An optimal scheduling framework for concurrent transmissions in wireless cognitive radio networks

This paper investigates the problem of optimal scheduling for cognitive radio network links in order to maximize the aggregated cognitive radio network throughput. The problem is formulated as an integer linear programming (ILP) problem, which schedules cognitive radio links to maximize the aggregat...

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Published inTelecommunication systems Vol. 60; no. 1; pp. 169 - 177
Main Authors Jalaeian, Borhan (Brian), Zhu, Rongbo, Motani, Mehul
Format Journal Article
LanguageEnglish
Published New York Springer US 01.09.2015
Springer Nature B.V
Subjects
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ISSN1018-4864
1572-9451
DOI10.1007/s11235-014-9931-2

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Abstract This paper investigates the problem of optimal scheduling for cognitive radio network links in order to maximize the aggregated cognitive radio network throughput. The problem is formulated as an integer linear programming (ILP) problem, which schedules cognitive radio links to maximize the aggregated network throughput subject to primary and cognitive network protection. The proposed model is capable of scheduling multiple concurrent cognitive radio links which can coexist with a set of primary links. This approach can significantly increase the aggregated network throughput and utilize the spectrum more efficiently by utilizing user location information. The ILP problem is optimally solved for specific network scenarios and numerical results are presented.
AbstractList This paper investigates the problem of optimal scheduling for cognitive radio network links in order to maximize the aggregated cognitive radio network throughput. The problem is formulated as an integer linear programming (ILP) problem, which schedules cognitive radio links to maximize the aggregated network throughput subject to primary and cognitive network protection. The proposed model is capable of scheduling multiple concurrent cognitive radio links which can coexist with a set of primary links. This approach can significantly increase the aggregated network throughput and utilize the spectrum more efficiently by utilizing user location information. The ILP problem is optimally solved for specific network scenarios and numerical results are presented.
Author Motani, Mehul
Zhu, Rongbo
Jalaeian, Borhan (Brian)
Author_xml – sequence: 1
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  organization: The Bradley Department of Electrical and Computer Engineering, Blacksburg
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  givenname: Rongbo
  surname: Zhu
  fullname: Zhu, Rongbo
  organization: College of Computer Science, South-Central University for Nationalities
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  givenname: Mehul
  surname: Motani
  fullname: Motani, Mehul
  email: motani@nus.edu.sg
  organization: Electrical and Computer Engineering Department, National University of Singapore
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crossref_primary_10_1002_wcm_2677
crossref_primary_10_3390_s17010175
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Cognitive radio network
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Snippet This paper investigates the problem of optimal scheduling for cognitive radio network links in order to maximize the aggregated cognitive radio network...
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SubjectTerms Analysis
Artificial Intelligence
Business and Management
Cognitive radio
Communication
Computer Communication Networks
Computer engineering
Control algorithms
Cooperation
Design engineering
Integer programming
Intelligent systems
IT in Business
Licenses
Linear programming
Links
Mathematical models
Network management systems
Networks
Optimization
Probability Theory and Stochastic Processes
Radio communications
Radio networks
Receivers & amplifiers
Scheduling
Studies
Telecommunications systems
Wireless networks
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Title An optimal scheduling framework for concurrent transmissions in wireless cognitive radio networks
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