【摘要】：通信網(wǎng)絡(luò)的快速發(fā)展深刻地改變著人們的生活方式,同時(shí)也面臨著嚴(yán)峻的能耗問題。能量捕獲技術(shù)的出現(xiàn)為解決節(jié)能減排問題提供了一種新的契機(jī),該技術(shù)通過收集環(huán)境中的可再生能源并將其用于維持用電設(shè)備的能量供給。同時(shí),無線能量傳輸技術(shù)也為無線遠(yuǎn)程能量供給提供了新的技術(shù)途徑。但是,無線網(wǎng)絡(luò)狀態(tài)的隨機(jī)性與復(fù)雜性極大的影響著網(wǎng)絡(luò)業(yè)務(wù)的服務(wù)質(zhì)量。因此,研究如何克服網(wǎng)絡(luò)的不確定性,高效使用捕獲到的能量完成數(shù)據(jù)業(yè)務(wù)傳輸以及提高無線能量傳輸效率具有深遠(yuǎn)的現(xiàn)實(shí)意義。本文以能量捕獲技術(shù)為基礎(chǔ),采用控制優(yōu)化的理論與技術(shù)手段,對(duì)無線能量傳輸進(jìn)行了深入的討論與分析,同時(shí)將能量捕獲技術(shù)與具體的視頻媒體業(yè)務(wù)數(shù)據(jù)傳輸相結(jié)合,研究能量捕獲網(wǎng)絡(luò)中視頻數(shù)據(jù)傳輸?shù)馁Y源配置與調(diào)度。具體工作內(nèi)容如下:1)研究無線環(huán)境中無線能量的高效傳輸。無線網(wǎng)絡(luò)中,無線信道的隨機(jī)變化以及能量請(qǐng)求的不確定性極大的影響著無線能量的傳輸效率,優(yōu)質(zhì)的信道狀態(tài)有利于能量的高效傳輸,貧乏的信道質(zhì)量則會(huì)消耗較多的傳輸能量。因此,為了提高能量傳輸?shù)男?避免在劣質(zhì)信道時(shí)刻傳輸能量,本文將通信網(wǎng)絡(luò)中的無線能量傳輸過程建模為Markov決策過程,綜合考慮能量請(qǐng)求的變化與無線信道的隨機(jī)性,分別對(duì)能量傳輸不可中斷場景和可中斷場景進(jìn)行分析與討論,然后采用動(dòng)態(tài)規(guī)劃方法計(jì)算出每個(gè)時(shí)隙最優(yōu)傳輸能量的閾值,根據(jù)實(shí)際傳輸能量消耗與閾值的對(duì)比,確定無線能量傳輸?shù)倪m宜時(shí)刻。最后,文中設(shè)計(jì)了一系列仿真實(shí)驗(yàn),實(shí)驗(yàn)結(jié)果表明所提方法可以較高的提升無線能量傳輸?shù)男省?)研究能量捕獲環(huán)境中具有QoE保障的可伸縮視頻傳輸。能量捕獲網(wǎng)絡(luò)中,信道狀態(tài)和捕獲到的能量具有隨機(jī)不確定性的特點(diǎn),因此合理的資源調(diào)度策略對(duì)保障數(shù)據(jù)業(yè)務(wù)的服務(wù)質(zhì)量具有重要意義。本文研究能量捕獲無線網(wǎng)絡(luò)下可伸縮視頻自適應(yīng)傳輸?shù)膬?yōu)化問題。由于傳輸高質(zhì)量視頻時(shí)需要消耗較多的能量,因此文中基于大偏差原理通過觀測電池中能量存儲(chǔ)狀態(tài)及其變化趨勢提出能量饑餓概率的估計(jì)模型。該模型可以精確估計(jì)未來時(shí)刻出現(xiàn)能量饑餓的概率,并指導(dǎo)視頻數(shù)據(jù)傳輸過程中的層數(shù)選擇。此外,為了降低視頻質(zhì)量的波動(dòng)性,文中還采用攝動(dòng)理論來分析與評(píng)估視頻層數(shù)增加時(shí)對(duì)視頻質(zhì)量的影響。基于此,本文推導(dǎo)出另一種低中斷率、輕波動(dòng)性的改進(jìn)型視頻傳輸調(diào)度策略。為了驗(yàn)證所提算法的性能,文中分別對(duì)兩種方法進(jìn)行了仿真實(shí)驗(yàn),實(shí)驗(yàn)結(jié)果表明,所提出的兩種方法都能夠適應(yīng)不同的能量捕獲速率,很好的保障視頻高質(zhì)量傳輸,且改進(jìn)型方法獲得的傳輸中斷率更低。3)研究能量捕獲無線網(wǎng)絡(luò)中多用戶的可伸縮視頻傳輸。多用戶視頻服務(wù)網(wǎng)絡(luò)中,網(wǎng)絡(luò)的復(fù)雜性、多個(gè)用戶的協(xié)調(diào)性以及捕獲能量的不確定性,為高質(zhì)量視頻服務(wù)帶來了新的挑戰(zhàn)。為了滿足視頻服務(wù)的需求,本文將能量捕獲網(wǎng)絡(luò)中多用戶視頻服務(wù)問題建模為帶約束的隨機(jī)優(yōu)化問題,即滿足播放平滑約束與能量約束下最大化系統(tǒng)效用�；贚yapunov優(yōu)化方法,文中通過建立平均數(shù)據(jù)隊(duì)列和能量隊(duì)列,將最初時(shí)間平均效用問題分解為三個(gè)獨(dú)立的瞬時(shí)優(yōu)化子問題,然后根據(jù)每個(gè)子問題的結(jié)構(gòu)特征獲得視頻服務(wù)過程中的四個(gè)調(diào)度參數(shù),即能量捕獲決策、視頻層數(shù)選擇、傳輸連接分配以及功率配置。最后,通過仿真實(shí)驗(yàn)驗(yàn)證所提算法獲得系統(tǒng)性能,實(shí)驗(yàn)結(jié)果表明所提算法可以很好的適應(yīng)環(huán)境的變化,提供高質(zhì)量的視頻業(yè)務(wù)服務(wù)。
[Abstract]:The rapid development of communication networks has profoundly changed people's lifestyle, but also faced severe energy consumption problems. The emergence of energy capture technology provides a new opportunity to solve the problem of energy conservation and emission reduction. However, the randomness and complexity of wireless network state greatly affect the quality of service of network services. Therefore, how to overcome the network uncertainty, efficiently use the captured energy to complete data service transmission and improve wireless energy transmission is studied. The transmission efficiency has far-reaching practical significance. Based on the energy capture technology, this paper discusses and analyzes the wireless energy transmission by means of control optimization theory and technology, and combines the energy capture technology with the specific video media service data transmission to study the video data transmission in the energy capture network. Resource allocation and scheduling. Specific tasks are as follows: 1) Study the efficient transmission of wireless energy in wireless environment. In wireless networks, the random changes of wireless channels and the uncertainty of energy requests greatly affect the efficiency of wireless energy transmission. Therefore, in order to improve the efficiency of energy transmission and avoid transmitting energy in bad channel time, the wireless energy transmission process in communication network is modeled as Markov decision-making process. Considering the change of energy request and the randomness of wireless channel, the uninterruptible and neutral scenarios of energy transmission are respectively considered. After analyzing and discussing the outage scenario, the optimal transmission energy threshold of each slot is calculated by dynamic programming method, and the appropriate time of wireless energy transmission is determined by comparing the actual transmission energy consumption with the threshold. Finally, a series of simulation experiments are designed, and the experimental results show that the proposed method can improve the performance of wireless energy transmission. 2) Research on scalable video transmission with QoE guarantees in energy capture environments. In energy capture networks, channel states and captured energy are characterized by random uncertainties. Therefore, a reasonable resource scheduling strategy is of great significance for guaranteeing the quality of service of data services. In this paper, an energy hunger probability estimation model based on large deviation principle is proposed by observing the state of energy storage in batteries and its changing trend. In addition, in order to reduce the fluctuation of video quality, perturbation theory is used to analyze and evaluate the effect of increasing layers on video quality. In order to verify the performance of the proposed algorithm, the two methods are simulated. The experimental results show that the proposed two methods can adapt to different energy capture rates, ensure high quality video transmission, and the improved method achieves lower transmission interruption rate. Scalable video transmission. In multiuser video service networks, the complexity of the network, the coordination of multiple users, and the uncertainty of capture energy pose new challenges to high quality video services. Based on Lyapunov optimization method, the initial time average utility problem is decomposed into three independent instantaneous optimization sub-problems by establishing an average data queue and an energy queue, and the video service is obtained according to the structural characteristics of each sub-problem. Four scheduling parameters, i.e. energy capture decision, video layer selection, transmission connection allocation and power allocation, are included in the process. Finally, the performance of the proposed algorithm is verified by simulation experiments. The experimental results show that the proposed algorithm can adapt to the changing environment and provide high-quality video service.
【學(xué)位授予單位】：中國科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN92

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本文編號(hào)：2209159