Oguejiofor, O orcid.org/0000-0002-4989-8734, Zhang, L and Nawaz, N (2017) Resource Allocation for Practical Two-Tier Heterogeneous Cellular Networks. In: Proceedings of European Wireless 2017. 23th European Wireless Conference, 17-19 May 2017, Dresden, Germany. VDE , pp. 161-166. ISBN 978-3-8007-4426-8
Abstract
Heterogeneous cellular Network (HetNet) has emerged as a promising technology for 5G that can be used to meet high demand of data rate and better quality of service (QoS) performance. However, the performance of HetNet will depend on how the scarce resources such as frequency, time, power and spatial resource are shared among UEs in the system and also how interference is controlled. In this work, we mainly consider how the powers and spatial directions (normalized beamforming vectors) are shared among UEs. We formulate our spatial resource allocation problem as maximizing the weighted sumrate of HetNet while fulfilling some power, QoS and interference constraints. This optimization problem is NP-hard and nonconvex. We reformulate it into a convex feasibility problem and solve using SeDumi. Our proposed power resource allocation problem is formulated as maximizing the sum-rate of each cell while satisfying the minimum QoE1 of each UE. This problem is convex and therefore can be solved efficiently using CVX (a package for specifying and solving convex programs). 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: | © VDE Verlag GmbH. This is an author produced version of a paper published in the Proceedings of European Wireless 2017. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components 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) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Apr 2017 10:20 |
Last Modified: | 21 Nov 2017 17:04 |
Published Version: | http://ieeexplore.ieee.org/document/8011309/ |
Status: | Published |
Publisher: | VDE |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114970 |