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20212023
most citedHeterogeneous GNN-RL Based Task Offloading for UAV-aided Smart Agriculture

23 citations · 33 across the 12 of their papers we have counts for

collaborators

13 papers

cs.NI2023

Channel Selection for Wi-Fi 7 Multi-Link Operation via Optimistic-Weighted VDN and Parallel Transfer Reinforcement Learning

Pedro Enrique Iturria-Rivera, Marcel Chenier, Bernard Herscovici +2

Dense and unplanned IEEE 802.11 Wireless Fidelity(Wi-Fi) deployments and the continuous increase of throughput and latency stringent services for users have led to machine learning…

cs.NI202323 cited

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…

cs.LG20234 cited

Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning

Mina Razghandi, Hao Zhou, Melike Erol-Kantarci +1

Recent years have noticed an increasing interest among academia and industry towards analyzing the electrical consumption of residential buildings and employing smart home energy m…

cs.NI2023

RL meets Multi-Link Operation in IEEE 802.11be: Multi-Headed Recurrent Soft-Actor Critic-based Traffic Allocation

Pedro Enrique Iturria Rivera, Marcel Chenier, Bernard Herscovici +2

IEEE 802.11be -Extremely High Throughput-, commercially known as Wireless-Fidelity (Wi-Fi) 7 is the newest IEEE 802.11 amendment that comes to address the increasingly throughput h…

cs.NI2023

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…

eess.SP2023

Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning

Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou +4

The growing adoption of mmWave frequency bands to realize the full potential of 5G, turns beamforming into a key enabler for current and next-generation wireless technologies. Many…