An Evolutionary Approach to Resource Allocation in Wireless Small Cell Networks

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.

[1]  Chi Wan Sung Log-convexity property of the feasible SIR region in power-controlled cellular systems , 2002, IEEE Commun. Lett..

[2]  Tapabrata Ray,et al.  Joint power control and resource scheduling in wireless heterogeneous networks , 2015, 2015 22nd International Conference on Telecommunications (ICT).

[3]  Daniel Pérez Palomar,et al.  Power Control By Geometric Programming , 2007, IEEE Transactions on Wireless Communications.

[4]  Jeffrey G. Andrews,et al.  An overview of load balancing in hetnets: old myths and open problems , 2013, IEEE Wireless Communications.

[5]  Jianwei Huang,et al.  MAPEL: Achieving global optimality for a non-convex wireless power control problem , 2008, IEEE Transactions on Wireless Communications.

[6]  Frank Kelly,et al.  Charging and rate control for elastic traffic , 1997, Eur. Trans. Telecommun..

[7]  Catherine Rosenberg,et al.  Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[8]  Jeffrey G. Andrews,et al.  User Association for Load Balancing in Heterogeneous Cellular Networks , 2012, IEEE Transactions on Wireless Communications.