超密集异构网络被认为是应对5G数据业务需求快速增长的重要技术之一，但是网络的超密集异构部署导致基站数量及类型大幅增加，重叠覆盖、能耗加剧、切换频繁、网络共存时的服务连续性难以保障，特别是在用户移动场景下，为网络部署及优化带来了极大的挑战。网络自优化技术作为网络自组织技术的重要组成部分，将成为影响5G网络未来能否成功应用的关键技术环节之一。本项目拟开展针对用户移动性的5G超密集异构网络自优化技术研究，主要研究内容包括用户移动状态下超密集异构网络基站部署密度自优化及自适应动态开关技术、超密集异构网络切换参数自配置及切换策略自优化技术、用户移动状态下的高低频协作组网自优化技术，并开展关键技术标准化与试验验证，在对研究成果进行评估验证的同时进一步通过国际标准化工作进行课题成果的推广应用。

The ultra-dense heterogeneous network is believed as one of the most important solutions to support the rapid increase of data traffic of the 5th generation (5G) networks. But there are several challenges arisen with ultra-dense heterogeneous network deployments, such as the large-amount base stations (BSs), overlapped coverages, increased energy consumptions, frequent handovers and service continuity, especially with user mobility. Therefore, the self-optimization approach is the new paradigm for 5G network deployment and optimization, which will have key impacts on 5G future commercial applications. This project focuses on the self-optimization for 5G ultra-dense heterogeneous networks with user mobility. The research contents include the self-optimization of BS deployment density and corresponding adaptive cell on/off techniques for moving users, handover parameter self-configuration and handover decision self-optimization, service continuity for multi-frequency cooperation in ultra-dense heterogeneous networks. The performance of the proposed schemes will be verified by system-level simulations and field tests. We will actively attend the 3GPP and IMT-2020 standard work to promote the potential applications of the research outcomes.