Deep reinforcement learning based access control for disaster response networks
After a disaster occurred, it is extremely important to reconstruct the network and provide the
communication services to the victims immediately. Deploying MDRU (Movable and …
communication services to the victims immediately. Deploying MDRU (Movable and …
Wireless access control in edge-aided disaster response: A deep reinforcement learning-based approach
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 …
occurred, which would lead to further chaos in the disaster stricken area. Modern rescue …
Deep reinforcement learning-based control framework for radio access networks
AH Ahmed, A Elmokashfi - Proceedings of the 28th Annual International …, 2022 - dl.acm.org
Network performance optimization represents one of the major challenges for mobile
network operators, especially with the increasingly use cases that have diverse performance …
network operators, especially with the increasingly use cases that have diverse performance …
A spectrum-and energy-efficient scheme for improving the utilization of MDRU-based disaster resilient networks
The movable and deployable resource unit (MDRU)-based network provides
communication services in disaster-struck areas where the lack of spectrum and energy …
communication services in disaster-struck areas where the lack of spectrum and energy …
Machine learning-based medium access control protocol for heterogeneous wireless networks: A review
NKS Nayak, B Bhattacharyya - 2021 Innovations in Power and …, 2021 - ieeexplore.ieee.org
This research presents a comprehensive investigation of a Machine Learning (ML)-based
Medium Access Control (MAC) protocol strategy for improving heterogeneous wireless …
Medium Access Control (MAC) protocol strategy for improving heterogeneous wireless …
Deep Reinforcement Learning Enabled Joint Deployment and Beamforming in STAR-RIS Assisted Networks
In the new generation of wireless communication systems, reconfigurable intelligent
surfaces (RIS) and simultaneously transmitting and reflecting reconfigurable intelligent …
surfaces (RIS) and simultaneously transmitting and reflecting reconfigurable intelligent …
Delay aware downlink resource allocation scheme for future generation tactical wireless networks
For a very long time protecting physical border integrity is considered to be a challenging
thing. Government organizations must provide trade operations for economic growth and at …
thing. Government organizations must provide trade operations for economic growth and at …
A Novel Resource Allocation Scheme With Unmanned Aerial Vehicles in Disaster Relief Networks
The growing number of natural disasters results in the infrastructure communication facing
critical challenges. However, existing networks might be destroyed or overloaded in …
critical challenges. However, existing networks might be destroyed or overloaded in …
Optimal Relay Node Selection Using Machine Learning to Extend Coverage in Disaster Area Network
B Langpoklakpam, LK Murry - International Conference on Advanced …, 2023 - Springer
In times of both natural and human-made disasters, the establishment of an emergency
wireless network plays a vital role in saving human lives. Such a network becomes crucial …
wireless network plays a vital role in saving human lives. Such a network becomes crucial …
Federated deep reinforcement learning for user access control in open radio access networks
The Open Radio Access Network (O-RAN) introducing a particular unit known as RAN
Intelligent Controllers (RICs) has been regarded as revolutionary paradigms to support …
Intelligent Controllers (RICs) has been regarded as revolutionary paradigms to support …