【摘要】：隨著無線電業(yè)務的發(fā)展,爆炸式增長的頻譜需求給我國頻譜資源的分配帶來了嚴峻的挑戰(zhàn)。依靠傳統(tǒng)“指配新頻譜”的方案逐漸不能滿足日益增長的需求。如何更加合理的規(guī)劃和利用頻譜資源已經成為頻譜管理部門亟待解決的問題。公眾移動通信作為規(guī)模最大,覆蓋范圍最廣的頻譜使用主體,具有十分重要的研究意義。本課題依托國家重大專項“IMT-2020候選頻段分析與評估”,針對上述問題對公眾移動通信典型制式(4G)頻譜使用效率進行研究。首先對國內外頻譜使用情況進行調研,闡述了國際電信聯(lián)盟(ITU)對頻譜使用效率的宏觀定義和計算方法,研究了衡量頻譜使用效率的傳統(tǒng)指標;其次,根據移動通信的技術特點為評估頻譜使用情況設計了指標模型,創(chuàng)新性的增加了協(xié)議級維度,頻譜需求維度等指標,并對典型指標進行了實測分析,完善了現(xiàn)存的評估體系,克服了原有評價方法指標單一和對業(yè)務類型不加區(qū)分的弊端;最后分析了不同的綜合評價方法,結合模型中原始數據的特點,選擇熵值法和層次分析法(AHP)對不同運營商指標樣本數據進行分析,表明了綜合評價方法用于評估指標體系的數據處理是可行的;針對數據多工作量大的問題,將AHP評價結果作為反向傳播(BP)神經網絡訓練樣本的期望輸出值,將訓練得到的BP神經網絡作為綜合評價模型,經過仿真得到測試樣本的綜合評分值,經過實例驗證,證明BP神經網絡適用于公眾移動通信頻譜使用效率的評估,相比于其它方法更具備高效性。本文從技術的角度完善了當下頻譜管理機構對評估頻譜資源的指標體系,并實例驗證了一套完整的評價方法,具有較強的應用價值,能夠為加強頻譜資源管理,合理的指配和重新規(guī)劃現(xiàn)有的頻譜資源提供一定的理論依據。
[Abstract]:With the development of radio services, the explosive growth of spectrum demand has brought severe challenges to the allocation of spectrum resources in China. The traditional "new spectrum allocation" scheme is gradually unable to meet the growing demand. How to plan and utilize spectrum resources more reasonably has become an urgent problem for spectrum management departments. As the largest and most extensive spectrum user, the public mobile communication has very important research significance. Based on the IMT-2020 candidate frequency band analysis and evaluation, this paper studies the spectrum efficiency of the typical public mobile communication system (4G). Firstly, the paper investigates the spectrum usage at home and abroad, expounds the macroscopic definition and calculation method of spectrum efficiency in (ITU), and studies the traditional index to measure spectrum efficiency. According to the technical characteristics of mobile communication, the index model is designed to evaluate the spectrum usage, and the protocol dimension and spectrum demand dimension are creatively added, and the typical indexes are analyzed and the existing evaluation system is improved. It overcomes the disadvantages of single index of original evaluation method and no distinction to business type. Finally, it analyzes different comprehensive evaluation methods and combines the characteristics of original data in the model. The entropy method and the analytic hierarchy process (AHP) are selected to analyze the sample data of different operators, which shows that the comprehensive evaluation method is feasible for the data processing of the evaluation index system. The result of AHP evaluation is regarded as the expected output value of the training sample of backpropagation (BP) neural network, and the BP neural network is taken as the comprehensive evaluation model. The synthetic score value of the test sample is obtained by simulation, and verified by an example. It is proved that BP neural network is more efficient than other methods in evaluating spectrum efficiency of public mobile communication. This paper perfects the index system of the current spectrum management organization to evaluate the spectrum resources from the technical point of view, and verifies a set of complete evaluation methods, which has strong application value, and can strengthen the spectrum resources management. Reasonable allocation and re-planning of the existing spectrum resources to provide a certain theoretical basis.
【學位授予單位】：華北電力大學(北京)
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN929.5

【引證文獻】

相關期刊論文 前1條

1 周興偉;劉駿;常江;曹志;李俊敏;;我國地面電視全數字頻率規(guī)劃方案頻率效率分析[J];廣播與電視技術;2018年05期

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本文編號：2222091