English

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

Information Theory 2016-11-18 v1 math.IT

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 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/M1/\sqrt{M} (where MM 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

Cite

@article{arxiv.1510.06827,
  title  = {Sum-Rate and Power Scaling of Massive MIMO Systems with Channel Aging},
  author = {Chuili Kong and Caijun Zhong and Anastasios K. Papazafeiropoulos and Michail Matthaiou and Zhaoyang Zhang},
  journal= {arXiv preprint arXiv:1510.06827},
  year   = {2016}
}

Comments

Accepted to appear in IEEE Transactions on Communications