A review of machine learning techniques for enhanced energy efficient 5G and 6G communications
TP Fowdur, B Doorgakant - Engineering Applications of Artificial …, 2023 - Elsevier
Cellular technologies have evolved continuously from the 1st to the 5th generation (5G) to
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …
Supporting intelligence in disaggregated open radio access networks: Architectural principles, AI/ML workflow, and use cases
Driven by the emerging trend for transparent, open and programmable communications,
Open Radio Access Network (O-RAN) constitutes the dominant architectural approach for …
Open Radio Access Network (O-RAN) constitutes the dominant architectural approach for …
ML-based radio resource management in 5G and beyond networks: A survey
In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …
Deep reinforcement learning for energy-efficient multi-channel transmissions in 5G cognitive hetnets: Centralized, decentralized and transfer learning based solutions
Energy efficiency (EE) constitutes a key target in the deployment of 5G networks, especially
due to the increased densification and heterogeneity. In this paper, a Deep Q-Network …
due to the increased densification and heterogeneity. In this paper, a Deep Q-Network …
A cost-efficient 5G non-public network architectural approach: Key concepts and enablers, building blocks and potential use cases
The provision of high data rate services to mobile users combined with improved quality of
experience (ie, zero latency multimedia content) drives technological evolution towards the …
experience (ie, zero latency multimedia content) drives technological evolution towards the …
A novel blockchain based secured and QoS aware IoT vehicular network in edge cloud computing
A software-defined vehicular network is made up of an IoT (Internet of Things) based
vehicular ad-hoc network and a software-defined network. For better communication in IoT …
vehicular ad-hoc network and a software-defined network. For better communication in IoT …
A reference architecture for cloud–edge meta-operating systems enabling cross-domain, data-intensive, ML-assisted applications: Architectural overview and key …
Future data-intensive intelligent applications are required to traverse across the cloud-to-
edge-to-IoT continuum, where cloud and edge resources elegantly coordinate, alongside …
edge-to-IoT continuum, where cloud and edge resources elegantly coordinate, alongside …
Towards closed-loop automation in 5g open ran: Coupling an open-source simulator with xapps
T Karamplias, ST Spantideas… - 2022 Joint European …, 2022 - ieeexplore.ieee.org
The goal of this paper is to demonstrate the implementation of technological solutions that
will enable the optimization of 5G network resources and services in an automated and self …
will enable the optimization of 5G network resources and services in an automated and self …
Maritime federated learning for decentralized on-ship intelligence
Maritime trade unavoidably influences the economy, transportation and market worldwide.
Deploying efficient, privacy-preserving and environmental-friendly solutions in maritime …
Deploying efficient, privacy-preserving and environmental-friendly solutions in maritime …
Towards 6G Technology: Insights into Resource Management for Cloud RAN Deployment
Rapid advancements in the development of smart terminals and infrastructure, coupled with
a wide range of applications with complex requirements, are creating traffic demands that …
a wide range of applications with complex requirements, are creating traffic demands that …