Publications

@inproceedings{Giuseppi2020e,

title = {Design and Simulation of the Multi-RAT Load-balancing Algorithms for 5G-ALLSTAR Systems},

author = {Alessandro Giuseppi and Syed Maaz Shahid and Emanuele De Santis and Seok Ho Won and Sungoh Kwon and Taesang Choi},

doi = {10.1109/ICTC49870.2020.9289485},

issn = {2162-1233},

year  = {2020},

date = {2020-12-21},

booktitle = {2020 International Conference on Information and Communication Technology Convergence (ICTC)},

publisher = {IEEE},

abstract = {This paper introduces algorithms for the multi-RAT load balancing function to maximize QoE in terrestrial and satellite combined system developed in the 5G-ALLSTAR project. The pros and cons of the considered algorithms are described and the simulator is also described in the paper with the on-going performance evaluation processes.},

keywords = {5G, load-balancing, multi-connectivity, multi-RAT, Satellite-terrestrial communication},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kim2020,

title = {5G-ALLSTAR: An Integrated Satellite-Cellular System for 5G and Beyond},

author = {Junhyeong Kim and Guido Casati and Antonio Pietrabissa and Alessandro Giuseppi and Emilio Calvanese Strinati and Nicolas Cassiau and Gosan Noh and Heesang Chung and Ilgyu Kim and Marjorie Thary and Jean-Michel Houssin and Federico Pigni and Sylvain Colombero and Pierre Dal Zotto and Leszek Raschkowski and Stephan Jaeckel},

doi = {10.1109/WCNCW48565.2020.9124751},

year  = {2020},

date = {2020-04-01},

urldate = {2020-04-01},

booktitle = {2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)},

pages = {1-6},

abstract = {This paper provides an overview of recent research activities of the 5G AgiLe and fLexible integration of SaTellite And cellulaR (5G-ALLSTAR) project which aims to develop Multi-Connectivity technology that integrates the cellular and satellite networks to provide seamless, reliable and ubiquitous broadband services. 5G-ALLSTAR also entails developing millimeter-wave (mmWave) 5G New Radio (NR)-based cellular access system and investigating the feasibility of NR-based satellite access for providing broadband and reliable 5G services. In addition, spectrum sharing between cellular and satellite networks is studied. With all the technologies developed, 5G-ALLSTAR will showcase the first fully integrated satellite and cellular prototype system for 5G and beyond 5G (B5G) services at a big event (e.g., sporting event like Roland-Garros) in 2021. This paper also provides a preliminary techno-economic analysis on potential use cases targeting vertical markets, and introduces recent standardization activities of relevance.},

keywords = {5G-ALLSTAR, millimeter wave, multi-connectivity, New Radio, satellite, vehicular communications},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cassiau:hal-02864733,

title = {Satellite and terrestrial multi-connectivity for 5G: making spectrum sharing possible},

author = {Nicolas Cassiau and Gosan Noh and Stephan Jaeckel and Leszek Raschkowski and Jean-Michel Houssin and Laurent Combelles and Marjorie Thary and Junhyeong Kim and Jean-Baptiste Dor\'{e} and Marc Laugeois},

url = {https://hal.archives-ouvertes.fr/hal-02864733},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

booktitle = {IEEE Wireless Communications and Networking Conference (WCNC 2020)},

address = {Seoul, South Korea},

abstract = {This paper reports the first results of the 5G-ALLSTAR project [1] aiming at providing solutions and enablers for spectrum sharing in a 5G cellular and satellite multi-connectivity context. First, we present an exhaustive study of the frequency bands eligible for these systems in the short and medium term. A ray-tracing based and a geometry-based stochastic channel models developed in the project are then described. These models can be used to simulate systems involving terrestrial and non-terrestrial networks. We then describe three different ways investigated in the project for managing interference: signal processing (hardware implementation of a 5G New Radio compatible physical layer), beamforming (steering and switching beams in order to avoid the interference while preserving the spectral efficiency) and radio resource management (tool designed for joint optimization of satellite and terrestrial resource sharing).},

keywords = {5G, multi-connectivity, satellite, spectrum sharing},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}

@inproceedings{Lisi2019,

title = {Multi-Connectivity in 5G terrestrial-Satellite Networks: the 5G-ALLSTAR Solution},

author = {Federico Lisi and Giacinto Losquadro and Andrea Tortorelli and Antonio Ornatelli and Manuel Donsante},

url = {https://arxiv.org/abs/2004.00368

http://proceedings.kaconf.org/papers/2019/ka17_2.pdf},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

booktitle = {Ka and Broadband Communications, Navigation and Earth Observation Conference},

journal = {arXiv preprint arXiv:2004.00368},

abstract = {The 5G-ALLSTAR project is aimed at integrating Terrestrial and Satellite Networks for satisfying the highly challenging and demanding requirements of the 5G use cases. The integration of the two networks is a key feature to assure the service continuity in challenging communication situations (e.g., emergency cases, marine, railway, etc.) by avoiding service interruptions. The 5G-ALLSTAR project proposes to develop Multi-Connectivity (MC) solutions in order to guarantee network reliability and improve the throughput and latency for each connection between User Equipment (UE) and network. In the 5G-ALLSTAR vision, we divide the gNB in two entities: 1) gNB-CU (Centralized Unit) and 2) gNB-DU (Distributed Unit) The gNB-CU integrates an innovative Traffic Flow Control algorithm able to optimize the network resources by coordinating the controlled gNB-DUs resources, while implementing MC solutions. The MC permits to connect each UE with simultaneous multiple access points (even different radio access technologies). This solution leads to have independent gNB-DU/s that contain the RLC, MAC and PHY layers. The 5G-ALLSTAR MC algorithms offer advanced functionalities to RRC layer (in the gNB-CU) that is, in turn, able to set up the SDAP, the PDCP and the lower layers in gNB-DU. In this regard, the AI-based MC algorithms, implemented in gNB-CU, by considering the network performances in the UE surrounding environment as well as the UE QoS requirements, will dynamically select the most promising access points able to guarantee the fulfilment of the requirements also enabling the optimal traffic splitting to cope with the connection reliability. In this paper, we present also an innovative AI-based framework, included within the Traffic Flow Control, able to address the MC objectives, by implementing a Reinforcement Learning algorithm in charge of solving the network control problem.},

keywords = {5G, multi-connectivity, satellite},

pubstate = {published},

tppubtype = {inproceedings}

}