Efficient resource allocation in 6G Networks using deep learning

Imaging and Sensing Research Group

Efficient resource allocation in 6G Networks using deep learning

Sixth Generation (6G) is a new emerging wireless technology that is gaining attention from academic and industry researchers

One of the important design questions for 6G networks will be efficient resource allocation among various users and devices close to the edge of the network without going to the cloud or some other centralised places. Resource allocation requirements are both at the user level and also at the network level.

At the user level, it is important to know that how mobile users can efficiently use the computational resources among themselves and from the network. At the network level, the research question is that how various edge networks can efficiently allocate and use resources so that user tasks can be performed effectively and quickly. This project investigates both of these research questions.

Project status

In progress.

Researchers

  • Syed Usman Jamil
  • M Arif Khan
  • Sabih Rehman