本文選題：無線視頻 + 用戶體驗(yàn)質(zhì)量��； 參考：《南京郵電大學(xué)》2014年碩士論文

【摘要】：新一代無線網(wǎng)絡(luò)的快速發(fā)展為無線多媒體傳輸?shù)於司W(wǎng)絡(luò)基礎(chǔ)，人們已經(jīng)開發(fā)出了許多無線視頻應(yīng)用。但是在無線網(wǎng)絡(luò)中接收的視頻質(zhì)量仍不能達(dá)到用戶對(duì)視頻質(zhì)量的要求。終端用戶的移動(dòng)性，無線信道的時(shí)變性，以及無線傳輸?shù)年幱八ヂ涞榷紩?huì)影響視頻傳輸質(zhì)量。提供高質(zhì)量的無線視頻傳輸服務(wù)，，實(shí)時(shí)準(zhǔn)確地度量接收端視頻質(zhì)量，并通過擁塞控制、速率控制等機(jī)制來增強(qiáng)用戶的體驗(yàn)質(zhì)量，是一個(gè)迫切需要解決的問題。 針對(duì)現(xiàn)有方法的不足，本文提出一種基于用戶體驗(yàn)質(zhì)量（QoE）的無線視頻傳輸控制算法。該算法綜合考慮有效帶寬變化率和丟包率，對(duì)網(wǎng)絡(luò)狀況進(jìn)行判斷；接收端定時(shí)統(tǒng)計(jì)網(wǎng)絡(luò)的丟包率、有效帶寬等QoS參數(shù)，并以RTCP包的形式將這些信息反饋給發(fā)送端；發(fā)送端將接受的丟包率、有效帶寬等信息作為QoE預(yù)測模型的輸入?yún)?shù)，實(shí)時(shí)計(jì)算接收端的QoE值，并根據(jù)QoE變化值和當(dāng)前網(wǎng)絡(luò)狀況，調(diào)整發(fā)送速率，以提高接收端的用戶體驗(yàn)質(zhì)量。論文的主要工作包括建立仿真環(huán)境，研究用戶體驗(yàn)質(zhì)量與丟包率、有效帶寬變化率的關(guān)系，并據(jù)此提出一種根據(jù)網(wǎng)絡(luò)狀況模糊控制的算法，在真實(shí)網(wǎng)絡(luò)環(huán)境下進(jìn)行多組實(shí)驗(yàn)以驗(yàn)證算法的有效性。實(shí)驗(yàn)結(jié)果表明本文算法可以有效地改善接收端的用戶體驗(yàn)質(zhì)量。
[Abstract]:The rapid development of the new generation wireless network has laid the network foundation for wireless multimedia transmission, and many wireless video applications have been developed. However, the video quality received in the wireless network still can not meet the user's requirements for video quality. The quality of video transmission is affected by the mobility of the end user, the time-varying of the wireless channel, and the shadow fading of the wireless transmission. It is an urgent problem to provide high-quality wireless video transmission service, to measure the video quality of the receiver accurately and in real time, and to enhance the user's experience quality through congestion control, rate control and other mechanisms. Aiming at the shortcomings of the existing methods, this paper proposes a wireless video transmission control algorithm based on user experience quality (QoS). The algorithm synthetically considers the effective bandwidth change rate and packet loss rate to judge the network condition, the receiver timing statistics the QoS parameters such as the packet loss rate, the effective bandwidth and so on, and feedback the information to the sender in the form of RTCP packet. The sender takes the received packet loss rate, effective bandwidth and other information as the input parameters of the QoE prediction model, calculates the QoE value of the receiver in real time, and adjusts the transmission rate according to the changing value of QoE and the current network condition. To improve the quality of the user experience at the receiving end. The main work of this paper is to establish a simulation environment, to study the relationship between user experience quality and packet loss rate, effective bandwidth change rate, and to propose a fuzzy control algorithm based on network condition. A number of experiments are carried out in real network environment to verify the effectiveness of the algorithm. Experimental results show that the proposed algorithm can effectively improve the user experience quality of the receiver.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN919.8;TP393.09

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本文編號(hào)：1900989