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Cooperative Cognitive Radio NetworkingOptimal Communication Strategies in Cooperative Cognitive Radio Networking

Cooperative Cognitive Radio Networking: Optimal Communication Strategies in Cooperative Cognitive... [This chapter is concerned with enhancement of spectrum utilization whereby a licensed primary user (PU) engages unlicensed secondary users (SUs) to relay its transmission in an energy-aware cognitive radio network to expedite information transfer. The cooperation can be pure relaying or provide diversity transmissions using an amplify-and-forward or decode-and-forward mode. In a cooperative cognitive radio network (CCRN), the individual cooperating partner attempts to maximize its own utility. The energy-aware partner selection and parameter optimization process, led by the PU, is formulated as two Stackelberg games, namely a sum-constrained power allocation game for two-phase and a power control game for three-phase cooperation, respectively. Unique Nash Equilibrium is proved and achieved in analytical format for each game. The optimal communication strategy is chosen which achieves the maximum PU utility among different optimal communication strategies. Moreover, an implementation scheme is presented to perform the partner selection and parameter optimization based on the analytical results. Theoretical analysis and performance evaluation show that the proposed CCRN model is a promising framework under which the PU’s utility is maximized, while the relaying SUs can attain acceptable utilities.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Cooperative Cognitive Radio NetworkingOptimal Communication Strategies in Cooperative Cognitive Radio Networking

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2016
ISBN
978-3-319-32879-9
Pages
73 –93
DOI
10.1007/978-3-319-32881-2_4
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter is concerned with enhancement of spectrum utilization whereby a licensed primary user (PU) engages unlicensed secondary users (SUs) to relay its transmission in an energy-aware cognitive radio network to expedite information transfer. The cooperation can be pure relaying or provide diversity transmissions using an amplify-and-forward or decode-and-forward mode. In a cooperative cognitive radio network (CCRN), the individual cooperating partner attempts to maximize its own utility. The energy-aware partner selection and parameter optimization process, led by the PU, is formulated as two Stackelberg games, namely a sum-constrained power allocation game for two-phase and a power control game for three-phase cooperation, respectively. Unique Nash Equilibrium is proved and achieved in analytical format for each game. The optimal communication strategy is chosen which achieves the maximum PU utility among different optimal communication strategies. Moreover, an implementation scheme is presented to perform the partner selection and parameter optimization based on the analytical results. Theoretical analysis and performance evaluation show that the proposed CCRN model is a promising framework under which the PU’s utility is maximized, while the relaying SUs can attain acceptable utilities.]

Published: May 20, 2016

Keywords: Nash Equilibrium; Power Allocation; Primary User; Communication Strategy; Stackelberg Game

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