认知无线电博弈论功率控制算法研究

发布时间：2018-05-18 05:35

  本文选题：认知无线电 + 功率控制　； 参考：《中国矿业大学》2014年硕士论文

【摘要】：认知无线电技术采用动态频谱分配模式，能够提高频谱资源的利用率，一经提出就引起了广泛的关注。功率控制可以实现认知用户和主用户的频谱资源共享，是认知无线电的关键技术之一。本文重点研究认知无线电多用户接入下的功率分配问题，在保证QoS的基础上，通过对认知用户的功率控制，实现主用户和认知用户共享频谱资源，提高频谱资源的利用率。 现有的博弈论功率控制算法只考虑了用户效用的最大化，，却未考虑到提高用户效用对网络收益的影响。针对未考虑网络收益的情况，本文给出了联合用户和网络最优化的认知无线电功率控制算法。以用户为中心采用博弈论算法实现用户效用最大化，以网络为中心实现网络收益最大化，通过引入以用户吞吐量为基准的代价机制来协调用户和网络的资源分配，在最大化网络收益的基础上实现用户效用的最大化，实现更优的功率控制。通过理论推导，证实了算法的有效性。 算法的实现可以采用多维搜索的方式，但是该方式计算量大，为了减少计算的复杂度，本文在分析了代价和收益特性的基础上，给出了一种近似求解最优单位价格的方法，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，进行认知用户的功率控制。 搭建单小区CDMA终端上行功率控制仿真模型，并在MATLAB仿真平台中进行仿真测试。通过仿真结果分析验证了本文算法能够快速收敛，能够明显的降低用户的发射功率，在最大化网络收益的基础上能够增加多数用户效用，同时能够提高各用户的公平性。
[Abstract]:Cognitive radio technology, which uses dynamic spectrum allocation mode, can improve the efficiency of spectrum resources. Power control, one of the key technologies of cognitive radio, can share spectrum resources between cognitive users and primary users. This paper focuses on the power allocation under the multi-user access of cognitive radio. On the basis of guaranteeing QoS, the main user and the cognitive user can share the spectrum resources and improve the utilization ratio of the spectrum resource by controlling the power of the cognitive user. The existing power control algorithms based on game theory only consider the maximization of user utility, but not the influence of improving user utility on network income. In this paper, a cognitive radio power control algorithm for joint users and network optimization is presented. Taking user as center, game theory algorithm is used to maximize user utility, network center is used to realize network profit maximization, and cost mechanism based on user throughput is introduced to coordinate resource allocation between user and network. On the basis of maximizing network income, the user utility is maximized and better power control is realized. The validity of the algorithm is proved by theoretical derivation. In order to reduce the computational complexity, this paper presents an approximate method to solve the optimal unit price on the basis of analyzing the cost and income characteristics. Firstly, the unit price which maximizes the network income is determined, and based on the unit price, the power control of cognitive users is carried out by using game theory analysis method. The uplink power control simulation model of single cell CDMA terminal is built, and the simulation test is carried out on the MATLAB simulation platform. The simulation results show that the proposed algorithm can converge rapidly, reduce the transmission power of users, increase the utility of most users on the basis of maximizing the network income, and improve the fairness of the users at the same time.
【学位授予单位】：中国矿业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN925


本文编号：1904612