IPOSEE: Intelligent and Proactive Optimisation for Service-centric Wireless Networks (RANPLAN joint proposal non-lead partner)

无线网络已成为公民、企业和垂直行业不可或缺的一部分，例如运输(包括自动驾驶车辆和无人机)、物流、公用事业和制造业，因为无线连接对于工业和业务流程以及客户体验的数字化转型至关重要。因此，无线网络面临着日益多样化的服务需求，这表明现有的反应式网络管理将是不够的，而以服务为中心的网络的智能和主动控制变得至关重要。未来的智能无线网络依赖于几个多学科的突破：(I)能够准确预测服务需求的时空模式并从而推动无线网络的主动优化的人工智能(AI)算法；(Ii)可重新配置的无线接入网络(RAN)和无线环境；以及(Iii)成本更低、性能更好、可靠性更高的自动化无线服务提供。目前使用数据驱动的人工智能自动优化以服务为中心的无线网络的研究正面临许多亟需解决的开放挑战。在这个项目中，我们将利用不断增长的数据可用性和先进的数据科学技术，以及人工智能算法和技术来实现上述多学科的突破，从而实现可靠的自动化无线服务提供。

Wireless networks have become indispensable to citizens, enterprises and vertical industries, e.g., transport (including autonomous vehicles and drones), logistics, utilities and manufacturing, because wireless connectivity is essential to the digital transformation of industrial and business processes and customer experiences. As a result, wireless networks are facing increasingly diverse service requirements, which indicate that existing reactive network management will be insufficient, while intelligent and proactive control of service-centric networks becomes essential. Future intelligent wireless networks rely on several multidisciplinary breakthroughs: (i) Artificial Intelligence (AI) algorithms that can accurately predict spatial-temporal patterns of service demand and thereby drive proactive optimisation of wireless networks, (ii) reconfigurable radio access networks (RAN) and wireless environments, and (iii) automated wireless service provisioning with reduced cost, improved performance and greater reliability. Current research to automate the optimisation of service-centric wireless networks using data-driven AI is facing many open challenges that need to be urgently addressed. In this project, we will take advantage of growing data availability and advanced data science technologies, as well as AI algorithms and techniques to deliver the above identified multidisciplinary breakthroughs, thereby enabling reliable automated wireless service provisioning.