Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21–23, 2015, Revised Selected Papers

Research Article

An Evolutionary Approach to Resource Allocation in Wireless Small Cell Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-24540-9_59,
        author={Shahriar Tajbakhsh and Tapabrata Ray and Mark Reed},
        title={An Evolutionary Approach to Resource Allocation in Wireless Small Cell Networks},
        proceedings={Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21--23, 2015, Revised Selected Papers},
        proceedings_a={CROWNCOM},
        year={2015},
        month={10},
        keywords={Small cell networks Resource allocation Optimization Evolutionary algorithms},
        doi={10.1007/978-3-319-24540-9_59}
    }
    
  • Shahriar Tajbakhsh
    Tapabrata Ray
    Mark Reed
    Year: 2015
    An Evolutionary Approach to Resource Allocation in Wireless Small Cell Networks
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-24540-9_59
Shahriar Tajbakhsh1,*, Tapabrata Ray1,*, Mark Reed1,*
  • 1: University of New South Wales
*Contact email: s.etemaditajbakhsh@unsw.edu.au, t.ray@unsw.edu.au, mark.reed@unsw.edu.au

Abstract

In this paper we consider the problem of joint resource allocation, user association and power control for optimizing the network utility which is a function of users’ data rates in a wireless heterogeneous network. This problem is shown to be NP-hard and non-convex. We propose an evolutionary algorithm to solve the problem.We show the gain of joint optimization over the scenarios with fixed power is considerable. Also in terms of computation time, our algorithm is substantially improved over the previously proposed algorithm by the authors.