TY - JOUR
T1 - Massive MIMO Performance With Imperfect Channel Reciprocity and Channel Estimation Error
AU - Mi, De
AU - Dianati, Mehrdad
AU - Zhang, Lei
AU - Muhaidat, Sami
AU - Tafazolli, Rahim
N1 - Funding Information:
Manuscript received August 9, 2016; revised December 5, 2016; accepted February 17, 2017. Date of publication March 1, 2017; date of current version September 14, 2017. The authors would like to acknowledge the support of the University of Surrey 5GIC (http://www.surrey.ac.uk/5gic) members for this work. This work has also been supported by the European Union Seventh Framework Programme (FP7/2007-2013) under Grant 619563 (MiWaveS). The associate editor coordinating the review of this paper and approving it for publication was X. Yuan. (Corresponding author: Sami Muhaidat.) D. Mi, L. Zhang, and R. Tafazolli are with the 5G Innovation Centre, Institute for Communication Systems, University of Surrey, Guildford GU2 7XH, U.K. (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2017/9
Y1 - 2017/9
N2 - Channel reciprocity in time-division duplexing (TDD) massive multiple-input multiple-output (MIMO) systems can be exploited to reduce the overhead required for the acquisition of channel state information (CSI). However, perfect reciprocity is unrealistic in practical systems due to random radio-frequency (RF) circuit mismatches in uplink and downlink channels. This can result in a significant degradation in the performance of linear precoding schemes, which are sensitive to the accuracy of the CSI. In this paper, we model and analyse the impact of RF mismatches on the performance of linear precoding in a TDD multi-user massive MIMO system, by taking the channel estimation error into considerations. We use the truncated Gaussian distribution to model the RF mismatch, and derive closed-form expressions of the output signal-to-interference-plus-noise ratio for maximum ratio transmission and zero forcing precoders. We further investigate the asymptotic performance of the derived expressions, to provide valuable insights into the practical system designs, including useful guidelines for the selection of the effective precoding schemes. Simulation results are presented to demonstrate the validity and accuracy of the proposed analytical results.
AB - Channel reciprocity in time-division duplexing (TDD) massive multiple-input multiple-output (MIMO) systems can be exploited to reduce the overhead required for the acquisition of channel state information (CSI). However, perfect reciprocity is unrealistic in practical systems due to random radio-frequency (RF) circuit mismatches in uplink and downlink channels. This can result in a significant degradation in the performance of linear precoding schemes, which are sensitive to the accuracy of the CSI. In this paper, we model and analyse the impact of RF mismatches on the performance of linear precoding in a TDD multi-user massive MIMO system, by taking the channel estimation error into considerations. We use the truncated Gaussian distribution to model the RF mismatch, and derive closed-form expressions of the output signal-to-interference-plus-noise ratio for maximum ratio transmission and zero forcing precoders. We further investigate the asymptotic performance of the derived expressions, to provide valuable insights into the practical system designs, including useful guidelines for the selection of the effective precoding schemes. Simulation results are presented to demonstrate the validity and accuracy of the proposed analytical results.
KW - Channel reciprocity error
KW - Imperfect channel estimation
KW - Linear precoding
KW - Massive MU-MIMO
KW - RF mismatch
UR - http://www.scopus.com/inward/record.url?scp=85029923079&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2017.2676088
DO - 10.1109/TCOMM.2017.2676088
M3 - Article
AN - SCOPUS:85029923079
SN - 0090-6778
VL - 65
SP - 3734
EP - 3749
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 9
M1 - 7867037
ER -