Oguejiofor, OS and Zhang, LX (2016) Global Optimization of Weighted Sum-Rate for Downlink Heterogeneous Cellular Networks. In: Telecommunications (ICT), 2016 23rd International Conference on. 2016 23rd International Conference on Telecommunications (ICT), 16-18 May 2016, Thessaloniki, Greece. IEEE ISBN 978-1-5090-1990-8
Abstract
It is envisioned that Heterogeneous cellular network is key technology in 5G that can be used to meet the ever increasing demand of data rate. The most critical problem of HetNet is interference. One of our objectives is to design beamformers to mitigate interference and achieve the maximum throughput while satisfying some power and interference constraints. In this paper we are able to determine the global solution of the non-convex NP-hard weighted sum-rate problem using branch and bound method. It involves searching for the best individual rates among many feasible rates achievable in the system that maximizes the weighted sum-rate of the system while fulfilling the power and interference constraints. Results obtained show that our proposed method outperformed other methods such as egoistic beamforming method and the relaxed convex optimization heuristic method which produces sub-optimal solution to the original non-convex problem.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 IEEE. 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. |
Keywords: | Array signal processing; Optimization; Telecommunications; Interference constraints; Upper bound; Quality of service |
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: | 04 Nov 2016 15:50 |
Last Modified: | 16 Jan 2018 01:36 |
Published Version: | http://doi.org/10.1109/ICT.2016.7500345 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICT.2016.7500345 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:98317 |