Truncated Channel Inversion Power Control for the Uplink of mmWave Cellular Networks

Onireti, O. and Imran, M. A. (2018) Truncated Channel Inversion Power Control for the Uplink of mmWave Cellular Networks. In: 10th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2018), Sheffield, UK, 8-11 July 2018, pp. 75-79. ISBN 9781538647530 (doi:10.1109/SAM.2018.8448753)

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Abstract

In this paper, using the stochastic geometry, we develop a tractable uplink modeling paradigm for the outage probability of millimeter wave (mmWave) cellular networks. Our model takes account of the maximum power limitation and the per-user equipment (UE) power control as well as the effect of blockages. More specifically, each UE, which could be in line-ofsight (LOS) or non-LOS to its serving base station (BS), controls its transmit power such that the received signal power at its serving BS is equal to a predefined threshold. Hence, a truncated channel inversion power control is implemented for the uplink of the mmWave cellular network. We derive expressions for the truncated outage probability and the signal-to-interferenceand- noise-ratio (SINR) outage probability for the uplink of mmWave cellular networks. Our results show that contrary to the conventional ultra-high-frequency (UHF) networks there exists a slow growth region for the truncated outage probability.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Onireti, Oluwakayode and Imran, Professor Muhammad
Authors: Onireti, O., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
ISSN:2151-870X
ISBN:9781538647530
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3007250Distributed Autonomous Resilient Emergency Management System (DARE)Muhammad ImranEngineering and Physical Sciences Research Council (EPSRC)EP/P028764/1ENG - Systems Power & Energy