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05/03/2023
Heterogeneous GNN-RL Based Task Offloading for UAV-aided Smart Agriculture
Having unmanned aerial vehicles (UAVs) with edge computing capability ho...
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02/14/2023
To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs
A deep reinforcement learning technique is presented for task offloading...
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11/14/2022
Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul
Network slicing envisions the 5th generation (5G) mobile network resourc...
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09/15/2022
IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture
Aerial base stations (ABSs) allow smart farms to offload processing resp...
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09/15/2022
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks
The fifth and sixth generations of wireless communication networks are e...
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01/25/2022
Reinforcement Learning-Based Deadline and Battery-Aware Offloading in Smart Farm IoT-UAV Networks
Unmanned aerial vehicles (UAVs) with mounted base stations are a promisi...
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09/30/2021
Energy-Efficient and Delay-Guaranteed Joint Resource Allocation and DU Selection in O-RAN
The radio access network (RAN) part of the next-generation wireless netw...
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12/06/2020
Reinforcement Learning Based Dynamic Function Splitting in Disaggregated Green Open RANs
With the growing momentum around Open RAN (O-RAN) initiatives, performin...
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06/15/2020
Renewable Energy Assisted Function Splitting in Cloud Radio Access Networks
Cloud-Radio Access Network (C-RAN) is a promising network architecture t...
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06/15/2020
Reducing the total cost of ownership in radio access networks by using renewable energy resources
Increasing electricity prices motivates the mobile network operators to ...
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05/18/2020