摘要
针对认知用户的功率控制在实现用户效用的最大化时牺牲网络收益进行了研究,联合网络和用户两端对用户进行功率控制,可以实现网络收益和用户效用的平衡。联合算法的实现可以采用认知用户单位价格的多维搜索方式,但是该方式计算量大,为了减少计算的复杂度,提出一种渐进分析法求解最优单位价格。首先确定使得网络收益最大化的单位价格,并基于该单位价格,采用博弈论分析方法,对认知用户进行功率控制。该算法表明在实现网络收益最大化的同时,用户的收益达到最优化。通过仿真分析,验证了联合算法的有效性。
In view of power control of cognitive user sacrifices the network benefits when maximizes user utility, joint network and user power control can realize the balance of the network benefits and the user＇s utility. The solution to the revenue-maximization problem can be a multidimensional search over the unit prices for each user. But it causes a big amount of calculation. In order to reduce the complexity of the calculation, asymptotic analysis method of finding the optimal unit price is presented to maximize net- work utility, and then, based on this unit price, implements the power control of user using the game theory analysis method. Re- suhs show that the algorithm optimizes the benefits of users while achieving the network maximization. The simulation analysis veri- ties the effectiveness of the algorithm.
出处
《电视技术》
北大核心
2015年第15期60-63,93,共5页
Video Engineering
基金
江苏省科技支撑计划项目(CBE2014045)
