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Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering

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3 Author(s)
Seung-Jun Kim ; Dept. of ECE, Univ. of Minnesota, Minneapolis, MN, USA ; Jain, S. ; Giannakis, G.B.

Multi-cell cooperative processing with limited backhaul traffic is considered for cellular uplinks. To parsimoniously select a set of cooperating base stations, a sparse multi-cell receive-filter is obtained through convex optimization using compressive sensing techniques. Clustered cooperation is also considered, where sparsity is promoted on inter-cluster feedback. A joint equalizer design and dynamic partitioning problem is formulated and solved using an iterative spectral clustering approach. Numerical tests verify the efficacy of proposed methods.

Published in:

Signal Processing Advances in Wireless Communications (SPAWC), 2012 IEEE 13th International Workshop on

Date of Conference:

17-20 June 2012

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