstpage
    4879
  • Lastpage
    4893
  • Abstract
    This paper investigates the achievable sum-rate of massive multiple-input multiple-output (MIMO) systems in the presence of channel aging. For the uplink, by assuming that the base station (BS) deploys maximum ratio combining (MRC) or zero-forcing (ZF) receivers, we present tight closed-form lower bounds on the achievable sum-rate for both receivers with aged channel state information (CSI). In addition, the benefit of implementing channel prediction methods on the sum-rate is examined, and closed-form sum-rate lower bounds are derived. Moreover, the impact of channel aging and channel prediction on the power scaling law is characterized. Extension to the downlink scenario and multicell scenario is also considered. It is found that, for a system with/without channel prediction, the transmit power of each user can be scaled down at most by 1/√M (where M is the number of BS antennas), which indicates that aged CSI does not degrade the power scaling law, and channel prediction does not enhance the power scaling law; instead, these phenomena affect the achievable sum-rate by degrading or enhancing the effective signal to interference and noise ratio, respectively.
  • Keywords
    MIMO communication; ageing; antenna arrays; cellular radio; diversity reception; radio receivers; radiofrequency interference; telecommunication power management; BS antennas; CSI; MRC; ZF receivers; base station; channel aging; channel prediction methods; channel state information; closed-form sum-rate lower bounds; massive MIMO systems; maximum ratio combining; multicell scenario; multiple-input multiple-output systems; power scaling law; transmit power; zero-forcing receivers; Antennas; Channel estimation; Downlink; MIMO; Receivers; Uplink; Channel aging; channel prediction; massive MIMO; power scaling law; sum-rate;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2015.2493998
  • Filename
    7307172