TY - JOUR
T1 - Sum-Rate and Power Scaling of Massive MIMO Systems with Channel Aging
AU - Kong, Chuili
AU - Zhong, Caijun
AU - Papazafeiropoulos, Anastasios K.
AU - Matthaiou, Michail
AU - Zhang, Zhaoyang
N1 - 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
PY - 2015/10/26
Y1 - 2015/10/26
N2 - 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.
AB - 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.
KW - Channel aging
KW - channel prediction
KW - massive MIMO
KW - power scaling law
KW - Sum-rate
UR - http://www.scopus.com/inward/record.url?scp=84961837429&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2015.2493998
DO - 10.1109/TCOMM.2015.2493998
M3 - Article
AN - SCOPUS:84961837429
SN - 0090-6778
VL - 63
SP - 4879
EP - 4893
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 12
M1 - 7307172
ER -