4 papers
Efficient and Sustainable Task Offloading in UAV-Assisted MEC Systems via Meta Deep Reinforcement Learning
Maryam Farajzadeh Dehkordi, Bijan Jabbari
Integrated into existing Mobile Edge Computing (MEC) systems, Unmanned Aerial Vehicles (UAVs) serve as a cornerstone in meeting the stringent requirements of future Internet of Thi…
Joint Long-Term Processed Task and Communication Delay Optimization in UAV-Assisted MEC Systems Using DQN
Maryam Farajzadeh Dehkordi, Bijan Jabbari
Mobile Edge Computing (MEC) assisted by Unmanned Aerial Vehicle (UAV) has been widely investigated as a promising system for future Internet-of-Things (IoT) networks. In this conte…
Meta Reinforcement Learning for Resource Allocation in Multi-Antenna UAV Network with Rate Splitting Multiple Access
Hosein Zarini, Maryam Farajzadeh Dehkordi, Armin Farhadi +5
Unmanned aerial vehicles (UAVs) with multiple antennas have recently been explored to improve capacity in wireless networks. However, the strict energy constraint of UAVs, given th…
On the Performance of Unmanned Aerial Vehicles with MIMO VLC
Hosein Zarini, Amir Mohammadisarab, Maryam Farajzadeh Dehkordi +5
This paper centers around a multiple-input-multiple-output (MIMO) visible light communication (VLC) system, where an unmanned aerial vehicle (UAV) benefits from a light emitting di…