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.
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© 2015 Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Tajbakhsh, S.E., Ray, T., Reed, M.C. (2015). An Evolutionary Approach to Resource Allocation in Wireless Small Cell Networks. In: Weichold, M., Hamdi, M., Shakir, M., Abdallah, M., Karagiannidis, G., Ismail, M. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-319-24540-9_59
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DOI: https://doi.org/10.1007/978-3-319-24540-9_59
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