Resource allocation for OFDMA-based cognitive radio networks with application to H.264 scalable video transmission

MZ Bocus; JP Coon; CN Canagarajah; JP McGeehan; SMD Armour; A Doufexi

doi:10.1155/2011/245673

Resource allocation for OFDMA-based cognitive radio networks with application to H.264 scalable video transmission

MZ Bocus, JP Coon, CN Canagarajah, JP McGeehan, SMD Armour, A Doufexi

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Abstract

Resource allocation schemes for orthogonal frequency division multiple access- (OFDMA-) based cognitive radio (CR) networks that impose minimum and maximum rate constraints are considered. To demonstrate the practical application of such systems, we consider the transmission of scalable video sequences. An integer programming (IP) formulation of the problem is presented, which provides the optimal solution when solved using common discrete programming methods. Due to the computational complexity involved in such an approach and its unsuitability for dynamic cognitive radio environments, we propose to use the method of lift-and-project to obtain a stronger formulation for the resource allocation problem such that the integrality gap between the integer program and its linear relaxation is reduced. A simple branching operation is then performed that eliminates any noninteger values at the output of the linear program solvers. Simulation results demonstrate that this simple technique results in solutions very close to the optimum.

Translated title of the contribution	Resource allocation for OFDMA-based cognitive radio networks with application to H.264 scalable video transmission
Original language	English
Article number	245673
Number of pages	10
Journal	EURASIP Journal on Wireless Communications and Networking
Volume	2011
DOIs	https://doi.org/10.1155/2011/245673
Publication status	Published - 15 Mar 2011

Bibliographical note

Publisher: Hindawi
Rose publication type: Journal article

Sponsorship: The authors would like to thank the directors at Toshiba TRL and the Centre for Communications Research, Bristol, for their continued support.

Terms of use: Copyright © 2011 Mohammud Z. Bocus et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords

cognitive radio networks
H.264 scalable video transmission
resource allocation
orthogonal frequency division multiple access- (OFDMA-)

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Bocus Eurasip wireless comms & networking 2011Accepted author manuscript, 1.42 MB

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title = "Resource allocation for OFDMA-based cognitive radio networks with application to H.264 scalable video transmission",

abstract = "Resource allocation schemes for orthogonal frequency division multiple access- (OFDMA-) based cognitive radio (CR) networks that impose minimum and maximum rate constraints are considered. To demonstrate the practical application of such systems, we consider the transmission of scalable video sequences. An integer programming (IP) formulation of the problem is presented, which provides the optimal solution when solved using common discrete programming methods. Due to the computational complexity involved in such an approach and its unsuitability for dynamic cognitive radio environments, we propose to use the method of lift-and-project to obtain a stronger formulation for the resource allocation problem such that the integrality gap between the integer program and its linear relaxation is reduced. A simple branching operation is then performed that eliminates any noninteger values at the output of the linear program solvers. Simulation results demonstrate that this simple technique results in solutions very close to the optimum.",

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AU - Canagarajah, CN

AU - McGeehan, JP

AU - Armour, SMD

AU - Doufexi, A

N1 - Publisher: Hindawi Rose publication type: Journal article Sponsorship: The authors would like to thank the directors at Toshiba TRL and the Centre for Communications Research, Bristol, for their continued support. Terms of use: Copyright © 2011 Mohammud Z. Bocus et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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N2 - Resource allocation schemes for orthogonal frequency division multiple access- (OFDMA-) based cognitive radio (CR) networks that impose minimum and maximum rate constraints are considered. To demonstrate the practical application of such systems, we consider the transmission of scalable video sequences. An integer programming (IP) formulation of the problem is presented, which provides the optimal solution when solved using common discrete programming methods. Due to the computational complexity involved in such an approach and its unsuitability for dynamic cognitive radio environments, we propose to use the method of lift-and-project to obtain a stronger formulation for the resource allocation problem such that the integrality gap between the integer program and its linear relaxation is reduced. A simple branching operation is then performed that eliminates any noninteger values at the output of the linear program solvers. Simulation results demonstrate that this simple technique results in solutions very close to the optimum.

AB - Resource allocation schemes for orthogonal frequency division multiple access- (OFDMA-) based cognitive radio (CR) networks that impose minimum and maximum rate constraints are considered. To demonstrate the practical application of such systems, we consider the transmission of scalable video sequences. An integer programming (IP) formulation of the problem is presented, which provides the optimal solution when solved using common discrete programming methods. Due to the computational complexity involved in such an approach and its unsuitability for dynamic cognitive radio environments, we propose to use the method of lift-and-project to obtain a stronger formulation for the resource allocation problem such that the integrality gap between the integer program and its linear relaxation is reduced. A simple branching operation is then performed that eliminates any noninteger values at the output of the linear program solvers. Simulation results demonstrate that this simple technique results in solutions very close to the optimum.

KW - cognitive radio networks

KW - H.264 scalable video transmission

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M3 - Article (Academic Journal)

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M1 - 245673

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Resource allocation for OFDMA-based cognitive radio networks with application to H.264 scalable video transmission

Abstract

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Keywords

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