發(fā)布時間：2019-03-19 18:57

【摘要】：移動寬帶連接數(shù)和網(wǎng)絡(luò)流量的爆炸性增長將給下一代無線接入網(wǎng)絡(luò)帶來更高的要求和更艱巨的挑戰(zhàn),例如:覆蓋密度、容量和用戶體驗質(zhì)量等。小蜂窩基站相對于傳統(tǒng)宏蜂窩基站更加靠近用戶,通過對宏基站的流量卸載來緩解網(wǎng)絡(luò)流量的爆炸性增長問題。據(jù)預(yù)測,以視頻為代表的傳統(tǒng)多媒體業(yè)務(wù)將占據(jù)90%的網(wǎng)絡(luò)流量,而以超高清視頻為特點的新型多媒體業(yè)務(wù)已顯得越來越受歡迎,可能成為未來的主流業(yè)務(wù)。其典型應(yīng)用場景包括虛擬現(xiàn)實(virtual reality)和增強(qiáng)現(xiàn)實(augmented reality)等。除了超高清晰度特點,新型多媒體業(yè)務(wù)還具有其他特點,例如:多視角與自由切換、超高帶寬、超高服務(wù)質(zhì)量(quality-of-service,QoS)等,這些新特點將給傳統(tǒng)小蜂窩網(wǎng)絡(luò)帶來新挑戰(zhàn)。針對挑戰(zhàn),本文立足無線通信網(wǎng)絡(luò),面向高清圖像視頻業(yè)務(wù)的傳輸,以新型多媒體業(yè)務(wù)為主題,無線多播為主線,從多播源、多播組和多播傳輸?shù)热齻�方面,面向即將承載新型多媒體業(yè)務(wù)的下一代小蜂窩網(wǎng)絡(luò)展開資源管理方面的研究并提出解決方案,所研究的問題具體包括:一、在多播源方面,1)面向具有實時多視角特點的新型多媒體業(yè)務(wù),探討多媒體業(yè)務(wù)的多播源管理,研究基于緩存技術(shù)的解決方案。建立緩存約束下的系統(tǒng)最大化吞吐率優(yōu)化模型,提出業(yè)務(wù)的緩存代價公式、多播組覆蓋概率和各態(tài)歷經(jīng)(Ergodic)速率公式、中繼選擇算法,解決多個視頻流在網(wǎng)絡(luò)中的不同步傳輸影響業(yè)務(wù)的自由切換體驗。經(jīng)理論分析和仿真,所提算法在中繼選擇增益和系統(tǒng)吞吐率性能方面相對于已有算法有顯著提升,同時可以接近理論最優(yōu)值。2)面向具有超高清晰度、超高帶寬需求的新型多媒體業(yè)務(wù),探討多媒體業(yè)務(wù)的多播源管理,研究基于移動邊緣計算技術(shù)的解決方案。建立用戶滿意度與帶寬需求比的優(yōu)化模型,提出結(jié)合拉格朗日和級數(shù)法的求解方法,解決因硬件解碼能力受限對用戶向新業(yè)務(wù)快速遷移的影響。經(jīng)理論分析和仿真,本節(jié)工作相比于已有工作可以改善用戶的硬件受限困境,提升多播系統(tǒng)的滿意度與帶寬需求比。二、在多播組方面,1)面向具有實時多視角特點的新型多媒體業(yè)務(wù),探討多媒體業(yè)務(wù)的多播組管理,研究基于冗余的多播組劃分方案。建立冗余視頻分割模型和多播組分割模型,提出基站帶寬節(jié)省值表達(dá)式,解決具有冗余的多個視角視頻流在無線網(wǎng)絡(luò)中的帶寬資源浪費(fèi)問題。經(jīng)理論分析和仿真,所提模型可以顯著的節(jié)省視頻傳輸帶寬,有效的降低系統(tǒng)總體的帶寬消耗和功率消耗。2)面向具有多視角、自由切換特點的新型多媒體業(yè)務(wù),探討多媒體業(yè)務(wù)的多播組管理,研究基于用戶移動和視頻切換的多播組劃分方案。建立基于移動和切換的馬爾科夫模型和多播系統(tǒng)吞吐率最大化優(yōu)化模型,提出區(qū)域選擇算法,解決用戶的自由視角切換帶給多播組用戶的頻繁變更問題。經(jīng)理論分析和仿真,在不同的多播組數(shù)目和用戶分布下,所提算法的性能優(yōu)于已有算法,且更加接近于最優(yōu)解。三、在多播傳輸方面,1)面向具有超高分辨率、超高服務(wù)質(zhì)量(QoS)需求的新型多媒體業(yè)務(wù),探討多媒體業(yè)務(wù)的多播傳輸管理,研究面向軟頻率復(fù)用與多播傳輸相結(jié)合場景下的資源管理。建立QoS約束下多播系統(tǒng)功率最小化的優(yōu)化模型,提出理論求解方法以及相應(yīng)的資源分配算法,解決無線網(wǎng)絡(luò)中小區(qū)邊緣用戶因受到干擾而影響用戶QoS的問題。經(jīng)理論分析和仿真,在不同多播組數(shù)目下,所提算法在系統(tǒng)功率開銷方面的性能優(yōu)于已有算法且可以接近最優(yōu)解。2)面向具有超高帶寬需求的新型多媒體業(yè)務(wù),探討多媒體業(yè)務(wù)的多播傳輸管理,研究基于用戶間通信的多播組與傳統(tǒng)多播組共存場景下的資源管理。建立多種多播組之間協(xié)同調(diào)度下的最大化吞吐率的優(yōu)化模型,提出資源分配算法,解決業(yè)務(wù)在容量受限的無線網(wǎng)絡(luò)中的傳輸面臨的帶寬瓶頸問題。經(jīng)理論分析和仿真,在不同多播組數(shù)量條件下,所提算法在多播組增益和多播系統(tǒng)的整體吞吐率方面的性能優(yōu)于已有算法,并且可以接近最優(yōu)解。本論文所提出的模型、建立的優(yōu)化目標(biāo)、展開的理論推導(dǎo)、設(shè)計的算法和完成的仿真分析可以針對新型多媒體業(yè)務(wù)給小蜂窩網(wǎng)絡(luò)帶來的新問題與挑戰(zhàn)提供解決思路。
[Abstract]:The explosive growth of mobile broadband connections and network traffic will bring higher requirements and challenges to the next generation of wireless access networks, such as coverage density, capacity, and user experience quality. The small cell base station is closer to the user with respect to the traditional macro cell base station, and the explosive growth problem of the network traffic is relieved through the discharge of the flow of the macro base station. It is predicted that traditional multimedia services represented by video will occupy 90% of network traffic, while new multimedia services featuring ultra-high definition video are becoming more and more popular and may become the mainstream business in the future. Typical application scenarios include virtual reality and augmented reality. In addition to the features of ultra-high definition, new multimedia services also have other features, such as multi-view and free-switching, ultra-high bandwidth, and ultra-high quality of service (QoS), which will bring new challenges to traditional small cellular networks. Aiming at the challenge, this paper, based on the wireless communication network, faces the transmission of the high-definition image video service, takes the new multimedia service as the theme, the wireless multicast is the main line, from the three aspects of the multicast source, the multicast group and the multicast transmission, The research on the management of the next-generation small-cell network facing the new multimedia service to be carried out and the solution are put forward. The problems studied include:1. in the multicast source,1) the new multimedia service with real-time multi-view characteristic, The paper discusses the multicast source management of multimedia services, and studies the solution based on the cache technology. The system maximum throughput optimization model under the cache constraint is established, the cache cost formula of the service, the coverage probability of the multicast group and the ergodic rate formula and the relay selection algorithm are put forward, and the free switching experience of the plurality of video streams in the network is solved by the non-synchronous transmission of the plurality of video streams in the network. By means of theoretical analysis and simulation, the proposed algorithm has a significant improvement in the relay selection gain and the system throughput performance with respect to the existing algorithm, and can approach the theoretical optimal value. This paper discusses the multicast source management of multimedia services, and studies the solution based on mobile edge computing technology. The optimization model of user satisfaction and bandwidth demand ratio is established, and a solution method combining the Lagrange and the series method is proposed to solve the effect of limited hardware decoding ability on the fast migration of users to the new business. Through theoretical analysis and simulation, the work of this section can improve the hardware limited plight of the users, and improve the satisfaction of the multicast system and the bandwidth demand ratio. 2. In the multicast group,1) to the new multimedia service with real-time multi-view characteristic, to discuss the multicast group management of the multimedia service, and to study the redundancy-based multicast group division scheme. Establishing a redundant video segmentation model and a multicast group segmentation model, and proposing a base station bandwidth saving value expression to solve the problem of bandwidth resource waste in a wireless network of a plurality of view video streams with redundancy. Through the theoretical analysis and simulation, the proposed model can save the video transmission bandwidth significantly and effectively reduce the overall bandwidth consumption and power consumption of the system. The scheme of multicast group division based on user's mobile and video switching is studied. A method for maximizing the throughput of a Markov model and a multicast system based on a mobile and a handover is established, and a region selection algorithm is proposed to solve the problem of frequent change of the user's free-view switching to the users of the multicast group. Based on the theoretical analysis and simulation, the proposed algorithm is superior to the existing algorithm and is closer to the optimal solution under the different number of multicast groups and the user's distribution. 3. In the aspects of multicast transmission,1) a new multimedia service oriented to the requirement of ultra-high resolution and ultra-high quality of service (QoS), the multicast transmission management of the multimedia service is discussed, and the resource management under the combination of the soft-frequency reuse and the multicast transmission is studied. The optimization model for minimizing the power of the multicast system under the condition of the QoS constraint is proposed, and the theoretical solution method and the corresponding resource allocation algorithm are put forward to solve the problem that the user's QoS is affected by the interference of the cell edge users in the wireless network. By means of theoretical analysis and simulation, the performance of the proposed algorithm in the system power cost is superior to the existing algorithm and can approach the optimal solution under the number of different multicast groups. The resource management under the coexistence of the multicast group and the traditional multicast group based on the inter-user communication is studied. The optimization model of maximum throughput in cooperative scheduling among multiple multicast groups is established, and a resource allocation algorithm is proposed to solve the bandwidth bottleneck problem in the transmission of the service in the capacity-limited wireless network. According to the theory analysis and simulation, the performance of the proposed algorithm in the multicast group gain and the overall throughput rate of the multicast system is superior to the existing algorithm under the condition of different multicast groups, and the optimal solution can be approached. The model, the established optimization objective, the theoretical deduction, the designed algorithm and the completed simulation analysis can provide a solution to the new problems and challenges brought by the new multimedia service to the small cellular network.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2017
【分類號】：TN929.5

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