Information Theoretic Capacity of the Cellular Uplink - Average Path Loss Approximation

Katranaras, E., Imran, M.A. and Tzaras, C. (2008) Information Theoretic Capacity of the Cellular Uplink - Average Path Loss Approximation. In: 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications, Recife, Brazil, 06-09 Jul 2008, pp. 605-609. ISBN 9781424420452 (doi:10.1109/SPAWC.2008.4641679)

Katranaras, E., Imran, M.A. and Tzaras, C. (2008) Information Theoretic Capacity of the Cellular Uplink - Average Path Loss Approximation. In: 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications, Recife, Brazil, 06-09 Jul 2008, pp. 605-609. ISBN 9781424420452 (doi:10.1109/SPAWC.2008.4641679)

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Abstract

In this paper we investigate the information theoretic capacity of the uplink of a cellular system where all base station receivers jointly decode the received signals (ldquohyper-receiverrdquo). Considering a distance depended power-law path loss and a more realistic Rician fading environment, we model a variable cell density network with geographically distributed user terminals. Multiple tiers of interference are considered and using an average path loss approximation model the analytical result for the per cell sum-rate capacity is found. We examine the various parameters that are affecting the capacity of the system. Especially the effect of the user distribution across the cells and the density of the cells in the cellular system is investigated. We validate the numerical solutions with Monte Carlo simulations for random fading realizations and we interpret the results for the real-world systems.

Item Type:Conference Proceedings
Additional Information:This research has been funded by the following Industrial Companies who are Members of Mobile VCE - BBC, BT, Huawei, Nokia, Nokia Siemens Networks, Nortel, Vodafone.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Katranaras, E., Imran, M.A., and Tzaras, C.
College/School:College of Science and Engineering > School of Engineering
ISSN:1948-3244
ISBN:9781424420452
Published Online:10 October 2008

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