activity
20182026
most citedModel-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks

14 citations · 17 across the 18 of their papers we have counts for

collaborators
Showing 2022 · eess.SYShow all

1 paper · 2 filters

eess.SY2022

Sum Capacity Maximization in Multi-Hop Mobile Networks with Flying Base Stations

Mohammadsaleh Nikooroo, Omid Esrafilian, Zdenek Becvar +1

Deployment of multi-hop network of unmanned aerial vehicles (UAVs) acting as flying base stations (FlyBSs) presents a remarkable potential to effectively enhance the performance of…