下一代小蜂窝网络的多媒体业务的多播无线资源管理研究

发布时间：2019-03-19 18:57

【摘要】：移动宽带连接数和网络流量的爆炸性增长将给下一代无线接入网络带来更高的要求和更艰巨的挑战,例如:覆盖密度、容量和用户体验质量等。小蜂窝基站相对于传统宏蜂窝基站更加靠近用户,通过对宏基站的流量卸载来缓解网络流量的爆炸性增长问题。据预测,以视频为代表的传统多媒体业务将占据90%的网络流量,而以超高清视频为特点的新型多媒体业务已显得越来越受欢迎,可能成为未来的主流业务。其典型应用场景包括虚拟现实(virtual reality)和增强现实(augmented reality)等。除了超高清晰度特点,新型多媒体业务还具有其他特点,例如:多视角与自由切换、超高带宽、超高服务质量(quality-of-service,QoS)等,这些新特点将给传统小蜂窝网络带来新挑战。针对挑战,本文立足无线通信网络,面向高清图像视频业务的传输,以新型多媒体业务为主题,无线多播为主线,从多播源、多播组和多播传输等三个方面,面向即将承载新型多媒体业务的下一代小蜂窝网络展开资源管理方面的研究并提出解决方案,所研究的问题具体包括:一、在多播源方面,1)面向具有实时多视角特点的新型多媒体业务,探讨多媒体业务的多播源管理,研究基于缓存技术的解决方案。建立缓存约束下的系统最大化吞吐率优化模型,提出业务的缓存代价公式、多播组覆盖概率和各态历经(Ergodic)速率公式、中继选择算法,解决多个视频流在网络中的不同步传输影响业务的自由切换体验。经理论分析和仿真,所提算法在中继选择增益和系统吞吐率性能方面相对于已有算法有显著提升,同时可以接近理论最优值。2)面向具有超高清晰度、超高带宽需求的新型多媒体业务,探讨多媒体业务的多播源管理,研究基于移动边缘计算技术的解决方案。建立用户满意度与带宽需求比的优化模型,提出结合拉格朗日和级数法的求解方法,解决因硬件解码能力受限对用户向新业务快速迁移的影响。经理论分析和仿真,本节工作相比于已有工作可以改善用户的硬件受限困境,提升多播系统的满意度与带宽需求比。二、在多播组方面,1)面向具有实时多视角特点的新型多媒体业务,探讨多媒体业务的多播组管理,研究基于冗余的多播组划分方案。建立冗余视频分割模型和多播组分割模型,提出基站带宽节省值表达式,解决具有冗余的多个视角视频流在无线网络中的带宽资源浪费问题。经理论分析和仿真,所提模型可以显著的节省视频传输带宽,有效的降低系统总体的带宽消耗和功率消耗。2)面向具有多视角、自由切换特点的新型多媒体业务,探讨多媒体业务的多播组管理,研究基于用户移动和视频切换的多播组划分方案。建立基于移动和切换的马尔科夫模型和多播系统吞吐率最大化优化模型,提出区域选择算法,解决用户的自由视角切换带给多播组用户的频繁变更问题。经理论分析和仿真,在不同的多播组数目和用户分布下,所提算法的性能优于已有算法,且更加接近于最优解。三、在多播传输方面,1)面向具有超高分辨率、超高服务质量(QoS)需求的新型多媒体业务,探讨多媒体业务的多播传输管理,研究面向软频率复用与多播传输相结合场景下的资源管理。建立QoS约束下多播系统功率最小化的优化模型,提出理论求解方法以及相应的资源分配算法,解决无线网络中小区边缘用户因受到干扰而影响用户QoS的问题。经理论分析和仿真,在不同多播组数目下,所提算法在系统功率开销方面的性能优于已有算法且可以接近最优解。2)面向具有超高带宽需求的新型多媒体业务,探讨多媒体业务的多播传输管理,研究基于用户间通信的多播组与传统多播组共存场景下的资源管理。建立多种多播组之间协同调度下的最大化吞吐率的优化模型,提出资源分配算法,解决业务在容量受限的无线网络中的传输面临的带宽瓶颈问题。经理论分析和仿真,在不同多播组数量条件下,所提算法在多播组增益和多播系统的整体吞吐率方面的性能优于已有算法,并且可以接近最优解。本论文所提出的模型、建立的优化目标、展开的理论推导、设计的算法和完成的仿真分析可以针对新型多媒体业务给小蜂窝网络带来的新问题与挑战提供解决思路。
[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.
【学位授予单位】：电子科技大学
【学位级别】：博士
【学位授予年份】：2017
【分类号】：TN929.5

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