Radio Resource Management for mMTC scenario
Prof.ssa PANNO Daniela
In the massive Machine Type Communication (mMTC) usage scenario, also known as massive Internet of Things (mIoT), important research objectives are maximizing the connectivity capacity for millions of devices per square kilometer and minimizing energy consumption to extend the life of the devices themselves. In this context, the project aims to define new radio access schemes exploiting AI techniques, and new algorithms to allocate radio resources based on innovative Non-Orthogonal Multiple Access techniques (NOMA).
Study cycle:
undergraduate
Languages skills required:
English B1
Length:
2 months
Period:
second semester
Summer traineeships:
no
Research centre/company involved:
Università di Catania - Dipartimento di Ingegneria Elettrica, Elettronica e Informatica
Insurance:
Accident insurance during working hours only and Liability insurance
Position reserved for partner university within Erasmus bilateral traineeship agreement (specify the name of the university):
Laboratori DIEEI
Benefits:
none
Traineeship type:
non Erasmus placement
A.Y.:
2019-2020