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Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems

Includes bibliographical references.

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Bibliographic Details
Main Author: Isaac, Bernard Nyakundi
Other Authors: Dlodlo, Mqhele E
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Isaac, Bernard Nyakundi
author2 Dlodlo, Mqhele E
author_browse Dlodlo, Mqhele E
Isaac, Bernard Nyakundi
author_facet Dlodlo, Mqhele E
Isaac, Bernard Nyakundi
author_sort Isaac, Bernard Nyakundi
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/9606
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:36.207Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/9606 Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems Isaac, Bernard Nyakundi Dlodlo, Mqhele E Includes bibliographical references. Due to its superior characteristics that make it suitable for high speed mobile wireless systems OFDMA has been adopted by next generation broadband wireless standards including Worldwide Interoperability for Microwave Access (WiMAX) and Long Term Evolution – Advanced (LTE-A). Intelligent and adaptive Radio Resource Management (RRM) schemes are a fundamental tool in the design of wireless systems to be able to fully and efficiently utilize the available scarce resources and be able to meet the user data rates and QoS requirements. Previous works were only concerned with maximizing system efficiency and thus used opportunistic algorithms that allocate resources to users with the best opportunities to optimize system capacity. Thus, only those users with good channel conditions were considered for resource allocation and users in bad channel conditions were left out to starve of resources. The main objective of our study is to design adaptive radio resource allocation (RRA) algorithms that distribute the scarce resources more fairly among network users while efficiently using the resources to maximize system throughput. Four scheduling algorithms have been formulated and analysed based on fairness, throughputs and delay. This was done for users demanding different services and QoS requirements. Two of the scheduling algorithms, Maximum Sum Rate (MSR) and Round Robin (RR) are used respectively, as references to analyze throughput and fairness among network users. The other two algorithms are Proportional Fair Scheduling (PFS) and Margin Adaptive Scheduling Scheme (MASS). 2014-11-14T19:44:16Z 2014-11-14T19:44:16Z 2014 Master Thesis Masters MSc http://hdl.handle.net/11427/9606 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Isaac, Bernard Nyakundi
Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems
thesis_degree_str Master's
title Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems
title_full Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems
title_fullStr Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems
title_full_unstemmed Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems
title_short Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems
title_sort adaptive radio resource management schemes for the downlink of the ofdma based wireless communication systems
url http://hdl.handle.net/11427/9606
work_keys_str_mv AT isaacbernardnyakundi adaptiveradioresourcemanagementschemesforthedownlinkoftheofdmabasedwirelesscommunicationsystems