Abstract:

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.