A self-organized resource allocation scheme for heterogeneous macro-femto networks

Mehta, M., Rane, N., Karandikar, A., Imran, M. A. and Evans, B. G. (2016) A self-organized resource allocation scheme for heterogeneous macro-femto networks. Wireless Communications and Mobile Computing, 16(3), pp. 330-342. (doi:10.1002/wcm.2518)

136075.pdf - Accepted Version



This paper investigates the radio resource management (RRM) issues in a heterogeneous macro-femto network. The objective of femto deployment is to improve coverage, capacity, and experienced quality of service of indoor users. The location and density of user-deployed femtos is not known a-priori. This makes interference management crucial. In particular, with co-channel allocation (to improve resource utilization efficiency), RRM becomes involved because of both cross-layer and co-layer interference. In this paper, we review the resource allocation strategies available in the literature for heterogeneous macro-femto network. Then, we propose a self-organized resource allocation (SO-RA) scheme for an orthogonal frequency division multiple access based macro-femto network to mitigate co-layer interference in the downlink transmission. We compare its performance with the existing schemes like Reuse-1, adaptive frequency reuse (AFR), and AFR with power control (one of our proposed modification to AFR approach) in terms of 10 percentile user throughput and fairness to femto users. The performance of AFR with power control scheme matches closely with Reuse-1, while the SO-RA scheme achieves improved throughput and fairness performance. SO-RA scheme ensures minimum throughput guarantee to all femto users and exhibits better performance than the existing state-of-the-art resource allocation schemes.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Mehta, M., Rane, N., Karandikar, A., Imran, M. A., and Evans, B. G.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Wireless Communications and Mobile Computing
ISSN (Online):1530-8677
Published Online:19 August 2014
Copyright Holders:Copyright © 2014 John Wiley and Sons, Ltd.
First Published:First published in Wireless Communications and Mobile Computing 16(3): 330-342
Publisher Policy:Reproduced in accordance with the publisher copyright policy

University Staff: Request a correction | Enlighten Editors: Update this record