activity
20192022
most citedTrajectory Optimization of Flying Energy Sources using Q-Learning to Recharge Hotspot UAVs

31 citations · 33 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2022

Decoding Neural Signals: Invasive BMI Review

Rezwan Firuzi, Ayub Bokani, Jahan Hassan +4

Human civilization has witnessed transformative technological milestones, from ancient fire lighting to the internet era. This chapter delves into the invasive brain machine interf…

cs.NI2022★ 2 cited

An Optimal Multi-UAV Deployment Model for UAV-assisted Smart Farming

Shavbo Salehi, Jahan Hassan, Ayub Bokani

Next-generation wireless networks will deploy UAVs dynamically as aerial base stations (UAV-BSs) to boost the wireless network coverage in the out of reach areas. To provide an eff…

cs.NI2020

Energy and Service-priority aware Trajectory Design for UAV-BSs using Double Q-Learning

Sayed Amir Hoseini, Ayub Bokani, Jahan Hassan +2

Next-generation mobile networks have proposed the integration of Unmanned Aerial Vehicles (UAVs) as aerial base stations (UAV-BS) to serve ground nodes. Despite having advantages o…

cs.NI2020★ 31 cited

Trajectory Optimization of Flying Energy Sources using Q-Learning to Recharge Hotspot UAVs

Sayed Amir Hoseini, Jahan Hassan, Ayub Bokani +1

Despite the increasing popularity of commercial usage of UAVs or drone-delivered services, their dependence on the limited-capacity on-board batteries hinders their flight-time and…

cs.NI2019

Recharging of Flying Base Stations using Airborne RF Energy Sources

Jahan Hassan, Ayub Bokani, Salil S. Kanhere

This paper presents a new method for recharging flying base stations, carried by Unmanned Aerial Vehicles (UAVs), using wireless power transfer from dedicated, airborne, Radio Freq…