TY - JOUR
T1 - Scheduling and Power Allocation Dampens the Negative Effect of Channel Misreporting in Massive MIMO
AU - Zhang, Zhanzhan
AU - Sun, Yin
AU - Sabharwal, Ashutosh
AU - Chen, Zhiyong
AU - Xia, Bin
N1 - Funding Information:
Manuscript received July 22, 2018; revised July 9, 2019 and March 22, 2020; accepted July 20, 2020; approved by IEEE/ACM TRANSAC- TIONS ON NETWORKING Editor K. Jamieson. Date of publication August 19, 2020; date of current version December 16, 2020. The work of Yin Sun was supported in part by the NSF under Grant CCF-1813050 and in part by the Office of Naval Research under Grant N00014-17-1-2417. The work of Ashutosh Sabharwal was supported by the NSF under Grant 1518916. The work of Zhiyong Chen was supported in part by the National Natural Science Foundation of China under Grant 61671291, in part by the National Key Research and Development Project of China under Grant 2019YFB1802701, and in part by the Shanghai Key Laboratory of Digital Media Processing under Grant STCSM 18DZ2270700. (Corresponding author: Zhiyong Chen.) Zhanzhan Zhang was with the Department of Electronics Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. He is now with Hisilicon Inc., Shanghai 201206, China (e-mail: mingzhanzhangg@ gmail.com). Yin Sun is with the Department of Electrical and Computer Engineering, Auburn University, Auburn, AL 36849 USA (e-mail: yzs0078@auburn.edu). Ashutosh Sabharwal is with the Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005 USA (e-mail: ashu@rice.edu). Zhiyong Chen is with the Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai 200240, China (e-mail: zhiyongchen@sjtu.edu.cn). Bin Xia is with the Department of Electronics Engineering, Shanghai Jiao Tong University, Shanghai 200240, China (e-mail: bxia@sjtu.edu.cn). Digital Object Identifier 10.1109/TNET.2020.3014630 1063-6692 © 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
Publisher Copyright:
© 1993-2012 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - We study the sensitivity of multi-user scheduling performance to channel magnitude misreporting in systems with massive antennas. We consider the round-robin scheduler combined with max-min and waterfilling power controls, respectively. We show that user scheduling combined with power allocation, in general, dampens the negative effect of channel misreporting compared to the purely physical layer analysis of channel misreporting without scheduling. We discover several interesting results. First, we observe a periodicity in rate-loss behavior as the number of misreporting users increases. Second, we find that the waterfilling power control is more robust to channel misreporting compared with max-min power control. Third, for homogeneous users with equal average signal-to-noise ratios (SNRs), channel underreporting is harmful but overreporting is beneficial for max-min power control; the opposite impact is found for waterfilling power control. For heterogeneous users with various average SNRs, however, both underreporting and overreporting harm the system for both power control policies, demonstrating the complex interactions across network layers due to channel misreporting.
AB - We study the sensitivity of multi-user scheduling performance to channel magnitude misreporting in systems with massive antennas. We consider the round-robin scheduler combined with max-min and waterfilling power controls, respectively. We show that user scheduling combined with power allocation, in general, dampens the negative effect of channel misreporting compared to the purely physical layer analysis of channel misreporting without scheduling. We discover several interesting results. First, we observe a periodicity in rate-loss behavior as the number of misreporting users increases. Second, we find that the waterfilling power control is more robust to channel misreporting compared with max-min power control. Third, for homogeneous users with equal average signal-to-noise ratios (SNRs), channel underreporting is harmful but overreporting is beneficial for max-min power control; the opposite impact is found for waterfilling power control. For heterogeneous users with various average SNRs, however, both underreporting and overreporting harm the system for both power control policies, demonstrating the complex interactions across network layers due to channel misreporting.
KW - Channel magnitude misreporting
KW - massive multiple-input multiple-output (MIMO)
KW - multi-user scheduling
KW - power control
KW - round-robin scheduling
KW - user grouping
UR - http://www.scopus.com/inward/record.url?scp=85097935447&partnerID=8YFLogxK
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U2 - 10.1109/TNET.2020.3014630
DO - 10.1109/TNET.2020.3014630
M3 - Article
AN - SCOPUS:85097935447
VL - 28
SP - 2531
EP - 2544
JO - IEEE/ACM Transactions on Networking
JF - IEEE/ACM Transactions on Networking
SN - 1063-6692
IS - 6
M1 - 9171324
ER -