Fixed step power control algorithm for cognitive wireless networks based on the discrete power space
基于离散功率空间的定步长认知无线网络功率控制算法

Aim at the problem that the existing power control algorithms for cognitive wireless networks can not converge in the discrete power space, this paper presents a fixed step power control algorithm. In the discrete power space, the target SINR of cognitive user is extended from a specific target value to a target window. In order to maximize the system capacity, it is established that the sliding window mechanism is under the premise of meeting the system constraints. The middle SINR is dynamically adjusted by the comparison between the total interference of the cognitive user and the interference temperature domain in order to achieve the target window to slide. For the specific target window, the fixed-step iterative algorithm is used for transmitting power adjustment. Simulation results show that the presented algorithm achieves the desired results and obtains the similar performance of the optimal algorithm.