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

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

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70 Citations (Scopus)
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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.

Original languageEnglish
Article number7307172
Pages (from-to)4879-4893
Number of pages15
JournalIEEE Transactions on Communications
Issue number12
Publication statusPublished - 26 Oct 2015


  • Channel aging
  • channel prediction
  • massive MIMO
  • power scaling law
  • Sum-rate


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