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2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
ISSN: 2375-9356
ISBN: 978-1-4673-8795-8
pp: 251-256
Tuan LeAnh , Department of Computer Engineering, Kyung Hee University, Korea
Nguyen H. Tran , Department of Computer Engineering, Kyung Hee University, Korea
Choong Seon Hong , Department of Computer Engineering, Kyung Hee University, Korea
ABSTRACT
The cognitive femtocell network (CFN) integrated with cognitive radio-enabled technology has emerged as one of the promising solutions to improve wireless broadband coverage in indoor environment for next-generation mobile networks. In this paper, we study a distributed resource allocation that consists of subchannel- and power-level allocation in the uplink of the two-tier CFN comprised of a conventional macrocell and multiple femtocells using underlay spectrum access. The distributed resource allocation problem is addressed via an optimization problem, in which we maximize the uplink sum-rate under constraints of intra-tier and inter-tier interferences while maintaining the minimum rate requirement of the served femto users. Specifically, the aggregated interference from cognitive femto users to the macrocell base station is also kept under an acceptable level. We show that this optimization problem is NP-hard and propose a distributed framework to maximize the sum-rate of network based on coalitional game in partition form. The proposed framework is tested based on the simulation results and shown to perform efficient resource allocation.
INDEX TERMS
Games, Interference, Resource management, Uplink, Optimization, Macrocell networks, Femtocell networks
CITATION

T. LeAnh, N. H. Tran and C. S. Hong, "Distributed power and channel allocation for cognitive femtocell network using a coalitional game approach," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 251-256.
doi:10.1109/BIGCOMP.2016.7425921
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