TY - GEN
T1 - Impact of Channel State Misreporting on Multi-user Massive MIMO Scheduling Performance
AU - Zhang, Zhanzhan
AU - Sun, Yin
AU - Sabharwal, Ashutosh
AU - Chen, Zhiyong
N1 - Funding Information:
Ashutosh Sabharwal was partially supported by NSF grants CNS-1518916 and CNS-1314822.
Funding Information:
Zhiyong Chen was partially supported by the National Natural Science Foundation of China (Grant No. 61671291, 61528103, and 61521062), Huawei HIRP Project under Grants YB2015040062 and STC-SM15DZ2270400.
Funding Information:
Yin Sun was partially supported by the Office of Naval Research under Grant N00014-17-1-2417.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/8
Y1 - 2018/10/8
N2 - The robustness of system throughput with scheduling is a critical issue. In this paper, we analyze the sensitivity of multi-user scheduling performance to channel misreporting in systems with massive antennas. The main result is that for the round-robin scheduler combined with max-min power control, the channel magnitude misreporting is harmful to the scheduling performance and has a different impact from the purely physical layer analysis. Specifically, for the homogeneous users that have equal average signal-to-noise ratios (SNRs), underreporting is harmful, while overreporting is beneficial to others. In under-reporting, the asymptotic rate loss on others is derived, which is tight when the number of antennas is huge. One interesting observation in our research is that the rate loss 'periodically' increases and decreases as the number of misreporters grows. For the heterogeneous users that have various SNRs, both underreporting and overreporting can degrade the scheduler performance. We observe that strong misreporting changes the user grouping decision and hence greatly decreases some users' rates regardless of others gaining rate improvements, while with carefully designed weak misreporting, the scheduling decision keeps fixed and the rate loss on others is shown to grow nearly linearly with the number of misreporters.
AB - The robustness of system throughput with scheduling is a critical issue. In this paper, we analyze the sensitivity of multi-user scheduling performance to channel misreporting in systems with massive antennas. The main result is that for the round-robin scheduler combined with max-min power control, the channel magnitude misreporting is harmful to the scheduling performance and has a different impact from the purely physical layer analysis. Specifically, for the homogeneous users that have equal average signal-to-noise ratios (SNRs), underreporting is harmful, while overreporting is beneficial to others. In under-reporting, the asymptotic rate loss on others is derived, which is tight when the number of antennas is huge. One interesting observation in our research is that the rate loss 'periodically' increases and decreases as the number of misreporters grows. For the heterogeneous users that have various SNRs, both underreporting and overreporting can degrade the scheduler performance. We observe that strong misreporting changes the user grouping decision and hence greatly decreases some users' rates regardless of others gaining rate improvements, while with carefully designed weak misreporting, the scheduling decision keeps fixed and the rate loss on others is shown to grow nearly linearly with the number of misreporters.
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U2 - 10.1109/INFOCOM.2018.8486331
DO - 10.1109/INFOCOM.2018.8486331
M3 - Conference contribution
AN - SCOPUS:85056149084
T3 - Proceedings - IEEE INFOCOM
SP - 917
EP - 925
BT - INFOCOM 2018 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Conference on Computer Communications, INFOCOM 2018
Y2 - 15 April 2018 through 19 April 2018
ER -