Distributed power control for multiuser cognitive radio networks with quality of service and interference temperature constraints

One of the most challenging problems in dynamic resource allocation for cognitive radio networks is to adjust transmission power of secondary users (SUs) while quality of service needs of both SUs and primary users (PUs) are guaranteed. Most power control algorithms only consider interference temper...

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Published inWireless communications and mobile computing Vol. 15; no. 14; pp. 1773 - 1783
Main Authors Xu, Yongjun, Zhao, Xiaohui
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Publishing Ltd 10.10.2015
John Wiley & Sons, Inc
Subjects
Algorithms
cognitive radio networks
Computation
distributed power control
Electric power distribution
Exchange
Interference
interference temperature
Networks
Noise
Power control
Quality of service architectures
spectrum underlay
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Abstract One of the most challenging problems in dynamic resource allocation for cognitive radio networks is to adjust transmission power of secondary users (SUs) while quality of service needs of both SUs and primary users (PUs) are guaranteed. Most power control algorithms only consider interference temperature constraint in single user scenario while ignoring the interference from PUs to SUs and minimum signal to interference plus noise ratio (SINR) requirement of SUs. In this paper, a distributed power control algorithm without user cooperation is proposed for multiuser underlay CNRs. Specifically, we focus on maximizing total throughput of SUs subject to both maximum allowable transmission power constraint and SINR constraint, as well as interference temperature constraint. To reduce the burden of information exchange and computational complexity, an average interference constraint is proposed. Parameter range and convergence analysis are given for feasible solutions. The resource allocation is transformed into a convex optimization problem, which is solved by using Lagrange dual method. In computer simulations, the effectiveness of our proposed scheme is shown by comparing with distributed constrained power control algorithm and Nash bargaining power control game algorithm. Copyright © 2014 John Wiley & Sons, Ltd. A distributed power control algorithm is proposed to maximize total throughput of secondary users with constrains on maximum allowable transmission power, signal to interference plus noise ratio of secondary users, and interference temperature of primary users. An average interference constrain is formulated to reduce burden of information exchange. Parameter range and convergence analysis are given.
AbstractList One of the most challenging problems in dynamic resource allocation for cognitive radio networks is to adjust transmission power of secondary users (SUs) while quality of service needs of both SUs and primary users (PUs) are guaranteed. Most power control algorithms only consider interference temperature constraint in single user scenario while ignoring the interference from PUs to SUs and minimum signal to interference plus noise ratio (SINR) requirement of SUs. In this paper, a distributed power control algorithm without user cooperation is proposed for multiuser underlay CNRs. Specifically, we focus on maximizing total throughput of SUs subject to both maximum allowable transmission power constraint and SINR constraint, as well as interference temperature constraint. To reduce the burden of information exchange and computational complexity, an average interference constraint is proposed. Parameter range and convergence analysis are given for feasible solutions. The resource allocation is transformed into a convex optimization problem, which is solved by using Lagrange dual method. In computer simulations, the effectiveness of our proposed scheme is shown by comparing with distributed constrained power control algorithm and Nash bargaining power control game algorithm. Copyright © 2014 John Wiley & Sons, Ltd.
One of the most challenging problems in dynamic resource allocation for cognitive radio networks is to adjust transmission power of secondary users (SUs) while quality of service needs of both SUs and primary users (PUs) are guaranteed. Most power control algorithms only consider interference temperature constraint in single user scenario while ignoring the interference from PUs to SUs and minimum signal to interference plus noise ratio (SINR) requirement of SUs. In this paper, a distributed power control algorithm without user cooperation is proposed for multiuser underlay CNRs. Specifically, we focus on maximizing total throughput of SUs subject to both maximum allowable transmission power constraint and SINR constraint, as well as interference temperature constraint. To reduce the burden of information exchange and computational complexity, an average interference constraint is proposed. Parameter range and convergence analysis are given for feasible solutions. The resource allocation is transformed into a convex optimization problem, which is solved by using Lagrange dual method. In computer simulations, the effectiveness of our proposed scheme is shown by comparing with distributed constrained power control algorithm and Nash bargaining power control game algorithm. A distributed power control algorithm is proposed to maximize total throughput of secondary users with constrains on maximum allowable transmission power, signal to interference plus noise ratio of secondary users, and interference temperature of primary users. An average interference constrain is formulated to reduce burden of information exchange. Parameter range and convergence analysis are given.
One of the most challenging problems in dynamic resource allocation for cognitive radio networks is to adjust transmission power of secondary users (SUs) while quality of service needs of both SUs and primary users (PUs) are guaranteed. Most power control algorithms only consider interference temperature constraint in single user scenario while ignoring the interference from PUs to SUs and minimum signal to interference plus noise ratio (SINR) requirement of SUs. In this paper, a distributed power control algorithm without user cooperation is proposed for multiuser underlay CNRs. Specifically, we focus on maximizing total throughput of SUs subject to both maximum allowable transmission power constraint and SINR constraint, as well as interference temperature constraint. To reduce the burden of information exchange and computational complexity, an average interference constraint is proposed. Parameter range and convergence analysis are given for feasible solutions. The resource allocation is transformed into a convex optimization problem, which is solved by using Lagrange dual method. In computer simulations, the effectiveness of our proposed scheme is shown by comparing with distributed constrained power control algorithm and Nash bargaining power control game algorithm. Copyright © 2014 John Wiley & Sons, Ltd. A distributed power control algorithm is proposed to maximize total throughput of secondary users with constrains on maximum allowable transmission power, signal to interference plus noise ratio of secondary users, and interference temperature of primary users. An average interference constrain is formulated to reduce burden of information exchange. Parameter range and convergence analysis are given.
Author Zhao, Xiaohui
Xu, Yongjun
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  email: Correspondence: Xiaohui Zhao, College of Communication Engineering, Jilin University, Nanhu Road 5372, Changchun City, Jilin Province, China., xhzhao@jlu.edu.cn
  organization: College of Communication Engineering, Jilin University, Changchun, China
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Snippet One of the most challenging problems in dynamic resource allocation for cognitive radio networks is to adjust transmission power of secondary users (SUs) while...
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wiley
istex
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Enrichment Source
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StartPage 1773
SubjectTerms Algorithms
cognitive radio networks
Computation
distributed power control
Electric power distribution
Exchange
Interference
interference temperature
Networks
Noise
Power control
Quality of service architectures
spectrum underlay
Title Distributed power control for multiuser cognitive radio networks with quality of service and interference temperature constraints
URI https://api.istex.fr/ark:/67375/WNG-0GZG137N-F/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fwcm.2466
https://www.proquest.com/docview/1709694158
https://www.proquest.com/docview/1753517009
Volume 15
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