Underlay认知无线电网络功率与允入控制优化算法

频谱共享认知无线电网络中允入控制算法对系统总吞吐量、总传输概率及认知用户中断概率的影响,并提出两种新功率与允入控制联合优化算法。所提算法基于信干噪比与功率对应关系,引入有效信干噪比、有效链路增益比两个新权值。在非可行系统中依据新权值逐步移除违规认知用户,使允入认知用户数目最大化并有效控制总传输功率。在可行系统中利用新权值将“极大-极小”服务质量和总吞吐量优化两个问题转化为易解决的传统线性规划问题。仿真实验结果表明，新算法复杂度低、用户中断概率小且系统吞吐量大。

Optimization algorithms based on power and admission control forunderlay cognitive radio networks

An investigation is carried out that the influence of aggregate throughput, aggregate transmit power and outage ratio caused by the admission control algorithm in underlay cognitive radio networks, and two new optimization algorithms for joint power and admission control are proposed. In these algorithms, we introduce two new weights based on the relation between the signal to interference plus noise ratio and transmit power. In the infeasible system, the irregularity cognitive users are gradually removed according to the new weight, it can maximize the number of the access cognitive users and effective control aggregate transmit power can be solved. In the feasible system, we use the new weight to translate the optimization problem of max-min quality of service (QoS) and maximum aggregate throughput into the traditional linear programming problem. Numerical simulations demonstrate that the new algorithm has lower complexity, the lower users outage ratio and larger system aggregate throughput.