基于博弈论的空时频谱共享:动态接入与惩罚策略OACSCDCSTPCD
Space-time spectrum sharing based on game theory:dynamic access and penalty strategy
为了解决时空域频谱资源利用不充分的问题,针对异构网络中多个次用户通过感知空时频谱机会动态接入的场景,提出一种基于博弈论的可靠频谱共享策略.首先,次用户通过信道采样感知主用户的活跃程度,并进一步寻找适合的空时频谱机会.其中,每个次用户旨在寻求更多的频谱资源,须避免对主用户的通信质量造成损害.为此,次用户与主用户之间需进行个人效用的协商,以达到混合纳什均衡状态.当次用户发射功率异常时,其行为将被视为违规.然后,结合违规次数和网络中活动节点数,对次用户采用退避时间补偿算法进行惩罚.最后,仿真结果验证了引入惩罚机制的空时频谱机会共享策略的有效性.
To tackle the challenge of inefficient utilization of spatiotemporal spectrum resources in heterogeneous net-works,a reliable spectrum sharing strategy based on game theory was proposed for scenarios where multiple secondary users dynamically access through sensing spatiotemporal spectrum opportunities.Firstly,secondary users sensed the ac-tivity state of primary users through channel sampling and subsequently seek suitable spatiotemporal spectrum opportuni-ties.Each secondary user aimed to access more spectrum resources while preventing quality degradation between primary users.Consequently,a negotiation of individual utilities between secondary and primary users was needed,in order to reach a mixed Nash equilibrium.When the secondary user's transmission power was abnormal,its behavior would be re-garded as a violation.Then,a backoff time compensation algorithm was presented to penalize the secondary users,ac-cording to the number of violations and active nodes in the network.Finally,simulation results validate the effectiveness of the spatiotemporal spectrum opportunities sharing strategy with the penalty mechanism.
牛阳阳;尉志青;冯志勇
北京邮电大学泛网无线通信教育部重点实验室, 北京 100876北京邮电大学泛网无线通信教育部重点实验室, 北京 100876北京邮电大学泛网无线通信教育部重点实验室, 北京 100876
电子信息工程
认知无线电网络空时频谱机会混合纳什均衡退避时间补偿
cognitive radio networkspatiotemporal spectrum opportunitymixed Nash equilibriumbackoff time com-pensation
《通信学报》 2023 (12)
28-38,11
国家自然科学基金资助项目(No.62271081)国家重点研发计划基金资助项目(No.2020YFA0711302)The National Natural Science Foundation of China(No.62271081),The National Key Research and Develop-ment Program of China(No.2020YFA0711302)
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