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Spectrum Sharing in Cognitive Radio Networks—An Auction-Based Approach

机译:认知无线电网络中的频谱共享-基于拍卖的方法

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Cognitive radio is emerging as a promising technique to improve the utilization of the radio frequency spectrum. In this paper, we consider the problem of spectrum sharing among primary (or “licensed”) users (PUs) and secondary (or “unlicensed”) users (SUs). We formulate the problem based on bandwidth auction, in which each SU makes a bid for the amount of spectrum and each PU may assign the spectrum among the SUs by itself according to the information from the SUs without degrading its own performance. We show that the auction is a noncooperative game and that Nash equilibrium (NE) can be its solution. We first consider a single-PU network to investigate the existence and uniqueness of the NE and further discuss the fairness among the SUs under given conditions. Then, we present a dynamic updating algorithm in which each SU achieves NE in a distributed manner. The stability condition of the dynamic behavior for this spectrum-sharing scheme is studied. The discussion is generalized to the case in which there are multiple PUs in the network, where the properties of the NE are shown under appropriate conditions. Simulations were used to evaluate the system performance and verify the effectiveness of the proposed algorithm.
机译:认知无线电正在成为一种有前途的技术,可以提高无线电频谱的利用率。在本文中,我们考虑了主要(或“许可”)用户(PU)和次要(或“非许可”)用户(SU)之间的频谱共享问题。我们基于带宽拍卖提出问题,其中每个SU竞标频谱量,每个PU可以根据SU的信息在SU之间自行分配频谱,而不会降低其性能。我们证明拍卖是一种非合作博弈,纳什均衡(NE)可以作为其解决方案。我们首先考虑一个单PU网络来调查网元的存在和唯一性,并进一步讨论给定条件下SU之间的公平性。然后,我们提出了一种动态更新算法,其中每个SU以分布式方式实现NE。研究了该频谱共享方案的动态行为的稳定性条件。讨论被概括到网络中存在多个PU的情况,其中在适当的条件下显示NE的属性。仿真被用来评估系统性能并验证所提出算法的有效性。

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