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A particle swarm optimization algorithm for resource allocation in femtocell networks

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6 Author(s)
Zhuo Li ; Nat. Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China ; Song Guo ; Wenzhong Li ; Sanglu Lu
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Femtocell network is an efficient configuration to improve coverage and quality of service (QoS) in cellular networks. However, due to dense deployment, users in a femtocell may be interfered by the base stations nearby, resulting in a deteriorated throughput of the femtocell. In this paper, we investigate the resource allocation problem targeting at max-min throughput of the femtocells. Under the assumption that a number of discrete power levels are available for each device, a joint optimization problem over power control and channel allocation is formulated. We show its hardness and propose a particle swarm optimization based algorithm PCASO. We demonstrate the efficiency of PCASO by thorough numerical experiments.

Published in:

Wireless Communications and Networking Conference (WCNC), 2012 IEEE

Date of Conference:

1-4 April 2012