Collaborative Intelligent Computing Services in Integrated space-air-terrestrial Networks

With the advent of 6G, the proliferation of connected devices continues its exponential growth, spanning diverse applications such as IoT devices, video streaming platforms, surveillance cameras, and AR/VR, among others. Each application brings unique service requirements, necessitating a highly adaptable and efficient communication infrastructure. However, the computational capabilities of traditional servers housed in Roadside Units (RSUs) and Mobile Edge Computing (MEC) centers face significant challenges in meeting the high demands of user requests. Non-Terrestrial Networks (NTN), comprising innovative solutions like Unmanned Aerial Vehicles (UAVs), High Altitude Platforms (HAPs), and satellite systems, offer additional capacity and communication avenues. 

The candidate in this role is expected to delve into the multifaceted landscape of intelligent and distributed computing within the realm of 5G/6G and aim to unlock new possibilities for enhancing connectivity, scalability, and reliability in future communication networks [1,2,3,4]. The problems to study during this role include but are not limited to, UAV as an access network, computation offloading and NFV placement in integrated air-ground networks. The candidate will formulate the problems and exploit optimization and ML-based techniques to solve the problems to improve the Key Performance Indicators in future communication networks.