以用户体验为中心的移动通信网络性能优化关键技术研究

The mobile user experience is essential to mobile network carriers, which can be greatly affected not only by the high dynamics of wireless channels but also the response of the operating system of a mobile device to the up- and down-link data characteristics. Currently, neither can the carrier networks perceive the specific behavior characteristics of end users, nor can mobile devices of users adapt the fast changes of network traffic. Consequently, conventional wireless network optimization schemes such as enlarging the coverage and link bandwidth fail to satisfy the ever-increasing demands of users. To address these issues, the proposed project will be directed in the following three thrusts from both the perspective of networks and that of end users. First, we will propose schemes new network access control and resource allocation solutions combining the input of the network utilization features on user sides. Second, we will also propose accurate performance diagnosis and optimization schemes for mobile devices, leveraging the real-time information of network-level status. Third, we will study novel data processing techniques based on the decomposition of data matrices of network performance measurement. Last, we will develop a 4G network research platform based on real large-scale traces and conduct research on establishing mobile user behavior models, re-designing advanced network applications and Smartphone’s system components, and verifying the efficacy of our proposed schemes. We expect to make innovations and breakthroughs in massive mobile data processing, cross-layer analysis models in mobile networks, and network protocol optimization. We will also establish a protocol and software prototype and publish a number of high quality research papers. The cutting-edge research in this proposed project can provide theoretical and technical support for next-generation mobile networks in China.

无线用户的网络体验不仅受到无线网络环境的影响，同时也受到移动终端系统对网络数据流处理优化的影响。现有无线网络无法从海量网络数据中获取用户网络行为特征，移动终端也缺乏对网络数据流动态变化的感知能力，导致了无法对网络服务和数据处理策略进行深入优化。仅从提高网络覆盖、无线信道质量和网络接入能力的角度优化网络性能，无法达到最大化提升用户网络体验的目标。本项目拟提出：1）移动用户网络特征感知的网络接入控制与资源分配策略；2）基于网络数据流感知的终端系统组件性能诊断与优化方法；3）大规模网络高效数据处理技术；4）构建基于真实移动网络数据驱动的研究测试平台。本项目预期在移动用户网络特征建模及网络接入与资源分配策略，终端系统组件性能诊断与优化技术，移动网络高效数据处理技术研究方面取得创新和突破，并提供相应的原型系统和若干篇高质量论文，为我国下一代移动通信网络建设提供相应的理论与技术支持。

无线用户的网络体验不仅受到无线网络环境的影响，同时也受到移动终端系统对网络数据流处理优化的影响。现有无线网络无法从海量网络数据中获取用户网络行为特征，移动终端也缺乏对网络数据流动态变化的感知能力，导致了无法对网络服务和数据处理策略进行深入优化。仅从提高网络覆盖、无线信道质量和网络接入能力的角度优化网络性能，无法达到最大化提升用户网络体验的目标。本项目完成了: 1）移动用户网络特征感知的网络接入控制与资源分配策略；2）基于网络数据流感知的终端系统组件性能诊断与优化方法；3）大规模网络高效数据处理技术；4）构建基于真实移动网络数据驱动的研究测试平台。在移动用户网络特征建模及网络接入与资源分配策略，终端系统组件性能诊断与优化技术，移动网络高效数据处理技术研究方面取得创新和突破，提供了相应的原型系统和若干篇高质量论文，为我国下一代移动通信网络建设提供相应的理论与技术支持。

内容获取失败，请点击重试