本文選題：內(nèi)容服務(wù) + 流行度預(yù)測　； 參考：《中國科學(xué):信息科學(xué)》2017年05期

【摘要】：無線蜂窩網(wǎng)絡(luò)中相同的數(shù)據(jù)內(nèi)容被大量重復(fù)傳輸,造成了網(wǎng)絡(luò)能耗的增加和無線資源的浪費.然而,現(xiàn)有無線蜂窩網(wǎng)絡(luò)并不關(guān)注所傳輸數(shù)據(jù)的實質(zhì)內(nèi)容,并對所有移動用戶提供無差別服務(wù),因此無法解決這一傳輸冗余問題.在分析移動用戶行為的基礎(chǔ)上,結(jié)合無線蜂窩網(wǎng)絡(luò)和數(shù)字廣播系統(tǒng)的優(yōu)勢,提出了以用戶為中心、具有數(shù)據(jù)業(yè)務(wù)內(nèi)容動態(tài)感知能力的軟實時服務(wù)機制,降低無線蜂窩網(wǎng)絡(luò)的傳輸能耗和無線資源消耗,同時提升移動用戶體驗的服務(wù)質(zhì)量.本文給出了業(yè)務(wù)內(nèi)容流行度預(yù)測、用戶信息訪問行為預(yù)測、動態(tài)多播小區(qū)構(gòu)建與內(nèi)容推送等算法設(shè)計,并建立了系統(tǒng)的性能模型,揭示了系統(tǒng)參數(shù)與系統(tǒng)性能之間的關(guān)聯(lián).經(jīng)過公共網(wǎng)絡(luò)新聞類信息訪問的實測數(shù)據(jù)模擬驗證,在理想的預(yù)測算法下,廣播排名前10%的熱門網(wǎng)絡(luò)內(nèi)容,可將蜂窩網(wǎng)絡(luò)中的數(shù)據(jù)傳輸能效提升約2倍;經(jīng)過校園網(wǎng)絡(luò)在線學(xué)習(xí)場景的兩個數(shù)據(jù)集模擬驗證,在理想預(yù)測算法下,可將網(wǎng)絡(luò)數(shù)據(jù)傳輸能效提高50倍.
[Abstract]:The same data content in wireless cellular networks is transmitted repeatedly, which results in the increase of network energy consumption and the waste of wireless resources. However, the existing wireless cellular networks do not pay attention to the substance of the transmitted data, and provide non-differentiated services to all mobile users. Therefore, this problem of transmission redundancy cannot be solved. Based on the analysis of mobile user behavior and the advantages of wireless cellular network and digital broadcasting system, a new soft real-time service mechanism, which is user-centered and has the capability of dynamic sensing of data service content, is proposed. The transmission energy consumption and wireless resource consumption of wireless cellular network are reduced, and the quality of service of mobile user experience is improved. In this paper, the algorithm design of business content popularity prediction, user information access behavior prediction, dynamic multicast cell construction and content push are presented. The performance model of the system is established, and the relationship between system parameters and system performance is revealed. Through the simulation and verification of the measured data accessed by the public network news information, under the ideal prediction algorithm, broadcasting the top 10% of the hot network content can increase the efficiency of data transmission in the cellular network by about 2 times. Through the simulation of two data sets in the online learning scene of campus network, the efficiency of network data transmission can be improved by 50 times under the ideal prediction algorithm.
【作者單位】： 清華大學(xué)電子工程系;清華大學(xué)信息科學(xué)與技術(shù)國家實驗室(籌);浙江大學(xué)電信工程系;
【基金】：國家重點基礎(chǔ)研究發(fā)展計劃(973)(批準號:2012CB316000) 泛網(wǎng)無線通信教育部重點實驗室開放課題(批準號:KFKT-2014101)資助項目
【分類號】：TN929.5

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