移动通信网络频谱资源分配管理仿真

发布时间：2018-04-13 20:04

  本文选题：移动通信网络 + 频谱资源　； 参考：《计算机仿真》2017年09期

【摘要】：对移动通信网络频谱资源进行合理分配研究,能够有效促进无线通信网络资源的整合与管理。对频谱资源的分配管理,需要计算出移动通信网络频谱资源基本概率分配值,确定每个用户分配的总比特数,完成对资源的分配管理。传统方法先对子载波进行功率分配,更新资源分配机制,但忽略了确定每个用户分配的总比特数,导致资源分配管理效果不理想。提出基于证据理论的移动通信网络频谱资源分配算法。上述方法先基于Perron-Frobenius理论组建多用户功率自适应资源分配模型,利用证据理论设定移动通信网络的时延、速率、丢包率评价指标,计算出移动通信网络频谱资源基本概率分配值,计算出移动通信网络频谱资源基本概率分配值,确定每个用户分配的总比特数,完成对移动通信网络频谱资源分配。实验结果表明,所提算法资源分配精度较高,为提升移动网络的通信资源利用率奠定了基础。
[Abstract]:The rational allocation of spectrum resources in mobile communication networks can effectively promote the integration and management of wireless communication network resources.In the management of spectrum resource allocation, it is necessary to calculate the basic probability allocation value of spectrum resource in mobile communication network, determine the total number of bits allocated by each user, and complete the resource allocation management.The traditional method firstly allocates power to subcarriers and updates the resource allocation mechanism, but neglects to determine the total number of bits allocated by each user, which leads to the unsatisfactory management effect of resource allocation.A spectrum resource allocation algorithm for mobile communication networks based on evidence theory is proposed.Firstly, the multi-user power adaptive resource allocation model is constructed based on Perron-Frobenius theory. The evaluation index of delay, rate and packet loss rate is set up by using evidence theory, and the basic probability allocation value of spectrum resource in mobile communication network is calculated.The basic probability allocation value of spectrum resource in mobile communication network is calculated and the total number of bits allocated by each user is determined. The spectrum resource allocation of mobile communication network is completed.The experimental results show that the proposed algorithm has high resource allocation accuracy and lays a foundation for improving the utilization of communication resources in mobile networks.
【作者单位】： 上海应用技术大学电气与电子工程学院;上海市农业科学院信息所;浙江省农业科学院数字农业研究所;
【基金】：国际科技合作专项(2013C24022)
【分类号】：TN929.5
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本文编号：1745997