移动网络中QoE驱动的缓存隐私保护与资源联合调度技术研究

当前复杂移动网络环境下大规模用户、多样化业务和个性化服务依赖于高质量的缓存服务与资源调度技术。现有研究方案由于存在多维数据感知不全、隐私保护维度单一及资源调度缺乏协同等问题，造成移动用户体验质量、缓存隐私保护性能及服务资源调度效率得不到有效保障，难以适应未来移动网络下的服务发展需求。为此，本课题拟开展移动网络中QoE驱动的缓存隐私保护与资源联合调度技术研究。具体包括：（1）构建QoE驱动的多维立体感知与智能评估模型，全面挖掘多维数据间的深层关联特征，评估移动用户的QoE需求；（2）研究基于深度强化学习的隐私保护缓存服务策略，缓解移动网络流量负载，增强缓存服务的效率和隐私安全性；（3）建立面向自反馈调优的联合优化资源调度机制，提升网络资源调度效率和移动用户体验质量。通过以上研究，实现满足用户QoE需求的移动网络缓存服务与资源调度，为高质量、安全性和智能化的移动网络服务提供有力支持。

Recently, in the complex mobile network environment, large scale users, diversified business and personality service are depending on the high quality service caching and resource scheduling technology. However, existing research schemes have problems such as incomplete multi-dimensional data perception, single privacy protection dimension, and lack of coordination in resources scheduling, resulting in the ineffective guarantee of mobile user experience quality, cache privacy protection performance, and service resource scheduling efficiency. It is difficult to adapt to the service development needs of future mobile networks. In order to address these problems, this project aims to carry out the research on QoE-driven caching privacy preserving and resource joint scheduling technology in mobile networks. The main contents include: (1) Constructing a QoE-driven perception and estimation model of multi-dimensional user characteristics and network state for obtaining deep relevant features between them comprehensively and estimating users’ QoE requirements. (2) Researching on the privacy protection caching service strategy based on deep reinforcement learning for alleviating the traffic load of mobile networks, enhancing the efficiency and privacy security of caching services. (3) Establishing a joint optimization resource scheduling mechanism for self-feedback tuning to improve resource scheduling efficiency and the service quality of mobile users. Through the above researches, the intelligent mobile network services caching and resource scheduling that satisfies the users’ QoE can be realized, thus providing strong support for highly quality, security and intelligent mobile network services.