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- W2014923770 abstract "We investigate the energy-aware joint power and rate control in the overlay cognitive radio networks, and we expect to achieve the optimal performance tradeoff between individual fairness and network energy efficiency. Therefore, a quality of energy efficiency-based Nash bargaining cooperative game (QoE$^2$-NBCG) is formulated with the aid of the newly-built 'energy-per-bit' individual utility function design in this paper. Mathematically, a multi-constrained optimization problem is formulated with Nash product function as the optimization object, which is consisted of the novel individual QoE$^2$ utility function design. To reduce the implementation complexity, we utilize decomposition technique to decouple this multi-constrained problem. In addition, the existence and uniqueness of the socially optimal NB solutions are validated via theorems." @default.
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- W2014923770 date "2012-09-01" @default.
- W2014923770 modified "2023-10-16" @default.
- W2014923770 title "Energy-Aware Joint Power and Rate Control in Overlay Cognitive Radio Networks: A Nash Bargaining Perspective" @default.
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- W2014923770 doi "https://doi.org/10.1109/incos.2012.20" @default.
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