Learning in the Sky: An Efficient 3D Placement of UAVs

no code implementations • 2 Mar 2020 • Atefeh Hajijamali Arani, M. Mahdi Azari, William Melek, Safieddin Safavi-Naeini

Deployment of unmanned aerial vehicles (UAVs) as aerial base stations can deliver a fast and flexible solution for serving varying traffic demand.

Mobile Cellular-Connected UAVs: Reinforcement Learning for Sky Limits

no code implementations • 21 Sep 2020 • M. Mahdi Azari, Atefeh Hajijamali Arani, Fernando Rosas

A cellular-connected unmanned aerial vehicle (UAV)faces several key challenges concerning connectivity and energy efficiency.

reinforcement-learning Reinforcement Learning (RL)

Spectrum Sharing Strategies for UAV-to-UAV Cellular Communications

no code implementations • 18 Aug 2020 • M. Mahdi Azari, Giovanni Geraci, Adrian Garcia-Rodriguez, Sofie Pollin

In this article, we consider a cellular network deployment where UAV-to-UAV (U2U) transmit-receive pairs coexist with the uplink (UL) of cellular ground users (GUEs).

THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offs

no code implementations • 13 Jan 2022 • M. Mahdi Azari, Sourabh Solanki, Symeon Chatzinotas, Mehdi Bennis

Envisioned use cases of unmanned aerial vehicles (UAVs) impose new service requirements in terms of data rate, latency, and sensing accuracy, to name a few.