TY - GEN
T1 - Efficient user selection for downlink zero-forcing based multiuser MIMO systems
AU - Zhang, Yalin
AU - Golkar, Bijan
AU - Sousa, Elvino S.
AU - Zhang, Qinyu
PY - 2011
Y1 - 2011
N2 - In a downlink multiuser multiple-input and multiple-output (MU-MIMO) system, a base station (BS) communicates with multiple mobile stations (MS) simultaneously in a given spectrum band. The performance of a MU-MIMO system depends on the choice of user selection, power allocation and precoding schemes. In this paper, we study user selection in Zero-Forcing (ZF) precoding based MU-MIMO systems to maximize the sum rate for high data rate applications. We derive analytical results for simultaneous transmission to two MSs with zero forcing (ZF) precoding, based on which we propose a extended low-complexity algorithm that jointly considers the noise power, the channel gain of the candidate MSs and orthogonality with respect to the selected MSs' channels. Analysis shows that the proposed scheme requires much lower complexity than current schemes. Simulation results demonstrate that the proposed algorithm outperforms existing algorithms in terms of higher throughput.
AB - In a downlink multiuser multiple-input and multiple-output (MU-MIMO) system, a base station (BS) communicates with multiple mobile stations (MS) simultaneously in a given spectrum band. The performance of a MU-MIMO system depends on the choice of user selection, power allocation and precoding schemes. In this paper, we study user selection in Zero-Forcing (ZF) precoding based MU-MIMO systems to maximize the sum rate for high data rate applications. We derive analytical results for simultaneous transmission to two MSs with zero forcing (ZF) precoding, based on which we propose a extended low-complexity algorithm that jointly considers the noise power, the channel gain of the candidate MSs and orthogonality with respect to the selected MSs' channels. Analysis shows that the proposed scheme requires much lower complexity than current schemes. Simulation results demonstrate that the proposed algorithm outperforms existing algorithms in terms of higher throughput.
UR - https://www.scopus.com/pages/publications/83755172579
U2 - 10.1109/VETECF.2011.6092866
DO - 10.1109/VETECF.2011.6092866
M3 - 会议稿件
AN - SCOPUS:83755172579
SN - 9781424483273
T3 - IEEE Vehicular Technology Conference
BT - 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
T2 - IEEE 74th Vehicular Technology Conference, VTC Fall 2011
Y2 - 5 September 2011 through 8 September 2011
ER -