Dynamic resource allocation for cognitive radio

Cognitive radio (CR) has been recognized as an effective way to improve the spectrum utilization by allowing unlicensed secondary users (SUs) to coexist either opportunistically or concurrently with the licensed primary users (PUs). Two models of CR operation have attracted most attention, namely, o...

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Main Author: Pei, Yiyang
Other Authors: Li Kwok Hung
Format: Theses and Dissertations
Language:English
Published: 2012
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Online Access:https://hdl.handle.net/10356/50648
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-506482023-07-04T17:09:12Z Dynamic resource allocation for cognitive radio Pei, Yiyang Li Kwok Hung Liang Ying Chang Teh Kah Chan School of Electrical and Electronic Engineering A*STAR Institute for Infocomm Research Positioning and Wireless Technology Centre DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Cognitive radio (CR) has been recognized as an effective way to improve the spectrum utilization by allowing unlicensed secondary users (SUs) to coexist either opportunistically or concurrently with the licensed primary users (PUs). Two models of CR operation have attracted most attention, namely, opportunistic spectrum access (OSA) and spectrum sharing. While the former allows only opportunistic transmission of the SUs through spectrum sensing, the latter one permits concurrent transmission by imposing the interference power constraint. In both models, SUs have to strike a balance between optimizing its own performance and maintaining sufficient protection to the PUs. Therefore, efficient resource allocation methods need to be investigated to balance this tradeoff. In this thesis, two major resource allocation problems are studied, namely, sensing-access design in the OSA model and secure transmission in the spectrum sharing model. In the OSA model, the thesis investigates the sensing-access design which aims to balance the intrinsic tradeoffs between the sensing requirement to protect the PUs and the access need to improve the SUs' own performance under two different multi-channel sensing schemes. Specifically, for the case of parallel channel sensing where an SU can sense multiple channels simultaneously, the sensing-access design includes the sensing strategy specifying the optimal sensing time and the access strategy determining the optimal power level upon transmission. The objective is to maximize the sum achievable throughput under the sum transmit power constraint such that the PUs are well protected on each channel by a fixed probability of detection constraint. For the case of sequential channel sensing where an SU can sequentially sense the channels one at a time, the sensing-access design includes the sensing strategy determining when to stop sensing and start transmission, the access strategy specifying the transmit power level upon transmission, and the sensing order design telling the SU which channel to sense next if the current channel is given up for transmission. The objective is to maximize the energy efficiency of the sequential channel sensing process such that the PU is sufficiently protected under a fixed probability of detection constraint. In both schemes, we derive the structures of the optimal sensing-access strategies and propose efficient algorithms to compute the optimal solutions. DOCTOR OF PHILOSOPHY (EEE) 2012-08-22T08:49:27Z 2012-08-22T08:49:27Z 2011 2011 Thesis Pei, Y. (2011). Dynamic resource allocation for cognitive radio. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/50648 10.32657/10356/50648 en 215 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Pei, Yiyang
Dynamic resource allocation for cognitive radio
description Cognitive radio (CR) has been recognized as an effective way to improve the spectrum utilization by allowing unlicensed secondary users (SUs) to coexist either opportunistically or concurrently with the licensed primary users (PUs). Two models of CR operation have attracted most attention, namely, opportunistic spectrum access (OSA) and spectrum sharing. While the former allows only opportunistic transmission of the SUs through spectrum sensing, the latter one permits concurrent transmission by imposing the interference power constraint. In both models, SUs have to strike a balance between optimizing its own performance and maintaining sufficient protection to the PUs. Therefore, efficient resource allocation methods need to be investigated to balance this tradeoff. In this thesis, two major resource allocation problems are studied, namely, sensing-access design in the OSA model and secure transmission in the spectrum sharing model. In the OSA model, the thesis investigates the sensing-access design which aims to balance the intrinsic tradeoffs between the sensing requirement to protect the PUs and the access need to improve the SUs' own performance under two different multi-channel sensing schemes. Specifically, for the case of parallel channel sensing where an SU can sense multiple channels simultaneously, the sensing-access design includes the sensing strategy specifying the optimal sensing time and the access strategy determining the optimal power level upon transmission. The objective is to maximize the sum achievable throughput under the sum transmit power constraint such that the PUs are well protected on each channel by a fixed probability of detection constraint. For the case of sequential channel sensing where an SU can sequentially sense the channels one at a time, the sensing-access design includes the sensing strategy determining when to stop sensing and start transmission, the access strategy specifying the transmit power level upon transmission, and the sensing order design telling the SU which channel to sense next if the current channel is given up for transmission. The objective is to maximize the energy efficiency of the sequential channel sensing process such that the PU is sufficiently protected under a fixed probability of detection constraint. In both schemes, we derive the structures of the optimal sensing-access strategies and propose efficient algorithms to compute the optimal solutions.
author2 Li Kwok Hung
author_facet Li Kwok Hung
Pei, Yiyang
format Theses and Dissertations
author Pei, Yiyang
author_sort Pei, Yiyang
title Dynamic resource allocation for cognitive radio
title_short Dynamic resource allocation for cognitive radio
title_full Dynamic resource allocation for cognitive radio
title_fullStr Dynamic resource allocation for cognitive radio
title_full_unstemmed Dynamic resource allocation for cognitive radio
title_sort dynamic resource allocation for cognitive radio
publishDate 2012
url https://hdl.handle.net/10356/50648
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