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

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

Research output: Contribution to journalArticlepeer-review

72 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 multi-cell scenario are 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= p 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
Pages (from-to)4879 - 4893
JournalIEEE Transactions on Communications
Issue number12
Early online date26 Oct 2015
Publication statusPublished - Dec 2015


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