A suboptimal user selection algorithm for wireless broadcast channels

Fenggang Sun; ju liu; peng Lan; Hongji Xu; Yujun Li

ChinaCom2008-Signal Processing for Communications Symposium

Research Article

A suboptimal user selection algorithm for wireless broadcast channels

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CHINACOM.2008.4685054,
    author={Fenggang Sun and ju liu and peng Lan and Hongji Xu and Yujun Li},
    title={A suboptimal user selection algorithm for wireless broadcast channels},
    proceedings={ChinaCom2008-Signal Processing for Communications Symposium},
    publisher={IEEE},
    proceedings_a={CHINACOM2008-SPC},
    year={2008},
    month={11},
    keywords={User selection; SLNR; multiuser MIMO; downlink; scheduling},
    doi={10.1109/CHINACOM.2008.4685054}
}

Fenggang Sun
ju liu
peng Lan
Hongji Xu
Yujun Li
Year: 2008
A suboptimal user selection algorithm for wireless broadcast channels
CHINACOM2008-SPC
IEEE
DOI: 10.1109/CHINACOM.2008.4685054

Fenggang Sun¹^,*, ju liu²^,*, peng Lan²^,*, Hongji Xu²^,*, Yujun Li³

1: School of Information Science and Engineering, Shandong University，250100 Jinan, China , State Key Lab. of Mobile Communications, Southeast University, 210096 Nanjing, China
2: School of Information Science and Engineering, Shandong University，250100 Jinan, China
3: Hisense Group, 266071 Qingdao, China

*Contact email: sfg1982@mail.sdu.edu.cn, juliu@sdu.edu.cn, lanpeng@mail.sdu.edu.cn, hongjixu@sdu.edu.cn

Abstract

In downlink broadcast channels, the multiple-antenna base station (BS) often communicates with several users simultaneously. However, the co-channel interference increases as the number of users increases, therefore, BS can not afford too many users. So user selection is necessary. In this paper, we propose a suboptimal user selection algorithm based on signal-to-leakage-noise ratio (SLNR) for the wireless broadcast systems. The property of the proposed user selection algorithm is studied compared with some other selection algorithms in conjunction with the SLNR precoding. Simulation results show that the performance of the proposed algorithm is close to that of the optimal one. For fairness, the impact of scheduling algorithm is also considered.

Keywords: User selection; SLNR; multiuser MIMO; downlink; scheduling

Published: 2008-11-21
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.1109/CHINACOM.2008.4685054