Coverage, capacity and energy efficiency analysis in the uplink of mmWave cellular networks

Onireti, O., Imran, A. and Imran, M. A. (2018) Coverage, capacity and energy efficiency analysis in the uplink of mmWave cellular networks. IEEE Transactions on Vehicular Technology, 67(5), pp. 3982-3997. (doi:10.1109/TVT.2017.2775520)

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Abstract

In this paper, using the concept of stochastic geometry, we present an analytical framework to evaluate the signal-to-interference-and-noise-ratio (SINR) coverage in the uplink of millimeter wave cellular networks. By using a distance-dependent line-of-sight (LOS) probability function, the location of LOS and non-LOS users are modeled as two independent non-homogeneous Poisson point processes, with each having a different pathloss exponent. The analysis takes account of per-user fractional power control (FPC), which couples the transmission of users based on location-dependent channel inversion. We consider the following scenarios in our analysis: 1) Pathloss-based FPC (PL-FPC) which is performed using the measured pathloss and 2) Distance-based FPC (D-FPC) which is performed using the measured distance. Using the developed framework, we derive expressions for the area spectral efficiency and energy efficiency. Results suggest that in terms of SINR coverage, D-FPC outperforms PL-FPC scheme at high SINR where the future networks are expected to operate. It achieves equal or better area spectral efficiency and energy efficiency compared with the PL-FPC scheme. Contrary to the conventional ultra-high frequency cellular networks, in both FPC schemes, the SINR coverage decreases as the cell density becomes greater than a threshold, while the area spectral efficiency experiences a slow growth region.

Item Type:Articles
Additional Information:Funding from EP/P028764/1 held to University of Surrey.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Onireti, Oluwakayode
Authors: Onireti, O., Imran, A., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Transactions on Vehicular Technology
Publisher:IEEE
ISSN:0018-9545
ISSN (Online):1939-9359
Published Online:08 December 2017
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in IEEE Transactions on Vehicular Technology 67(5):3982-3997
Publisher Policy:Reproduced under a Creative Commons License

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