重庆邮电大学学报（自然科学版）2012，Vol.24Issue(1)：14-19,44,7.DOI:10.3979/j.issn.1673-825X.2012.01.003
基于离散功率空间的定步长认知无线网络功率控制算法
Fixed step power control algorithm for cognitive wireless networks based on the discrete power space
摘要
Abstract
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.关键词
认知无线网络/功率控制/定步长迭代算法/滑动窗口机制/干扰温度限Key words
cognitive wireless network/power control/fixed step iterative algorithm/sliding window mechanism/interference temperature limit分类
信息技术与安全科学引用本文复制引用
胡图,景志宏,张秋林..基于离散功率空间的定步长认知无线网络功率控制算法[J].重庆邮电大学学报（自然科学版）,2012,24(1):14-19,44,7.基金项目
空军工程大学电讯工程学院创新基金(DYCX1014) （DYCX1014）
空军工程大学研究生创新基金(2011) （2011）
