Resource allocation in multiuser OFDM based cognitive radio systems

Over the last decade, the number of wireless applications and subscribers has been growing at an explosive pace due to the distinct characteristics of wireless links. Higher spectrum utilization is needed in order to meet the growing demand for spectrums allocated to wireless devices with a high dat...

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Bibliographic Details
Main Author: Dong, Huang
Other Authors: Leung Cyril Sik
Format: Thesis
Language:English
Published: 2011
Subjects:
Online Access:https://hdl.handle.net/10356/46234
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author Dong, Huang
author2 Leung Cyril Sik
author_facet Leung Cyril Sik
Dong, Huang
author_sort Dong, Huang
collection NTU
description Over the last decade, the number of wireless applications and subscribers has been growing at an explosive pace due to the distinct characteristics of wireless links. Higher spectrum utilization is needed in order to meet the growing demand for spectrums allocated to wireless devices with a high data rate and diverse quality of service (QoS) requirements. Cognitive radio (CR) is a novel concept for improving the efficiency of spectrum utilization by allowing secondary users (also referred to as CRUs) to access those frequency bands currently unutilized by the primary users (PUs). All CRUs compete to access the limited unlicensed spectrum in a distributed fashion. In order to achieve a good performance, a CRU is required to have the ability to adapt its transmit parameters (e.g. transmit power and channel) dynamically. In this thesis, we address the resource allocation problems in enabling CR networks (CRNs) with the limited available resources to achieve a good performance, which include optimization, dynamical control and game theory.
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spelling ntu-10356/462342023-03-04T00:41:08Z Resource allocation in multiuser OFDM based cognitive radio systems Dong, Huang Leung Cyril Sik Miao Chun Yan School of Computer Engineering Emerging Research Lab DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio Over the last decade, the number of wireless applications and subscribers has been growing at an explosive pace due to the distinct characteristics of wireless links. Higher spectrum utilization is needed in order to meet the growing demand for spectrums allocated to wireless devices with a high data rate and diverse quality of service (QoS) requirements. Cognitive radio (CR) is a novel concept for improving the efficiency of spectrum utilization by allowing secondary users (also referred to as CRUs) to access those frequency bands currently unutilized by the primary users (PUs). All CRUs compete to access the limited unlicensed spectrum in a distributed fashion. In order to achieve a good performance, a CRU is required to have the ability to adapt its transmit parameters (e.g. transmit power and channel) dynamically. In this thesis, we address the resource allocation problems in enabling CR networks (CRNs) with the limited available resources to achieve a good performance, which include optimization, dynamical control and game theory. DOCTOR OF PHILOSOPHY (SCE) 2011-07-08T03:18:28Z 2011-07-08T03:18:28Z 2010 2010 Thesis Dong, H. (2010). Resource allocation in multiuser OFDM based cognitive radio systems. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/46234 10.32657/10356/46234 en 143 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
Dong, Huang
Resource allocation in multiuser OFDM based cognitive radio systems
title Resource allocation in multiuser OFDM based cognitive radio systems
title_full Resource allocation in multiuser OFDM based cognitive radio systems
title_fullStr Resource allocation in multiuser OFDM based cognitive radio systems
title_full_unstemmed Resource allocation in multiuser OFDM based cognitive radio systems
title_short Resource allocation in multiuser OFDM based cognitive radio systems
title_sort resource allocation in multiuser ofdm based cognitive radio systems
topic DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
url https://hdl.handle.net/10356/46234
work_keys_str_mv AT donghuang resourceallocationinmultiuserofdmbasedcognitiveradiosystems