Research Article
MU-MIMO User Pairing Algorithm to Achieve Overhead-Throughput Tradeoff in LTE-A Systems
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694619, author={Ying Wang and Fei Peng and Weidong Zhang and Yuan Yuan}, title={MU-MIMO User Pairing Algorithm to Achieve Overhead-Throughput Tradeoff in LTE-A Systems}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={mu-mimo pmi user pairing feedback overhead}, doi={10.1109/ChinaCom.2013.6694619} }- Ying Wang
Fei Peng
Weidong Zhang
Yuan Yuan
Year: 2013
MU-MIMO User Pairing Algorithm to Achieve Overhead-Throughput Tradeoff in LTE-A Systems
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694619
Abstract
This paper investigates user pairing algorithm in multiple-user multi-input multi-output (MU-MIMO) systems. Considering that users report Precoding Matrix Index (PMI) and Rank Indicator (RI) to indicate precoding matrix, multiple orthogonal PMI\&RI clusters are designed to reduce the MU-channel state indicator (MU-CSI) feedback overhead. On the basis of such predefined orthogonal clusters, a novel user pairing algorithm is proposed to make the tradeoff between cell throughput and MU-CSI feedback overhead. To further simplify computational complexity, we propose a suboptimal algorithm. Unlike previous researches, the transmission data streams of paired users are adaptively adjusted according to the channel condition. Simulation results show that the cell throughput gain achieved by our proposed algorithms is close to that achieved by other user pairing algorithms, with less feedback overhead in Long Term Evolution-Advanced (LTE-A) systems.
