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)

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