Joint power control, base station assignment, and channel assignment in cognitive femtocell networks

  • Authors:

  • John Paul M. Torregoza;Rentsen Enkhbat;Won-Joo Hwang

  • Affiliations:

  • Graduate School of Natural Sciences, Department of Computer Science, Inje University, Gimhae, Gyeongnam, South Korea;Department of Applied Mathematics, National University of Mongolia, Ulaanbaatar, Mongolia;Graduate School of Engineering, Department of Information and Communications Engineering, Inje University, Gimhae, Gyeongnam, South Korea

  • Venue:
  • EURASIP Journal on Wireless Communications and Networking - Special issue on femtocell networks
  • Year:
  • 2010

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Abstract

Cognitive radio and femtocells are recent technology breakthroughs that aim to achieve throughput improvement by means of spectrum management and interference mitigation, respectively. However, these technologies are limited by the former's susceptibility to interference and the latter's dependence on bandwidth availability. In this paper, we overcome these limitations by integrating cognitive radio and femtocell technology and exploring its feasibility and throughput improvement. To realize this, we propose an integrated architecture and formulate a multiobjective optimization problem with mixed integer variables for the joint power control, base station assignment, and channel assignment scheme. In order to find a pareto optimal solution, a weighted sum approach was used. Based on numerical results, the optimization framework is found to be both stable and converging. Simulation studies further show that the proposed architecture and optimization framework improve the aggregate throughput as the client population rises, hence confirming the successful and beneficial integration of these technologies.