Machine Intelligence and Big Data Analytics for 5G Networks and Beyond**

下一代移动网络5G预计将通过提供超可靠的高速通信基础设施来改变现代社会，到2020年将连接超过300亿台设备。由于与以前的网络相比，这种未来网络的复杂性将是前所未有的，因此它们的成功在很大程度上取决于能够控制其运行并降低成本的智能网络管理工具。在该项目中，我们将基于创新的机器学习和大数据分析技术，为未来5G网络开发智能管理解决方案套件。这些解决方案将使网络能够自诊断和自组织，并将在减少资本和运营支出的同时增强网络容量和用户服务。这项研究将由一个多学科团队进行，该团队由移动通信、机器学习和大数据分析以及导航和定位方面的专家领导。三名博士和四名硕士学生以及两名博士后将接受应用机器智能和分析方面的全面培训，这是在当今就业市场取得成功的关键资产。在我们的工业合作伙伴爱立信的协助下，该项目也将按照最佳工业实践和严格性进行实施和评估。爱立信是通信技术领域的全球领导者，承载着全球40%的移动流量，拥有约23,700名从事研发活动的员工。我们的研究将促进未来5G网络采用复杂的分析驱动解决方案，所吸取的经验教训也将为5G以外的网络设计提供宝贵的指导。因此，它将把加拿大电信部门定位为创新的推动者和领导者，吸引更多的研发投资。

5G, the next generation mobile network, is anticipated to transform modern societies by providing an ultra-reliable, high-speed communications infrastructure that will connect more than 30 billion devices by 2020. As the complexity of such future networks will be unprecedented compared to earlier networks, their success is largely dependent on intelligent network management tools that can control their operation and reduce costs. In this project, we will develop a smart management solution suite for future 5G networks based on innovative machine learning and big data analytics techniques. The solutions will enable networks to be self-diagnosing and self-organizing and will enhance network capacity and user service while reducing capital and operating expenditures. The research will be carried out by a multidisciplinary team led by experts in mobile communications, machine learning and big data analytics, and navigation and positioning. Three PhD and four MSc students and two postdoctoral fellows will receive comprehensive training in applied machine intelligence and analytics, which are key assets for success in today's job market. The project will also be implemented and evaluated following the best industrial practices and rigor, facilitated by our industrial partner, Ericsson. Ericsson is a global leader in communication technologies, carrying 40% of the world's mobile traffic and employing approximately 23,700 employees in research and development activities. Our research will facilitate the adoption of sophisticated analytics-driven solutions for future 5G networks, and the lessons learned will provide valuable guidance for the design of networks beyond 5G as well. It will, therefore, position the Canadian telecommunications sector as a driver and leader in innovation, attracting further investments in research and development.