Hernandez Aquino, R, Zaidi, SAR, McLernon, D et al. (2 more authors) (2015) Tilt Angle Optimization in Two-Tier Cellular Networks - A Stochastic Geometry Approach. IEEE Transactions on Communications, 63 (12). pp. 5162-5177. ISSN 0090-6778
Abstract
In this work, we address the antenna tilt optimization problem for a two tier cellular network consisting of macrocells and femtocells, where both tiers share the same spectrum and their positions are modelled via two independent Poisson Point Processes (PPPs). First, we derive the coverage probability for a traditional cellular network consisting only of macrocells and obtain the optimum tilt angle that maximises the overall energy efficiency (EE). Gains of up to 400% in EE were found for a scenario (approximately) equivalent to a hexagonal cell deployment with cell radius of 200 m when the optimum tilt was selected. We then proceed to model the Heterogeneous Network (HetNet) scenario where femtocells are also deployed in the network’s area. We observe that the macro users performance is highly sensitive to the interference emanating from the femtocell tier. In order to circumvent this issue, interference coordination by employing a guard zone for the macrocell user is proposed. Subsequently, we formulate a joint optimization problem where we derive both, the radius of a guard zone protecting the macro user and the tilt angle that maximize the EE of the network.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2015, IEEE. 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. |
Keywords: | Energy efficiency, Rayleigh fading, antenna tilt, Poisson point process (PPP) |
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) > Institute of Communication & Power Networks (Leeds) |
Funding Information: | Funder Grant number US Army TACOM W911NF-13-1-0216 |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Sep 2016 11:07 |
Last Modified: | 17 Jan 2018 16:32 |
Published Version: | http://doi.org/10.1109/TCOMM.2015.2485981 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/TCOMM.2015.2485981 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:96391 |