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.
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Notes
- 1.
Actually these two terms both indicate cooperation, however, we use multihop relay to represent the pure relaying scenario, and cooperative relay to capture the nature that direct link between the transmitter and receiver is available. We hope this usage does not introduce confusion.
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Cao, B., Zhang, Q., Mark, J.W. (2016). Optimal Communication Strategies in Cooperative Cognitive Radio Networking. In: Cooperative Cognitive Radio Networking. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-32881-2_4
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