Wang Xinbing, Li Zheng, Xu Pengchao, Xu Youyun, Gao Xinbo, Chen Hsiao-Hwa
Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200030, China.
IEEE Trans Syst Man Cybern B Cybern. 2010 Jun;40(3):587-96. doi: 10.1109/TSMCB.2009.2034630. Epub 2009 Dec 15.
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.
认知无线电正在成为一种有望提高射频频谱利用率的技术。在本文中，我们考虑了主用户（或“授权”用户，PU）和次用户（或“非授权”用户，SU）之间的频谱共享问题。我们基于带宽拍卖来构建该问题，其中每个SU对频谱量进行出价，每个PU可以根据来自SU的信息自行在SU之间分配频谱，而不会降低自身性能。我们表明该拍卖是一个非合作博弈，并且纳什均衡（NE）可以作为其解决方案。我们首先考虑单PU网络来研究NE的存在性和唯一性，并在给定条件下进一步讨论SU之间的公平性。然后，我们提出一种动态更新算法，其中每个SU以分布式方式实现NE。研究了这种频谱共享方案动态行为的稳定性条件。讨论扩展到网络中有多个PU的情况，在适当条件下展示了NE的性质。通过仿真评估系统性能并验证所提算法的有效性。
