Resource Allocation in Macrocell-femtocell Network Using Genetic Algorithm

Marshoud, H. , Otrok, H., Barada, H., Estrada, R., Jarray, A. and Dziong, Z. (2012) Resource Allocation in Macrocell-femtocell Network Using Genetic Algorithm. In: 2012 IEEE 8th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Barcelona, Spain, 08-10 Oct 2012, pp. 474-479. ISBN 9781467314305 (doi: 10.1109/WiMOB.2012.6379115)

Abstract

In this paper, we consider the problem of resource allocation in two-tier networks taking into consideration nondense femtocell deployments. The following limitations can be remarked from the prior work in the field of resource allocation: (1) resources are underutilized due to the equal power distribution in macrocell, (2) access to public users in femtocells is restricted to avoid depriving own subscribers transmissions, and (3) degradation of signal-to-noise ratio due to noise effects has not been evaluated. To overcome these limitations, we propose a joint power and bandwidth allocation among two tiers together with base station selection using genetic algorithm. Our solution is able to: (1) maximize the overall system throughput, (2) find an appropriate serving base station for each user, and (3) bandwidth and power assigned to each user. Simulations were conducted and a comparison with a Weighted Water Filling algorithm is carried out.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Abumarshoud, Dr Hanaa
• Authors: Marshoud, H., Otrok, H., Barada, H., Estrada, R., Jarray, A., and Dziong, Z.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: International Conference on Wireless and Mobile Computing, Networking and Communications
• ISSN: 2160-4894
• ISBN: 9781467314305

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