Dynamics of Multiple-Seller and Multiple-Buyer Spectrum Trading in Cognitive Radio Networks: A Game-Theoretic Modeling Approach
Dynamics of Multiple-Seller and Multiple-Buyer Spectrum Trading in Cognitive Radio Networks: A Game-Theoretic Modeling Approach
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DOI：
10.1109/tmc.2008.157
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发表时间：
2009-08-01
影响因子：
7.9
通讯作者：
Zhu Han
中科院分区：
文献类型：
--
作者：
Niyato, Dusit;Hossain, Ekram;Zhu Han
我们考虑多个授权用户（即主用户）向多个非授权用户（即次用户）出售频谱机会的频谱交易问题。次用户可以通过观察不同主用户或主服务提供商所提供频谱的价格和质量的变化来调整其频谱购买行为（即演变）。主用户或主服务提供商可以调整其向次用户出售频谱机会的行为以实现最高效用。在本文中，我们使用演化博弈理论对次用户的演变和动态行为进行建模。还提出了一种用于实现次用户演变过程的算法。为了对主用户之间的竞争进行建模，构建了一个非合作博弈，其中纳什均衡被视为解决方案（就向次用户提供的频谱大小和频谱价格而言）。对于一个主用户，提出了一种用于策略调整以实现解决方案的迭代算法。所提出的用于对多个主用户（或服务提供商）和多个次用户之间的相互作用进行建模的博弈论框架被用于研究不同系统参数设置下以及系统扰动下的网络动态。
We consider the problem of spectrum trading with multiple licensed users (i.e., primary users) selling spectrum opportunities to multiple unlicensed users (i.e., secondary users). The secondary users can adapt the spectrum buying behavior (i.e., evolve) by observing the variations in price and quality of spectrum offered by the different primary users or primary service providers. The primary users or primary service providers can adjust their behavior in selling the spectrum opportunities to secondary users to achieve the highest utility. In this paper, we model the evolution and the dynamic behavior of secondary users using the theory of evolutionary game. An algorithm for the implementation of the evolution process of a secondary user is also presented. To model the competition among the primary users, a noncooperative game is formulated where the Nash equilibrium is considered as the solution (in terms of size of offered spectrum to the secondary users and spectrum price). For a primary user, an iterative algorithm for strategy adaptation to achieve the solution is presented. The proposed game-theoretic framework for modeling the interactions among multiple primary users (or service providers) and multiple secondary users is used to investigate network dynamics under different system parameter settings and under system perturbation.