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Dynamic spectrum leasing in cognitive radio networks via primary-secondary user power control games

Published: 01 June 2009 Publication History

Abstract

Hierarchical dynamic spectrum access (DSA) has received the most attention in recent years as the solution for better spectrum utilization. In this paper, on the other hand, we develop a framework for dynamic spectrum leasing (DSL). Power control in hierarchical DSA networks only involves that of controlling secondary user transmissions. Thus, in game theoretic formulations of power control in cognitive DSA networks only secondary users are considered as players of the game. In proposed dynamic spectrum leasing, on the other hand, the primary users are rewarded for allowing secondary users to operate in their licensed spectrum. Thus, in the proposed DSL networks the primary users have an incentive to allow secondary users to access the spectrum whenever possible to the maximum extent. We develop a game theoretic framework for such dynamic spectrum leasing in which primary users actively participate in a non-cooperative game with secondary users by selecting an interference cap on the total interference they willing to tolerate. We establish that the proposed primary-secondary user power control game has a unique Nash equilibrium. Performance of a DSL system based on the proposed game model is compared through simulations under different linear receivers at the secondary base station.

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  • (2017)A Coalitional and Two-Level Game Based Approach for Spectrum Leasing in MIMO Cooperative Cognitive Radio NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4198-z96:1(741-763)Online publication date: 1-Sep-2017
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Information

Published In

cover image IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications  Volume 8, Issue 6
June 2009
574 pages

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IEEE Press

Publication History

Published: 01 June 2009
Accepted: 16 March 2009
Revised: 11 February 2009
Received: 11 September 2008

Author Tags

  1. Cognitive radios
  2. cognitive radios
  3. dynamic spectrum access
  4. dynamic spectrum leasing
  5. dynamic spectrum sharing
  6. game theory
  7. power control

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  • (2021)Energy-Efficient Resource Allocation for 5G Cognitive Radio NOMA Using Game Theory2021 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC49053.2021.9417578(1-5)Online publication date: 29-Mar-2021
  • (2017)Resource Allocation for Underlay Cognitive Radio Networks: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2016.263107919:2(1249-1276)Online publication date: 2-Jun-2017
  • (2017)A Coalitional and Two-Level Game Based Approach for Spectrum Leasing in MIMO Cooperative Cognitive Radio NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4198-z96:1(741-763)Online publication date: 1-Sep-2017
  • (2016)Radio Resource Allocation Techniques for Efficient Spectrum Access in Cognitive Radio NetworksIEEE Communications Surveys & Tutorials10.1109/COMST.2014.236279618:1(824-847)Online publication date: 27-Jan-2016
  • (2016)An optimal pricing scheme to improve transmission opportunities for a mobile virtual network operatorComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2016.02.00499:C(51-65)Online publication date: 22-Apr-2016
  • (2016)Cooperative primary---secondary dynamic spectrum leasing game via decentralized bargainingWireless Networks10.1007/s11276-015-0999-822:3(755-764)Online publication date: 1-Apr-2016
  • (2015)Stackelberg game modeling of pricing for mobile virtual network operatorsProceedings of the 8th International Conference on Mobile Multimedia Communications10.5555/2826112.2826133(105-109)Online publication date: 25-May-2015
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  • (2015)A Cognitive TCP Design for a Cognitive Radio Network with an Unstable-Bandwidth LinkIEEE Transactions on Computers10.1109/TC.2014.237518664:10(2730-3740)Online publication date: 1-Oct-2015
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