TY - GEN
T1 - Robustness of Distributed Multi-User Beamforming
T2 - 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
AU - Doost-Mohammady, Rahman
AU - Zafari, Mehdi
AU - Sabharwal, Ashutosh
N1 - Funding Information:
ACKNOWLEDGMENT This work was sponsored in part by NSF PAWR Grant 1827940 for the POWDER-RENEW project, NSF CCRI Grant 2016727, and a grant from Army Research Labs.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we study the robustness of distributed beamforming in the presence of hardware imperfections. In particular, we characterize the impact of carrier frequency offset (CFO) between distributed antennas on multi-user receive beamforming. We characterize the performance of distributed beamforming in the presence of CFO using a massive MIMO platform. Using datasets collected from the platform, we measure and compare the beamforming performance in the presence and absence of CFO. Further, we study the effect of variation in CFO among beamforming antennas on the performance through simulations. Interestingly, we observe that this drop in performance is higher as more distributed antennas are included in beamforming. Our results can be used to determine the optimal number of antennas in distributed beamforming systems.
AB - In this paper, we study the robustness of distributed beamforming in the presence of hardware imperfections. In particular, we characterize the impact of carrier frequency offset (CFO) between distributed antennas on multi-user receive beamforming. We characterize the performance of distributed beamforming in the presence of CFO using a massive MIMO platform. Using datasets collected from the platform, we measure and compare the beamforming performance in the presence and absence of CFO. Further, we study the effect of variation in CFO among beamforming antennas on the performance through simulations. Interestingly, we observe that this drop in performance is higher as more distributed antennas are included in beamforming. Our results can be used to determine the optimal number of antennas in distributed beamforming systems.
KW - Beamforming
KW - Carrier Frequency offset
KW - Distributed MU-MIMO
UR - http://www.scopus.com/inward/record.url?scp=85135377226&partnerID=8YFLogxK
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U2 - 10.1109/SAM53842.2022.9827783
DO - 10.1109/SAM53842.2022.9827783
M3 - Conference contribution
AN - SCOPUS:85135377226
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 146
EP - 150
BT - 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 June 2022 through 23 June 2022
ER -