Oguejiofor, O orcid.org/0000-0002-4989-8734, Zhang, L and Alhabo, M (2017) Decentralized Resource Allocation for Heterogeneous Cellular Networks. In: 2017 International Symposium on Wireless Communication Systems (ISWCS). 2017 International Symposium on Wireless Communication Systems (ISWCS), 28-31 Aug 2017, Bologna, Italy. IEEE , pp. 158-163. ISBN 978-1-5386-2913-0
Abstract
Heterogeneous Cellular Network (HetNet) is a promising technology for 5th generation mobile networks (5G) that can potentially improve spatial resource reuse and extend coverage, therefore allowing it to achieve significantly higher data rates than single tier networks. However, the performance of HetNet is limited by co-channel (inter-UE, inter-cell) interference. Hence, resource allocation is carefully done in this paper to ensure that the likely loss in achievable data rate due to interference doesn't diminish the gain in the achievable data rate due to higher spatial reuse. The resources which we consider in this paper are the spatial resource (unit-beamformer) and the power resource. We formulate our distributed spatial resource allocation problem as a quadratic optimization problem with non-convex quadratic constraints and solved it by exploiting stationarity karush-Kuhn-Tucker (KKT) conditions. While our proposed power resource allocation scheme is formulated as a convex optimization problem and is solved by exploiting karush-Kuhn-Tucker (KKT) conditions. Simulation results of our proposed method, when compared with other existing methods show significant improvement.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017 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. |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Jul 2017 14:13 |
Last Modified: | 24 Jan 2018 11:57 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ISWCS.2017.8108102 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118548 |