Mobility-Aware Resource Allocation in IoRT Network for Post-Disaster Communications with Parameterized Reinforcement Learning

H Kabir, ML Tham, YC Chang, CO Chow, Y Owada - Sensors, 2023 - mdpi.com
Natural disasters, including earthquakes, floods, landslides, tsunamis, wildfires, and
hurricanes, have become more common in recent years due to rapid climate change. For …

Twin Delayed DDPG based Dynamic Power Allocation for Mobility in IoRT

H Kabir, ML Tham, YC Chang - Journal of Communications Software …, 2023 - hrcak.srce.hr
Sažetak The internet of robotic things (IoRT) is a modern as well as fast-evolving technology
employed in abundant socio-economical aspects which connect user equipment (UE) for …

Wireless access control in edge-aided disaster response: A deep reinforcement learning-based approach

H Zhou, X Wang, M Umehira, X Chen, C Wu… - IEEE Access, 2021 - ieeexplore.ieee.org
The communication infrastructure is most likely to be damaged after a major disaster
occurred, which would lead to further chaos in the disaster stricken area. Modern rescue …

Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas

M Dhuheir, A Erbad, A Al-Fuqaha… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Over the past decade, Unmanned Aerial Vehicles (UAVs) have attracted significant attention
due to their potential applications in emergency-response applications, including wireless …

Data-enabled learning based intelligent resource allocation for multi-ris assisted dynamic wireless network

Y Zhang, H Xu - 2022 IEEE Globecom Workshops (GC Wkshps …, 2022 - ieeexplore.ieee.org
This paper investigated the optimal dynamic re-source allocation problem for multi mobile
reconfigurable intelligent surface (RIS) aided wireless network with uncertain time-varying …

[HTML][HTML] Optimizing Drone Energy Use for Emergency Communications in Disasters via Deep Reinforcement Learning

W Qiu, X Shao, H Masui, W Liu - Future Internet, 2024 - mdpi.com
For a communication control system in a disaster area where drones (also called unmanned
aerial vehicles (UAVs)) are used as aerial base stations (ABSs), the reliability of …

Multi-agent RL for SDN-based resource allocation in HAPS-assisted IoV networks

AM Seid, A Erbad - ICC 2023-IEEE International Conference on …, 2023 - ieeexplore.ieee.org
The high-altitude platform station (HAPS) is a promising 6G network technology that can
meet the stringent requirements for high reliability, ultra-reliable low latency, and large …

Disaster Resilient Emergency Communication With Intelligent Air-Ground Cooperation

X Tang, F Chen, F Wang, Z Jia - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Featured by low cost and high mobility, unmanned aerial vehicles (UAVs)-ground assisted
communication has been considered as a promising solution to provide fast service …

Joint resource allocation, task processing, and trajectory design for UAV-assisted Industrial IoT users in 6G networks

A Mohammadisarab, A Khalili, A Nouruzi… - … IEEE Conference on …, 2022 - ieeexplore.ieee.org
This paper proposes a disaster relief service (DRS) method in hierarchical non-terrestrial
networks (HNTNs). We aim to maximize the number of satisfactory connections (NSCs) by …

Resource allocation for multi-UAV assisted IoT networks: A deep reinforcement learning approach

YY Munaye, RT Juang, HP Lin… - … on Pervasive Artificial …, 2020 - ieeexplore.ieee.org
The wireless communication system for the massively heterogeneous Internet of Things
(IoT) network hinders the allocation of resources. For this study, an unmanned aerial vehicle …