Wireless backhaul: performance modelling and impact on user association for 5G

Jaber, M., Lopez-Martinez, F. J., Imran, M. A. , Sutton, A., Tukmanov, A. and Tafazolli, R. (2018) Wireless backhaul: performance modelling and impact on user association for 5G. IEEE Transactions on Wireless Communications, 17(5), pp. 3095-3110. (doi: 10.1109/TWC.2018.2806456)

Abstract

Wireless technology is the strongest contender for catering for the 5G backhaul stipulated performance where optical fibre is unavailable. In the presence of ultra-dense networks, such occurrences are exponentially increasing and different wireless technologies are investigated for this application. We present the first backhaul-specific wireless link performance modelling that considers its inherent line-of-sight nature, together with an appropriate representation of the network topology using stochastic geometry. To this end, novel tractable models are obtained to capture the performance of wireless backhaul links. These are integrated into a multi-hop hybrid backhaul performance modelling framework and are applied in the analysis of a backhaul-aware user association optimisation problem.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad
• Authors: Jaber, M., Lopez-Martinez, F. J., Imran, M. A., Sutton, A., Tukmanov, A., and Tafazolli, R.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: IEEE Transactions on Wireless Communications
• Publisher: IEEE
• ISSN: 1536-1276
• ISSN (Online): 1558-2248
• Published Online: 22 February 2018
• Copyright Holders: Copyright © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
• First Published: First published in IEEE Transactions on Wireless Communications 17(5):3095-3110
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher