TY - GEN
T1 - Interference suppression through power allocation for massive MIMO systems with channel aging
AU - Shubhi, Ilmiawan
AU - Pamungkasari, Panca Dewi
AU - Juwono, Filbert H.
AU - Dharmanto, Satriyo
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - To acquire an optimum potential of massive multiple-input multiple-output (MIMO), congruity between pre-coder and the actual channel is required. This circumstance, however, is hard to obtain when the mobile station (MS) is moving in a multipath environment and experiencing channel aging. Suffering channel aging, a mismatch between the precoder matrix and the actual channel matrix occurs which causes interuser interference at the MS. To tackle this problem, we propose a channel prediction based power allocation technique for time-varying massive MIMO. First, we estimate Doppler shift experienced by the BS to create a channel prediction. Afterward, we conduct recursive power allocation with the goal of minimizing channel aging effect at the MS. Using the proposed technique, each MS only suffers a certain interference level which still can be handled by the MS. Through computer simulation, it is shown that our proposed technique enables the time-varying massive MIMO transmission without a significant addition to computational complexity.
AB - To acquire an optimum potential of massive multiple-input multiple-output (MIMO), congruity between pre-coder and the actual channel is required. This circumstance, however, is hard to obtain when the mobile station (MS) is moving in a multipath environment and experiencing channel aging. Suffering channel aging, a mismatch between the precoder matrix and the actual channel matrix occurs which causes interuser interference at the MS. To tackle this problem, we propose a channel prediction based power allocation technique for time-varying massive MIMO. First, we estimate Doppler shift experienced by the BS to create a channel prediction. Afterward, we conduct recursive power allocation with the goal of minimizing channel aging effect at the MS. Using the proposed technique, each MS only suffers a certain interference level which still can be handled by the MS. Through computer simulation, it is shown that our proposed technique enables the time-varying massive MIMO transmission without a significant addition to computational complexity.
KW - Channel aging
KW - Channel prediction
KW - Massive MIMO
KW - Power allocator
KW - Time-varying channels
UR - http://www.scopus.com/inward/record.url?scp=85045910560&partnerID=8YFLogxK
U2 - 10.1109/WPMC.2017.8301858
DO - 10.1109/WPMC.2017.8301858
M3 - Conference Proceeding
AN - SCOPUS:85045910560
T3 - International Symposium on Wireless Personal Multimedia Communications, WPMC
SP - 465
EP - 469
BT - Proceedings - 20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017
PB - IEEE Computer Society
T2 - 20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017
Y2 - 17 December 2017 through 20 December 2017
ER -