Title
Backhaul-Constrained Multi-Cell 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.
Year
DOI
Venue
2014
10.1109/TWC.2015.2480392
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
Coordinated multi-point, decentralized algorithms, multicell cooperation, sparsity
Base station,Cluster (physics),Spectral clustering,Backhaul (telecommunications),Computer network,Robustness (computer science),Implementation,Minification,Mathematics,Distributed computing,Scalability
Journal
Volume
Issue
ISSN
abs/1409.8359
2
1536-1276
Citations 
PageRank 
References 
7
0.47
30
Authors
3
Name
Order
Citations
PageRank
Swayambhoo Jain1234.54
Seung-Jun Kim2100362.52
Georgios B. Giannakis370.47