A Study on Dynamic Clustering for Large-Scale Multi-User MIMO Distributed Antenna Systems with Spatial Correlation

Ou ZHAO  Hidekazu MURATA  

Publication
IEICE TRANSACTIONS on Communications   Vol.E99-B   No.4   pp.928-938
Publication Date: 2016/04/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2015EBP3353
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
Keyword: 
dynamic clustering,  multi-user MIMO,  distributed antenna systems,  spatial correlation,  sum rate,  zero-forcing precoding,  

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Summary: 
Distributed antenna systems (DASs) combined with multi-user multiple-input multiple-output (MU-MIMO) transmission techniques have recently attracted significant attention. To establish MU-MIMO DASs that have wide service areas, the use of a dynamic clustering scheme (CS) is necessary to reduce computation in precoding. In the present study, we propose a simple method for dynamic clustering to establish a single cell large-scale MU-MIMO DAS and investigate its performance. We also compare the characteristics of the proposal to those of other schemes such as exhaustive search, traditional location-based adaptive CS, and improved norm-based CS in terms of sum rate improvement. Additionally, to make our results more universal, we further introduce spatial correlation to the considered system. Computer simulation results indicate that the proposed CS for the considered system provides better performance than the existing schemes and can achieve a sum rate close to that of exhaustive search but at a lower computational cost.