Edge-enhanced graph neural network for DU-CU placement and lightpath provision in X-Haul networks
The emerging mobile services have imposed several new challenges on the radio access
network (RAN), which stimulates its evolution from cloud-RAN to next-generation RAN (NG …
network (RAN), which stimulates its evolution from cloud-RAN to next-generation RAN (NG …
Service-oriented DU-CU placement using reinforcement learning in 5G/B5G converged wireless-optical networks
Service-Oriented DU-CU Placement using Reinforcement Learning in 5G/B5G Converged
Wireless-Optical Networks Page 1 Service-oriented DU-CU Placement Using Reinforcement …
Wireless-Optical Networks Page 1 Service-oriented DU-CU Placement Using Reinforcement …
Energy-efficient DU-CU deployment and lightpath provisioning for service-oriented 5G metro access/aggregation networks
Y Xiao, J Zhang, Y Ji - Journal of Lightwave Technology, 2021 - opg.optica.org
To accommodate ever-growing mobile data and heterogeneous 5G services, considerable
challenges have emerged to stimulate new design principles on radio access networks …
challenges have emerged to stimulate new design principles on radio access networks …
Deep reinforcement learning-based mode selection and resource management for green fog radio access networks
Fog radio access networks (F-RANs) are seen as potential architectures to support services
of Internet of Things by leveraging edge caching and edge computing. However, current …
of Internet of Things by leveraging edge caching and edge computing. However, current …
A novel duplex deep reinforcement learning based RRM framework for next-generation V2X communication networks
Resource management in the next-generation vehicle-to-everything (V2X) communication
networks is a demanding research problem. It is difficult to achieve the best results if the …
networks is a demanding research problem. It is difficult to achieve the best results if the …
Deep learning (DL) based joint resource allocation and RRH association in 5G-multi-tier networks
Fifth-Generation (5G) networks have adopted a multi-tier structural model which includes
femtocells, picocells, and macrocells to ensure the user quality-of-service (QoS). To meet …
femtocells, picocells, and macrocells to ensure the user quality-of-service (QoS). To meet …
Machine learning-based cell-free support in the O-RAN architecture: an innovative converged optical-wireless solution toward 6G networks
JS Vardakas, K Ramantas… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
One of the most crucial challenges for the global socio-technical domain nowadays is the
support of unprecedented use cases for a variety of applications such as augmented reality …
support of unprecedented use cases for a variety of applications such as augmented reality …
Evolution toward 6G wireless networks: A resource management perspective
In this article, we first present the vision, key performance indicators, key enabling
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
Artificial intelligence for smart resource management in multi-user mobile heterogeneous RF-light networks
Recent trends in 5G and beyond wireless networks have encouraged the migration from the
already congested radio frequency (RF) spectrum to higher frequency bands. In this context …
already congested radio frequency (RF) spectrum to higher frequency bands. In this context …
Deep reinforcement learning-based routing and spectrum assignment of EONs by exploiting GCN and RNN for feature extraction
Deep reinforcement learning (DRL) has been introduced to the routing and spectrum
assignment (RSA) of elastic optical networks (EONs) where the RSA policies are learnt …
assignment (RSA) of elastic optical networks (EONs) where the RSA policies are learnt …