Efficient Cell-Clustering Algorithm for Inter-Cluster Interference Mitigation in Network MIMO Systems

• Published in: IEEE communications letters Vol. 15; no. 3; pp. 326 - 328
• Main Authors: Moon, Jung-Min, Cho, Dong-Ho
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.03.2011; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; clustering; Clustering algorithms; Clusters; Computer simulation; coordinated transmission; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Heuristic algorithms; Information, signal and communications theory; inter-cluster interference; Interference; Interference channels; MIMO; Miscellaneous; Network MIMO; Networks; Outages; Performance enhancement; Signal and communications theory; Signal processing; Signal representation. Spectral analysis; Signal to noise ratio; Signal, noise; Simulation; Telecommunications; Telecommunications and information theory; Teleprocessing networks. Isdn; Valuation and optimization of characteristics. Simulation; Performance evaluation; MIMO system; Automatic classification; Outage; Noise reduction; coordinated transmission; Network MIMO; Algorithm; Signal classification; inter-cluster interference; Interference suppression; Networked system; Algorithm performance; Simulation; Data transmission network; Signal processing; clustering
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2011.012511.101865

Coordinated transmission in network MIMO systems, in which a set of access points form a cluster and serve each user in the network, is currently the subject of a great deal of research effort. We propose a cell-clustering algorithm that aims at finding the efficient configuration of the clusters to increase the sum-rate of the users. Through simulation, we observe the improved performance of the proposed algorithm in terms of the sum-rate and the outage probability.