基于寡头定价的动态频谱接入控制
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摘要
为了解决频谱接入中主用户和次级用户交互信息过程复杂的问题,提出了一种基于寡头定价的动态频谱接入控制算法。该算法利用博弈论建立寡头定价模型,通过控制次级用户的频谱接入过程以实现系统收益的最大化,算法只需一次用户信息交互,且无需建立公共控制信道,网络拓扑结构简单。通过比较帕累托最优与全局最优的关系,实验计算与性能分析证明了该算法的有效性。
A dynamic spectrum access control algorithm based on oligopoly pricing is proposed to solve the complex process of interaction between primary user and secondary user in spectrum access.The algorithm establishes an oligopoly pricing model by game theory,which controls the secondary user's spectrum access process to maximize system utility.The algorithm requires only one user information interaction and no need to establish a common control channel,so the network topology is simple.Experimental calculation and performance analysis prove the effectiveness of the algorithm by comparing the relationship between Pareto optimality and global optimality.
A dynamic spectrum access control algorithm based on oligopoly pricing is proposed to solve the complex process of interaction between primary user and secondary user in spectrum access.The algorithm establishes an oligopoly pricing model by game theory,which controls the secondary user's spectrum access process to maximize system utility.The algorithm requires only one user information interaction and no need to establish a common control channel,so the network topology is simple.Experimental calculation and performance analysis prove the effectiveness of the algorithm by comparing the relationship between Pareto optimality and global optimality.
引文
[1] MITOLA J,MAGUIRE G.Cognitive radio:making software radios more personal[J]. IEEE Personal Communications Magazine,1999,6(4):13-18.
[2] NEEL J,MPRG V,TECH,et al.The role of game theory in the analysis of software radio networks[C]//Proceedings of 2002 SDR Forum Technical Conference. Orlando:IEEE,2002:1-6.
[3] NIYATO D,HOSSAIN E.Competitive spectrum sharing in cognitive radio networks:a dynamic game approach[J].IEEE Transactions on Wireless Communications,2008,7(7):2651-2660.
[4] WU C M,LOC P.Distributed MAC protocol for multichannel cognitive radio ad hoc networks based on power control[J].Computer Communications,2017,9(1):1-14.
[5] MISHRA S,ROY S.Market mechanisms for dynamic spectrum access(DSA)[J]. IEEE Transactions on Wireless Communications,2018,99(1):1-11.
[6] SALEM A,SHOKAIR M.Investigation of pricing issue using different game models in cognitive radio network[J].Wireless Personal Communications,2017,96(3):4237-4249.
[7] BACCELLI F,BLASZCZYSZYN B,MUHLETHALER P.An Aloha protocol for multihop mobile wireless networks[J]. IEEE Transactions on Information Theory,2006,52(2):421-436.
[8] HILMAWAN R.Macroeconomics theory:a dynamic general equilibrium approach[M].Princeton:Princeton University Press,1990:370-372.
[9] BORST S,WALTON N,ZWART B.Short communication:network iso-elasticity and weightedα-fairness[J]. Performance evaluation,2013,70(11):995-1000.
[10] BOYD S,VANDENBERGHE L,FAYBUSOVICH L.Convex optimization[J]. IEEE Transactions on Automatic Control,2006,51(11):1859-1859.
[2] NEEL J,MPRG V,TECH,et al.The role of game theory in the analysis of software radio networks[C]//Proceedings of 2002 SDR Forum Technical Conference. Orlando:IEEE,2002:1-6.
[3] NIYATO D,HOSSAIN E.Competitive spectrum sharing in cognitive radio networks:a dynamic game approach[J].IEEE Transactions on Wireless Communications,2008,7(7):2651-2660.
[4] WU C M,LOC P.Distributed MAC protocol for multichannel cognitive radio ad hoc networks based on power control[J].Computer Communications,2017,9(1):1-14.
[5] MISHRA S,ROY S.Market mechanisms for dynamic spectrum access(DSA)[J]. IEEE Transactions on Wireless Communications,2018,99(1):1-11.
[6] SALEM A,SHOKAIR M.Investigation of pricing issue using different game models in cognitive radio network[J].Wireless Personal Communications,2017,96(3):4237-4249.
[7] BACCELLI F,BLASZCZYSZYN B,MUHLETHALER P.An Aloha protocol for multihop mobile wireless networks[J]. IEEE Transactions on Information Theory,2006,52(2):421-436.
[8] HILMAWAN R.Macroeconomics theory:a dynamic general equilibrium approach[M].Princeton:Princeton University Press,1990:370-372.
[9] BORST S,WALTON N,ZWART B.Short communication:network iso-elasticity and weightedα-fairness[J]. Performance evaluation,2013,70(11):995-1000.
[10] BOYD S,VANDENBERGHE L,FAYBUSOVICH L.Convex optimization[J]. IEEE Transactions on Automatic Control,2006,51(11):1859-1859.