Hayajneh, AM, Zaidi, SAR, McLernon, DC orcid.org/0000-0002-5163-1975 et al. (3 more authors) (2019) Optimal Coverage and Rate in Downlink Cellular Networks: A SIR Meta-Distribution Based Approach. In: Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM). GLOBECOM 2018: IEEE Global Communications Conference, 09-13 Dec 2018, Abu Dhabi, United Arab Emirates. IEEE ISBN 978-1-5386-4727-1
Abstract
In this paper, we present a detailed analysis of the coverage and spectral efficiency of a downlink cellular network. Rather than relying on the first order statistics of received signal-to- interference-ratio (SIR) such as coverage probability, we focus on characterizing its meta- distribution. Our analysis is based on the alpha- beta-gamma (ABG) path-loss model which provides us with the flexibility to analyze urban macro (UMa) and urban micro (UMi) deployments. With the help of an analytical framework, we demonstrate that selection of underlying degrees-of-freedom such as BS height for optimization of first order statistics such as coverage probability is not optimal in the network-wide sense. Consequently, the SIR meta-distribution must be employed to select appropriate operational points which will ensure consistent user experiences across the network. Our design framework reveals that the traditional results which advocate lowering of BS heights or even optimal selection of BS height do not yield consistent service experience across users. By employing the developed framework we also demonstrate how available spectral resources in terms of time slots/channel partitions can be optimized by considering the meta-distribution of the SIR.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. This is an author produced version of a paper published in Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Meta-distribution; Ultra-dense networks; Stochastic geometry; Coverage probability; Radio access planning; Heterogeneous networks |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Funding Information: | Funder Grant number British Council, UK Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Aug 2018 14:56 |
Last Modified: | 08 May 2019 17:48 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/GLOCOM.2018.8648045 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134650 |