60 citations · 201 across the 11 of their papers we have counts for
11 papers
Heterogeneous GNN-RL Based Task Offloading for UAV-aided Smart Agriculture
Turgay Pamuklu, Aisha Syed, W. Sean Kennedy +1
Having unmanned aerial vehicles (UAVs) with edge computing capability hover over smart farmlands supports Internet of Things (IoT) devices with low processing capacity and power to…
To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs
Anne Catherine Nguyen, Turgay Pamuklu, Aisha Syed +2
A deep reinforcement learning technique is presented for task offloading decision-making algorithms for a multi-access edge computing (MEC) assisted unmanned aerial vehicle (UAV) n…
Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul
Nien Fang Cheng, Turgay Pamuklu, Melike Erol-Kantarci
Network slicing envisions the 5th generation (5G) mobile network resource allocation to be based on different requirements for different services, such as Ultra-Reliable Low Latenc…
IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture
Turgay Pamuklu, Anne Catherine Nguyen, Aisha Syed +2
Aerial base stations (ABSs) allow smart farms to offload processing responsibility of complex tasks from internet of things (IoT) devices to ABSs. IoT devices have limited energy a…
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks
Anne Catherine Nguyen, Turgay Pamuklu, Aisha Syed +2
The fifth and sixth generations of wireless communication networks are enabling tools such as internet of things devices, unmanned aerial vehicles (UAVs), and artificial intelligen…
Reinforcement Learning-Based Deadline and Battery-Aware Offloading in Smart Farm IoT-UAV Networks
Anne Catherine Nguyen, Turgay Pamuklu, Aisha Syed +2
Unmanned aerial vehicles (UAVs) with mounted base stations are a promising technology for monitoring smart farms. They can provide communication and computation services to extensi…