本文選題：移動通信網絡 + 頻譜資源�。� 參考：《計算機仿真》2017年09期

【摘要】：對移動通信網絡頻譜資源進行合理分配研究,能夠有效促進無線通信網絡資源的整合與管理。對頻譜資源的分配管理,需要計算出移動通信網絡頻譜資源基本概率分配值,確定每個用戶分配的總比特數(shù),完成對資源的分配管理。傳統(tǒng)方法先對子載波進行功率分配,更新資源分配機制,但忽略了確定每個用戶分配的總比特數(shù),導致資源分配管理效果不理想。提出基于證據(jù)理論的移動通信網絡頻譜資源分配算法。上述方法先基于Perron-Frobenius理論組建多用戶功率自適應資源分配模型,利用證據(jù)理論設定移動通信網絡的時延、速率、丟包率評價指標,計算出移動通信網絡頻譜資源基本概率分配值,計算出移動通信網絡頻譜資源基本概率分配值,確定每個用戶分配的總比特數(shù),完成對移動通信網絡頻譜資源分配。實驗結果表明,所提算法資源分配精度較高,為提升移動網絡的通信資源利用率奠定了基礎。
[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.
【作者單位】： 上海應用技術大學電氣與電子工程學院;上海市農業(yè)科學院信息所;浙江省農業(yè)科學院數(shù)字農業(yè)研究所;
【基金】：國際科技合作專項(2013C24022)
【分類號】：TN929.5
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本文編號：1745997