Adaptive cognitive radio energy-harvesting scheme using sequential game approach
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- 作者：Sungwook Kim
- 关键词：Energy harvesting ; Radio frequency ; Cognitive radio network ; Game theory ; Sequential bargaining solution
- 刊名：EURASIP Journal on Wireless Communications and Networking
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：2017
- 期：1
- 全文大小：870KB
- 刊物主题：Signal,Image and Speech Processing; Communications Engineering, Networks; Information Systems Applications (incl.Internet);
- 出版者：Springer International Publishing
- ISSN：1687-1499
- 卷排序：2017
文摘
Radio frequency (RF) energy transfer and harvesting techniques have recently become alternative methods to overcome the barriers that prevent the real-world wireless device deployment. For the next-generation wireless networks, they can be key techniques. In this study, we develop a novel energy-harvesting scheme for the cognitive radio (CR) network system. Using the sequential game model, data transmission and energy harvesting in each device are dynamically scheduled. Our approach can capture the wireless channel state while considering multiple device interactions. In a distributed manner, individual devices adaptively adjust their decisions based on the current system information while maximizing their payoffs. When the channel selection collision occurs, our sequential bargaining process coordinates this problem to optimize a social fairness. Finally, we have conducted extensive simulations. The results demonstrate that the proposed scheme achieves an excellent performance for the energy efficiency and spectrum utilization. The main contribution of our work lies in the fact that we shed some new light on the trade-off between individual wireless devices and CR network system.