Deep reinforcement learning-based resource allocation in cooperative UAV-assisted wireless networks
We consider the downlink of an unmanned aerial vehicle (UAV) assisted cellular network
consisting of multiple cooperative UAVs, whose operations are coordinated by a central …
consisting of multiple cooperative UAVs, whose operations are coordinated by a central …
Resource allocation in an open RAN system using network slicing
MK Motalleb, V Shah-Mansouri… - … on Network and …, 2022 - ieeexplore.ieee.org
The next radio access network (RAN) generation, open RAN (O-RAN), aims to enable more
flexibility and openness, including efficient service slicing, and to lower the operational costs …
flexibility and openness, including efficient service slicing, and to lower the operational costs …
LayBack: SDN management of multi-access edge computing (MEC) for network access services and radio resource sharing
Existing radio access networks (RANs) allow only for very limited sharing of the
communication and computation resources among wireless operators and heterogeneous …
communication and computation resources among wireless operators and heterogeneous …
Deep reinforcement learning-based joint user association and cu–du placement in o-ran
Open Radio Access Networks (O-RAN) architecture is based on disaggregation,
virtualization, openness, and intelligence. These features allow the RAN network functions …
virtualization, openness, and intelligence. These features allow the RAN network functions …
Network-aided intelligent traffic steering in 6g O-RAN: A multi-layer optimization framework
To enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G
networks, considerable efforts have been made in standardization and development of open …
networks, considerable efforts have been made in standardization and development of open …
Joint network control and resource allocation for space-terrestrial integrated network through hierarchal deep actor-critic reinforcement learning
Conventional approaches to network control and resource allocation by allocating dedicated
spectrum resources and separate infrastructure for massive Internet of Things (IoT) network …
spectrum resources and separate infrastructure for massive Internet of Things (IoT) network …
Joint network slicing and mobile edge computing in 5G networks
Mobile traffic generated by a variety of services is rapidly increasing in volume. Both network
and computation resources in a single edge network are therefore often too limited to …
and computation resources in a single edge network are therefore often too limited to …
Bandwidth and energy-aware resource allocation for cloud radio access networks
Cloud radio access network (C-RAN) is emerging as a transformative paradigmatic
architecture for the next generation of cellular networks. In this paper, a novel resource …
architecture for the next generation of cellular networks. In this paper, a novel resource …
Auction based cost‐efficient resource allocation by utilizing blockchain in fog computing
In the IoT‐cloud environment, the growing amount of spawn data may limit performance in
terms of communication latency, network traffic, processing power, and energy usage. The …
terms of communication latency, network traffic, processing power, and energy usage. The …
SDN-enabled resource management for converged Fi-Wi 5G Fronthaul
Future mobile networks will offer high data rates based on high-capacity fronthaul. Current
fronthaul design has two main components that communicate via the common public radio …
fronthaul design has two main components that communicate via the common public radio …