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2016

Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering

3 years 12 months ago
Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering
Abstract—Multicell cooperative processing with limited backhaul traffic is studied for cellular uplinks. Aiming at reduced backhaul overhead, a sparse multicell linear receive-filter design problem is formulated. Both unstructured distributed cooperation and clustered cooperation, in which base station groups are formed for tight cooperation, are considered. Dynamic clustered cooperation, where the sparse equalizer and the cooperation clusters are jointly determined, is solved via alternating minimization based on spectral clustering and group-sparse regression. Furthermore, decentralized implementations of both unstructured and clustered cooperation schemes are developed for scalability, robustness, and computational efficiency. Extensive numerical tests verify the efficacy of the proposed methods.
Swayambhoo Jain, Seung-Jun Kim, Georgios B. Gianna
Added 11 Apr 2016
Updated 11 Apr 2016
Type Journal
Year 2016
Where TWC
Authors Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis
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