Proactive User-Centric Networking for Next Generation Wireless Communications

下一代通信系统不仅可以为移动通信用户提供随时随地的连接，还可以为几乎所有的物理事物提供连接，预计将彻底改变人类社会的各个方面。基于人工智能（AI）技术的新网络架构、运营和优化解决方案代表了全球移动网络演进范式，以支持无线数据流量的指数级增长以及新的无线用例和服务。在该项目中，我们将利用机器学习和大数据信息学方面的先进工具，为下一代无线通信系统研究和开发具有成本效益的网络部署策略、自适应网络协议和主动资源管理机制。研究的目的是为无线网络资源的灵活部署，适应预测的数据流量和业务需求，促进网络的自学习、自诊断和自修复提供工程解决方案，使网络响应更快，错误更少，同时减少人为参与网络管理。网络智能的实现将是开发更高效、可扩展、完全可编程和自动化的无线网络的重要一步，从而以低成本实现灵活的定制服务。全球通信领域的人工智能市场将以40%以上的年复合增长率蓬勃发展。因此，开发创新的基于人工智能的下一代无线通信系统的竞赛无疑将由世界各地的研究小组进行。该项目将产生新的想法和技术，为加拿大用户带来重大利益，并将为加拿大信息通信技术产业在国际市场上培育至关重要的竞争优势。五名博士生和五名博士后，以及九名合作学生将参与该项目，开发无线通信系统的最新创新，成为加拿大高科技产业劳动力的专家补充。

The next-generation communication systems are envisioned to revolutionize throughout every aspect of human society by providing anywhere and anytime connectivity to not only mobile communication users, but also almost all physical things. New network architecture, operation, and optimization solutions based on artificial intelligence (AI) technologies represent a worldwide mobile network evolution paradigm, to support the exponential growth of wireless data traffic and new wireless use cases and services. In this project, we will investigate and develop cost-effective network deployment strategies, adaptive network protocols, and proactive resource management mechanisms for next-generation wireless communication systems, leveraging advanced tools in machine learning and big data informatics. The research aims at engineering solutions for flexible deployment of wireless network resources, adaptive to the predicted data traffic and service demands, and for facilitating network self-learning, self-diagnosing, and self-healing, to make the network more responsive and less erroneous, while reducing human involvement in the network management. The realization of network intelligence will be an essential step for developing more efficient, scalable, fully programmable, and automated wireless networks, to achieve agile customized services at low cost. The global market for AI in telecommunication will propel vigorously at a compound annual growth rate of over forty percent. As a result, the race towards developing innovative AI-based next-generation wireless communication systems will undoubtedly be undertaken by research groups worldwide. This project will generate new ideas and techniques that will provide significant benefits to Canadian users, and will foster a vital competitive edge to Canadian ICT industries in the international market place. Five PhD students and five postdoctoral fellows, together with nine co-op students, will participate in the project to develop the latest innovations in wireless communication systems, emerging as expert additions to the Canadian high technology industry labor force.