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As the rapid development of wireless communication, the scarcity of spectrum become more and more prominent. Recently, Cognitive Radio (CR) technology is proposed to overcome the problem of low spectrum utilization brought by static spectrum allocation. In this paper, a new CR spectrum sharing scheme is developed by employing the dynamic coopetition game model. Coopetition game approach is an effective tool to describe CR sharing problems. The proposed scheme dynamically senses the spectrum based on the global game and efficiently re-allocates the available spectrum according to the trust-proportional bargaining approach. The main goal of our game based scheme is to greatly improve the sensing performance while maximizing the overall system capacity. Under widely different CR network situations, the proposed scheme is so dynamic and flexible that it can adaptively respond to current CR network conditions.
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Htike, Z., Hong, C. S., & Lee, S. (2013). The life cycle of the rendezvous problem of cognitive radio ad hoc networks: A survey. Journal of Computing Science and Engineering, 7(2), 81–88. CrossRef
Qiao, X., & Tan, Z. (2011). Combination of spectrum sensing and allocation in cognitive radio networks based on compressive sampling. In IEEE GLOBECOM workshops, pp. 565–569.
Wang, Beibei, Liu, K. J. R., & Clancy, T. C. (2010). Evolutionary cooperative spectrum sensing game: How to collaborate? IEEE Transactions on Communications, 58(3), 890–900. CrossRef
Liu, J., Shen, L., Song, T., & Wang, X. (2009). Demand-matching spectrum sharing game for non-cooperative cognitive radio network. In International conference on wireless communications & signal processing (WCSP) 2009, pp. 1–5.
Kim, S. (2012). Biform game based cognitive radio scheme for smart grid communications. Journal of Communications and Networks, 14(6), 614–618. CrossRef
Bouncken, R. B., & Fredrich, V. (2011). Coopetition: Its successful management in the nexus of dependency and trust. In Proceedings of PICMET’11, pp. 1–12.
Tembine, H. (2009). Dynamic bargaining solutions for opportunistic spectrum access. In IFIP conference on Wireless days, pp. 1–6.
Kim, Sungwook. (2012). Trust-based bargaining game model for cognitive radio spectrum sharing scheme. IEICE Transactions on Communications, E95–B(12), 3925–3928. CrossRef
Krishnamurthy, V. (2010). Decentralized spectrum access via multivariate global games. In International workshop on cognitive information processing (CIP’2010), pp. 464–469.
Zouridaki, C., Mark, B. L., Hejmo, M., & Thomas, R. K. (2005). A quantitative trust establishment framework for reliable data packet delivery in MANETs. In ACM SASN’05, pp. 1–10.
Changiz, R., Halabian, H., Yu, F. R., Lambadaris, I., & Tang, H. (2010). Trust management in wireless mobile networks with cooperative communications. In EUC 2010, pp. 498–503.
- Learning Based Spectrum Sharing Algorithms by Using Coopetition Game Approach
- Springer US