TY - GEN
T1 - A Self-Calibration Scheme for TDD Massive MIMO with Imperfect Channel Estimation
AU - Mi, De
AU - Zhang, Lei
AU - Dianati, Mehrdad
AU - Muhaidat, Sami
AU - Xiao, Pei
N1 - Funding Information:
We would like to acknowledge the support of the University of Surrey 5GIC (www.surrey.ac.uk/5gic) members for this work.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/27
Y1 - 2018/8/27
N2 - Exploiting channel reciprocity, time-division-duplexing (TDD) operated massive multiple-input multiple-output (MIMO) systems are able to acquire the channel state information with a reasonable overhead of channel estimation. However, in practical scenarios, the imperfections in channel reciprocity can significantly degrade the system performance. In this work, we propose a novel self calibration scheme for the maximum ratio transmission in TDD multi-user massive MIMO systems to compensate for the imperfect channel reciprocity, with considerations of imperfect channel estimation. The proposed scheme shows the greater robustness to a compound effect of channel reciprocity error and channel estimation error, compared with the traditional self calibration scheme that is widely used in massive MIMO systems.
AB - Exploiting channel reciprocity, time-division-duplexing (TDD) operated massive multiple-input multiple-output (MIMO) systems are able to acquire the channel state information with a reasonable overhead of channel estimation. However, in practical scenarios, the imperfections in channel reciprocity can significantly degrade the system performance. In this work, we propose a novel self calibration scheme for the maximum ratio transmission in TDD multi-user massive MIMO systems to compensate for the imperfect channel reciprocity, with considerations of imperfect channel estimation. The proposed scheme shows the greater robustness to a compound effect of channel reciprocity error and channel estimation error, compared with the traditional self calibration scheme that is widely used in massive MIMO systems.
UR - http://www.scopus.com/inward/record.url?scp=85053612255&partnerID=8YFLogxK
U2 - 10.1109/SAM.2018.8448522
DO - 10.1109/SAM.2018.8448522
M3 - Conference contribution
AN - SCOPUS:85053612255
SN - 9781538647523
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 89
EP - 93
BT - 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
PB - IEEE Computer Society
T2 - 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
Y2 - 8 July 2018 through 11 July 2018
ER -