Oguejiofor, O, Zhang, L and Nawaz, N (2018) UE-Centric Clustering and Resource Allocation for Practical Two-Tier Heterogeneous Cellular Networks. IET Communications, 12 (18). pp. 2384-2392. ISSN 1751-8628
Abstract
Heterogeneous cellular Network (HetNet) has emerged as a promising technology for the 5th generation mobile networks (5G) that can be used to meet the high demand of data rate and better quality of service (QoS) performance. However, the performance of HetNet will depend on how scarce resources such as frequency, time, power and spatial resource are shared among user equipments (UEs) in the system and also how interference is controlled. In this work, we utilize UE-centric clustering as a tool to effectively determine the interfering BSs that cause significant interference to each UE in the network. These interfering BSs together with the serving BSs of these interfered UEs will coordinate and make resource allocation decision together to allocate spatial directions to each UE in the network in order to manage interference in the network. We formulate the resource allocation problem as maximizing the weighted sum-rate of HetNet while fulfilling some power, QoS and interference constraints. This optimization problem is non-convex. We readily split the RA problem into two sub-problems: the spatial direction allocation problem and the power allocation problem respectively. We are able to solve these problems efficiently using SeDumi, which provides a general purpose implementation of interior point methods. Simulation results of our proposed method, when compared with the other existing methods, show significant improvement.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) The Institute of Engineering and Technology 2018. This is an author produced version of a paper published in IET Communications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | CoMP CB, convex optimization, HetNet, resource allocation , power allocation |
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: | 01 Oct 2018 15:39 |
Last Modified: | 05 Feb 2019 11:25 |
Status: | Published |
Publisher: | Institute of Engineering and Technology |
Identification Number: | 10.1049/iet-com.2018.5422 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136362 |