Spatial and social paradigms for interference and coverage analysis in underlay D2D network

Mustafa, H. A., Shakir, M. Z., Imran, M. A. and Tafazolli, R. (2017) Spatial and social paradigms for interference and coverage analysis in underlay D2D network. IEEE Transactions on Vehicular Technology, 66(10), pp. 9328-9337. (doi:10.1109/TVT.2017.2699620)

139994.pdf - Accepted Version



The homogeneous Poisson point process (PPP) is widely used to model spatial distribution of base stations and mobile terminals. The same process can be used to model underlay device-to-device (D2D) network, however, neglecting homophilic relation for D2D pairing presents underestimated system insights. In this paper, we model both spatial and social distributions of interfering D2D nodes as proximity based independently marked homogeneous Poisson point process. The proximity considers physical distance between D2D nodes whereas social relationship is modeled as Zipf based marks. We apply these two paradigms to analyze the effect of interference on coverage probability of distance-proportional power-controlled cellular user. Effectively, we apply two type of functional mappings (physical distance, social marks) to Laplace functional of PPP. The resulting coverage probability has no closed-form expression, however for a subset of social marks, the mark summation converges to digamma and polygamma functions. This subset constitutes the upper and lower bounds on coverage probability. We present numerical evaluation of these bounds on coverage probability by varying number of different parameters. The results show that by imparting simple power control on cellular user, ultra-dense underlay D2D network can be realized without compromising the coverage probability of cellular user.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Mustafa, H. A., Shakir, M. Z., Imran, M. A., and Tafazolli, R.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Transactions on Vehicular Technology
ISSN (Online):1939-9359
Published Online:28 April 2017
Copyright Holders:Copyright © 2017 IEEE
First Published:First published in IEEE Transactions on Vehicular Technology 66(10):9328-9337
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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