Francisco Rau (DC4)

Objectives: This includes investigating (i) 802.11 MAC scheduling algorithms for ultra-dense hybrid WSN (a  mixture of Wi-Fi, OWC, and PLC technologies),  with different traffic patterns, including media applications and sensor communications; (ii) AI/ML-driven MAC scheduling algorithms for 802.11ax networks and beyond; (iii) energy-efficient awareness mechanisms to include in the MAC scheduler; trade-offs between high data rate and low energy consumption stations; and (iv); the design and implementation of relevant scenarios to evaluate the performance of the envisaged solutions in a network simulator; as well as determine Key Performance Indicators (KPI) to effectively evaluate the performance of the envisaged solutions.

Supervisor: Dr. Carlos Herranz

Co-Supervisors: Dr. Iñaki Val, Prof. Joaquin Perez Soler