Cell Clustering Algorithm in Uplink Network MIMO Systems with Individual SINR Constraints

Sang-Uk PARK  Jung-Hyun PARK  Dong-Jo PARK  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E97-A   No.2   pp.698-703
Publication Date: 2014/02/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E97.A.698
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Communication Theory and Signals
network MIMO,  multicell systems,  BS cooperation,  cell clustering algorithm,  cluster extension,  SINR constraints,  

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This letter deals with a new cell clustering problem subject to signal-to-interference-plus-noise-ratio (SINR) constraints in uplink network MIMO systems, where multiple base stations (BSs) cooperate for joint processing as forming a cluster. We first prove that the SINRs of users in a certain cluster always increase monotonically as the cluster size increases when the receiver filter that maximizes the SINR is used. Using this result, we propose an efficient clustering algorithm to minimize the maximum number of cooperative BSs in a cluster. Simulation results show that the maximum number of cooperative BSs minimized by the proposed method is close to that minimized by the exhaustive search and the proposed scheme outperforms the conventional one in terms of the outage probability.