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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Stackelberg Game on Space and Frequency Heterogeneity Analysis in an OFDMA-Based Cognitive Spectrum Leasing
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Stackelberg Game on Space and Frequency Heterogeneity Analysis in an OFDMA-Based Cognitive Spectrum Leasing

机译:基于OFDMA的认知频谱租赁中的空间和频率异质性分析的Stackelberg博弈

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With the development of cognitive radio technologies, dynamic spectrum access (DSA) techniques are being regarded as a promising approach to increase the efficiency of spectrum utilization and to solve spectrum scarcity problem. This comes as a greater challenge in a cellular network where there are multiple primary users (PUs) who communicate with their access point while the other secondary users (SUs) want to use PU's spectrum. On the other hand, heterogeneity in terms of space and frequency can affect the primary users' decision to release their spectrum to the SUs. In this respect, the present paper is intended to address this issue and thus propose a solution with regard to the reward and punishment policy and equivalent revenue per unit transmission parameter. It has to be noted that both PUs and SUs aim to maximize their utilities in terms of their transmission rate and revenue/payment. Therefore, the proposed model is formulated as a Stackelberg Game, and a unique Nash Equilibrium Point is achieved by analytical procedure. Based on the analyses, the paper presents the conditions under which cooperation will enhance the performance of the whole system. Both analytical and numerical results reveal that the cooperative cognitive radio framework is a promising framework under which the utility of both the primary and secondary systems is maximized.
机译:随着认知无线电技术的发展,动态频谱访问(DSA)技术被认为是提高频谱利用效率和解决频谱稀缺问题的有前途的方法。在蜂窝网络中,这是一个更大的挑战,在蜂窝网络中,有多个主要用户(PU)与接入点进行通信,而其他辅助用户(SU)则希望使用PU的频谱。另一方面,空间和频率方面的异质性会影响主要用户将其频谱释放给SU的决定。在这方面,本白皮书旨在解决这个问题,从而提出关于奖惩政策和每单位传输参数等效收入的解决方案。必须注意的是,PU和SU都旨在在其传输速率和收入/支付方面最大化其效用。因此,将所提出的模型公式化为Stackelberg博弈,并通过分析程序获得唯一的纳什均衡点。在分析的基础上,本文提出了在哪些条件下合作可以提高整个系统的性能。分析和数值结果均表明,合作认知无线电框架是一个有前途的框架,在该框架下,主要系统和次要系统的效用均得到最大化。

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