认知无线网络中基于R—E模型的信道选择算法

Channel Selection Algorithm Based on R-E model in Cognitive Wireless Networks

针对授权用户受到的碰撞问题提出了一种信道选择算法。该算法的基本思想是认知用户通过学习历史信道的选择经验，选择成功传输率最大的信道接入。仿真表明，该算法与随机信道选择算法相比，提高了平均成功传输概率，减小了切换开销。

Aiming at the collision between cognitive user and authorized users in cognitive radio networks,a dynamic channel selection algorithm is proposed.Cognitive user are able to select the channel with the max transport probability by learning the history information of channel selection,and then the cognitive user could maximize the success turansport probability,Simulation results show that comparing with the random channel selection algorithm,this algorithm not only inprove the average success turansport probability,but reduce the switch cost.