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Active cooperation-aware spectrum resource allocation in cognitive radio network

机译:认知无线网络中主动感知合作的频谱资源分配

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Dynamic spectrum access technology can effectively improve the spectrum utilization and solve the problem of the lack of spectrum resources in cognitive radio network. The introduction of cooperative communication will significantly improve the performance of the communication system. This paper presents a new collaborative incentive strategies in Cooperative Cognitive Radio Network(CCRN). Specific to nodes' selfish nature, using stackelberg leader-follower game model, we reserch the spectrum allocation mechanism, where the primary user, aware the exist of second users, dynamically leasing part of the spectrum to the cognitive users, in order to stimulate them to actively join the primary user cooperative transmission. Thus the primary user communication performance is improved, and get some additional income in the same time. In return, the primary user leases portion of spectrum access width to the selected secondary users for their own transmission. The backward induction method is applied to analysis and prove the existence and uniqueness of the stackelberg equilibrium solution in the proposed stackelberg leader-follower game model. Both analytical result and numerical result show that the proposed cooperative cognitive radio framework is promising under which the utility of both primary and secondary system are maximized.
机译:动态频谱接入技术可以有效地提高频谱利用率,解决认知无线电网络中频谱资源不足的问题。引入协作通信将大大提高通信系统的性能。本文提出了一种在合作认知无线电网络(CCRN)中的新的合作激励策略。针对节点的自私性质,我们使用Stackelberg领导者跟随者博弈模型重新设置频谱分配机制,其中主要用户了解第二个用户的存在,将部分频谱动态出租给认知用户,以刺激他们积极加入主用户合作传输。因此,提高了主要用户的通信性能,并同时获得了一些额外的收入。作为回报,主要用户将频谱访问宽度的一部分租给所选的次要用户以进行自身传输。应用反向归纳法分析并证明了所提出的Stackelberg前导-跟随博弈模型中Stackelberg平衡解的存在性和唯一性。分析结果和数值结果均表明,所提出的协同认知无线电框架是有希望的,在该框架下,一次和二次系统的效用均最大化。

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