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针对认知无线网络的信道接入问题,为减少在授权信道上次用户与主用户之间的互相干扰,并提高信道利用效率,提出一种基于动态频谱博弈约束机制的认知无线网络信道选择算法。首先提出一种博弈约束机制,分析次用户在利用频谱资源时所付出的成本以及所收获的效益,得出频谱分配博弈的约束函数,使次用户所选择的频谱能够尽可能地被利用并产生效益,提高频谱资源的利用率。为了选择更好的接入信道,采用基于信道利用率、丢包率、功率情况这三种性能指标的信道选择方法来选择授权的空闲信道。实验仿真及对比结果表明,该算法相比基于时间序列预测方法和基于竞争协作频谱接入方法,在减少信道接入的延迟干扰、提高信道利用率上具有更好的效果。
Aiming at the problem of channel access in cognitive wireless network, in order to reduce the mutual interference between the primary user and the primary user on the authorized channel and improve the channel utilization efficiency, a cognitive radio network channel selection based on the dynamic spectrum game constraint mechanism is proposed algorithm. Firstly, a game constraint mechanism is proposed to analyze the cost and benefit of sub-users when using spectrum resources, and obtain the constraint function of spectrum allocation game so that the spectrum selected by sub-users can be utilized and generated as much as possible Benefit and improve the utilization of spectrum resources. In order to choose a better access channel, a channel selection method based on three performance indexes of channel utilization, packet loss rate and power condition is adopted to select an authorized idle channel. Experimental simulation and comparison results show that the proposed algorithm has better performance in reducing channel delay interference and improving channel utilization than time-series prediction and contention-based cooperative spectrum access.