TY - GEN
T1 - Capacity-Fairness Tradeoff for Optimal Power Allocation in Cluster-wise MU-MIMO System
AU - Xia, Sijie
AU - Ge, Chang
AU - Chen, Qiang
AU - Adachi, Fumiyuki
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The cluster-wise multi-user multi-input multi-output (MU-MIMO), division of the ultra-dense network in the beyond fifth-generation (B5G) system into several small-scale MU-MIMO, is an effective way to reduce the computational complexity of the system operations. Reasonable power allocation is excepted for the improvement of system performance by adjusting the inter-cluster-interference. In this paper, we consider an optimal power allocation (OPA) method to realize the flexible tradeoff between sum capacity maximization and user fairness maximization while guaranteeing the minimum user capacity under the total transmit power constraint to meet the needs of different application scenarios. The simulation results verify that the proposed OPA method can effectively adjust the tradeoff between sum capacity and user fairness.
AB - The cluster-wise multi-user multi-input multi-output (MU-MIMO), division of the ultra-dense network in the beyond fifth-generation (B5G) system into several small-scale MU-MIMO, is an effective way to reduce the computational complexity of the system operations. Reasonable power allocation is excepted for the improvement of system performance by adjusting the inter-cluster-interference. In this paper, we consider an optimal power allocation (OPA) method to realize the flexible tradeoff between sum capacity maximization and user fairness maximization while guaranteeing the minimum user capacity under the total transmit power constraint to meet the needs of different application scenarios. The simulation results verify that the proposed OPA method can effectively adjust the tradeoff between sum capacity and user fairness.
KW - Beyond 5G
KW - Distributed antenna system
KW - MU-MIMO
KW - Power allocation
KW - User-clustering
UR - http://www.scopus.com/inward/record.url?scp=85141532171&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85141532171&partnerID=8YFLogxK
U2 - 10.1109/APWCS55727.2022.9906515
DO - 10.1109/APWCS55727.2022.9906515
M3 - Conference contribution
AN - SCOPUS:85141532171
T3 - APWCS 2022 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium
SP - 16
EP - 20
BT - APWCS 2022 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2022
Y2 - 24 August 2022 through 25 August 2022
ER -