2020
Giuseppi, Alessandro; Pietrabissa, Antonio; Liberati, Francesco; Germanà, Roberto; Priscoli, Francesco Delli
Traffic steering and network selection in 5G networks based on Reinforcement Learning Proceedings Article
In: European Control Conference 2020, 2020.
Abstract | Links | BibTeX | Tags: 5G, Network Selection, reinforcement learning, traffic steering
@inproceedings{Giuseppi2020f,
title = {Traffic steering and network selection in 5G networks based on Reinforcement Learning},
author = {Alessandro Giuseppi and Antonio Pietrabissa and Francesco Liberati and Roberto German\`{a} and Francesco Delli Priscoli},
doi = {10.23919/ECC51009.2020.9143837},
year = {2020},
date = {2020-07-20},
urldate = {2020-07-20},
booktitle = {European Control Conference 2020},
abstract = {This paper presents a controller for the problem of Network Selection in 5G Networks, based on Reinforcement Learning. The problem of Network Selection and Traffic Steering is modeled as a Markov Decision Process and a Q- Learning based control solution is designed to meet 5G requirements, such as Quality of Experience (QoE) maximization, Quality of Service (QoS) assurance and load balancing. Numerical simulations preliminarily validate the proposed approach on a simulated scenario considered in the European project H2020 5G-ALLSTAR.},
keywords = {5G, Network Selection, reinforcement learning, traffic steering},
pubstate = {published},
tppubtype = {inproceedings}
}
Choi, Taesang; Won, Seok Ho; Giuseppi, Alessandro; Pietrabissa, Antonio; Kwon, Sungoh
Management and Orchestration Architecture for Integrated Access of Satellite and Terrestrial in 5G Proceedings Article
In: 2020 International Conference on Information Networking (ICOIN), pp. 40-45, 2020, ISSN: 1976-7684.
Abstract | Links | BibTeX | Tags: 5G, Computer architecture, heterogeneous network, high data rate, integrated access, load-balancing, management and orchestration, management standardization, mobility management (mobile radio), multi-connectivity, multiple different radio access technologies, network resources, orchestration architecture, QoS/QoE management, Quality of experience, Quality of service, radio access networks, Rats, reliability, satellite, telecommunication traffic, traffic steering, ultra-low latency
@inproceedings{Choi2020,
title = {Management and Orchestration Architecture for Integrated Access of Satellite and Terrestrial in 5G},
author = {Taesang Choi and Seok Ho Won and Alessandro Giuseppi and Antonio Pietrabissa and Sungoh Kwon},
doi = {10.1109/ICOIN48656.2020.9016484},
issn = {1976-7684},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {2020 International Conference on Information Networking (ICOIN)},
pages = {40-45},
abstract = {Multi-RAT access network, or heterogeneous access network, is considered to be the key enabling technology to satisfy the 5G requirements, such as high data rate, ultra-low latency and reliability. To make efficient use of all the available network resources, various research activities on multi-connectivity have been proposed to simultaneously connect, steer, and orchestrate across multiple different radio access technologies. Standardization of the management and orchestration of multi-connectivity environment, however, has just been initiated, thus further research and development is required. This paper proposes a novel management and orchestration architecture for integrated access of satellite and terrestrial in 5G. It especially focuses on the traffic steering and load-balancing of heterogeneous multi-RAT access environment.},
keywords = {5G, Computer architecture, heterogeneous network, high data rate, integrated access, load-balancing, management and orchestration, management standardization, mobility management (mobile radio), multi-connectivity, multiple different radio access technologies, network resources, orchestration architecture, QoS/QoE management, Quality of experience, Quality of service, radio access networks, Rats, reliability, satellite, telecommunication traffic, traffic steering, ultra-low latency},
pubstate = {published},
tppubtype = {inproceedings}
}