Adaptive and efficient resource management for emerging wireless networks

Recent unprecedented growth in the wireless market has forced network operators to find new techniques to reduce the operating costs, increase data rates, improve the spectrum utilization and reduce the energy consumption of various network elements. To overcome these challenges, opportunistic spect...

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Main Author: Hashmi, Ziaul Hasan
Language:English
Published: University of British Columbia 2013
Online Access:http://hdl.handle.net/2429/44130
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spelling ndltd-UBC-oai-circle.library.ubc.ca-2429-441302018-01-05T17:26:28Z Adaptive and efficient resource management for emerging wireless networks Hashmi, Ziaul Hasan Recent unprecedented growth in the wireless market has forced network operators to find new techniques to reduce the operating costs, increase data rates, improve the spectrum utilization and reduce the energy consumption of various network elements. To overcome these challenges, opportunistic spectrum access through cognitive radios and relay-based cooperative communications have emerged as a new communication paradigm. However, to make these technologies practical, various resource management techniques must be optimized. Furthermore, we also need to explore the energy efficiency of these next generation wireless systems and identify key research issues and challenges in order to achieve sustainable "green" communication networks. In this thesis, we design efficient resource allocation techniques for cognitive and cooperative networks and explore the energy efficiency of these systems. First, we study a capacity-maximizing power allocation problem in orthogonal frequency-division multiplexing (OFDM) based cognitive radio system while considering the allowed interference limits. We resort to an energy-aware capacity expression taking into account subcarrier availability and propose several suboptimal schemes that perform at a level close to that of optimal schemes. Second, we explore joint power and subcarrier allocation algorithms and fairness for OFDMA-based multiuser cooperative wireless systems. We challenge the traditional view of relaying algorithms by relaying only if it is beneficial. We state the problem in the form of a capacity-maximizing integer programming optimization problem and propose a heuristic solution. Next, we study the problem of relay selection in a cooperative network where regular mobile nodes could act as relays and cooperate if provided with incentives to do so. Using concepts from economics of asymmetric information, we propose incentive compatible schemes for relays and suggest a low-complexity heuristic relay selection scheme. Finally, we investigate the energy efficiency of the next generation wireless systems and present a short summary of methods and techniques to improve the energy efficiency of cellular networks. We also describe some important research issues and examine the major challenges to reduce the energy consumption of the cognitive and cooperative based emerging wireless networks. In concluding remarks, we also give some future research directions towards which the research in this thesis could lead. Applied Science, Faculty of Electrical and Computer Engineering, Department of Graduate 2013-04-04T14:23:02Z 2013-04-05T09:09:51Z 2013 2013-05 Text Thesis/Dissertation http://hdl.handle.net/2429/44130 eng Attribution 3.0 Unported http://creativecommons.org/licenses/by/3.0/ University of British Columbia
collection NDLTD
language English
sources NDLTD
description Recent unprecedented growth in the wireless market has forced network operators to find new techniques to reduce the operating costs, increase data rates, improve the spectrum utilization and reduce the energy consumption of various network elements. To overcome these challenges, opportunistic spectrum access through cognitive radios and relay-based cooperative communications have emerged as a new communication paradigm. However, to make these technologies practical, various resource management techniques must be optimized. Furthermore, we also need to explore the energy efficiency of these next generation wireless systems and identify key research issues and challenges in order to achieve sustainable "green" communication networks. In this thesis, we design efficient resource allocation techniques for cognitive and cooperative networks and explore the energy efficiency of these systems. First, we study a capacity-maximizing power allocation problem in orthogonal frequency-division multiplexing (OFDM) based cognitive radio system while considering the allowed interference limits. We resort to an energy-aware capacity expression taking into account subcarrier availability and propose several suboptimal schemes that perform at a level close to that of optimal schemes. Second, we explore joint power and subcarrier allocation algorithms and fairness for OFDMA-based multiuser cooperative wireless systems. We challenge the traditional view of relaying algorithms by relaying only if it is beneficial. We state the problem in the form of a capacity-maximizing integer programming optimization problem and propose a heuristic solution. Next, we study the problem of relay selection in a cooperative network where regular mobile nodes could act as relays and cooperate if provided with incentives to do so. Using concepts from economics of asymmetric information, we propose incentive compatible schemes for relays and suggest a low-complexity heuristic relay selection scheme. Finally, we investigate the energy efficiency of the next generation wireless systems and present a short summary of methods and techniques to improve the energy efficiency of cellular networks. We also describe some important research issues and examine the major challenges to reduce the energy consumption of the cognitive and cooperative based emerging wireless networks. In concluding remarks, we also give some future research directions towards which the research in this thesis could lead. === Applied Science, Faculty of === Electrical and Computer Engineering, Department of === Graduate
author Hashmi, Ziaul Hasan
spellingShingle Hashmi, Ziaul Hasan
Adaptive and efficient resource management for emerging wireless networks
author_facet Hashmi, Ziaul Hasan
author_sort Hashmi, Ziaul Hasan
title Adaptive and efficient resource management for emerging wireless networks
title_short Adaptive and efficient resource management for emerging wireless networks
title_full Adaptive and efficient resource management for emerging wireless networks
title_fullStr Adaptive and efficient resource management for emerging wireless networks
title_full_unstemmed Adaptive and efficient resource management for emerging wireless networks
title_sort adaptive and efficient resource management for emerging wireless networks
publisher University of British Columbia
publishDate 2013
url http://hdl.handle.net/2429/44130
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