2020
3.
Strinati, Emilio Calvanese; Barbarossa, Sergio; Choi, Taesang; Pietrabissa, Antonio; Giuseppi, Alessandro; Santis, Emanuele De; Vidal, Josep; Becvar, Zdenek; Haustein, Thomas; Cassiau, Nicolas; Costanzo, Francesca; Kim, Junhyeong; Kim, Ilgyu
6G in the Sky: On-Demand Intelligence at the Edge of 3D Networks Journal Article
In: ETRI Journal, vol. 42, no. 5, pp. 643–657, 2020.
Abstract | Links | BibTeX | Tags: 3D connectivity, 3D networks, 3D services, 5G, 6G, B5G, high-altitude platform stations, mobile edge computing, non-terrestrial communications, satellite, unmanned aerial vehicle
@article{Strinati2020,
title = {6G in the Sky: On-Demand Intelligence at the Edge of 3D Networks},
author = {Emilio Calvanese Strinati and Sergio Barbarossa and Taesang Choi and Antonio Pietrabissa and Alessandro Giuseppi and Emanuele {De Santis} and Josep Vidal and Zdenek Becvar and Thomas Haustein and Nicolas Cassiau and Francesca Costanzo and Junhyeong Kim and Ilgyu Kim},
doi = {10.4218/etrij.2020-0205},
year = {2020},
date = {2020-10-20},
urldate = {2020-10-20},
journal = {ETRI Journal},
volume = {42},
number = {5},
pages = {643--657},
abstract = {Sixth generation will exploit satellite, aerial, and terrestrial platforms jointly to improve radio access capability and unlock the support of on-demand edge cloud services in three-dimensional (3D) space, by incorporating mobile edge computing (MEC) functionalities on aerial platforms and low-orbit satellites. This will extend the MEC support to devices and network elements in the sky and forge a space-borne MEC, enabling intelligent, personalized, and distributed on-demand services. End users will experience the impression of being surrounded by a distributed computer, fulfilling their requests with apparently zero latency. In this paper, we consider an architecture that provides communication, computation, and caching (C3) services on demand, anytime, and everywhere in 3D space, integrating conventional ground (terrestrial) base stations and flying (non-terrestrial) nodes. Given the complexity of the overall network, the C3 resources and management of aerial devices need to be jointly orchestrated via artificial intelligence-based algorithms, exploiting virtualized network functions dynamically deployed in a distributed manner across terrestrial and non-terrestrial nodes.},
keywords = {3D connectivity, 3D networks, 3D services, 5G, 6G, B5G, high-altitude platform stations, mobile edge computing, non-terrestrial communications, satellite, unmanned aerial vehicle},
pubstate = {published},
tppubtype = {article}
}
Sixth generation will exploit satellite, aerial, and terrestrial platforms jointly to improve radio access capability and unlock the support of on-demand edge cloud services in three-dimensional (3D) space, by incorporating mobile edge computing (MEC) functionalities on aerial platforms and low-orbit satellites. This will extend the MEC support to devices and network elements in the sky and forge a space-borne MEC, enabling intelligent, personalized, and distributed on-demand services. End users will experience the impression of being surrounded by a distributed computer, fulfilling their requests with apparently zero latency. In this paper, we consider an architecture that provides communication, computation, and caching (C3) services on demand, anytime, and everywhere in 3D space, integrating conventional ground (terrestrial) base stations and flying (non-terrestrial) nodes. Given the complexity of the overall network, the C3 resources and management of aerial devices need to be jointly orchestrated via artificial intelligence-based algorithms, exploiting virtualized network functions dynamically deployed in a distributed manner across terrestrial and non-terrestrial nodes.
2019
2.
Strinati, Emilio Calvanese; Barbarossa, Sergio; Gonzalez-Jimenez, Jose Luis; Ktenas, Dimitri; Cassiau, Nicolas; Maret, Luc; Dehos, Cedric
6G: The Next Frontier: From Holographic Messaging to Artificial Intelligence Using Subterahertz and Visible Light Communication Journal Article
In: IEEE Vehicular Technology Magazine, vol. 14, no. 3, pp. 42-50, 2019, ISSN: 1556-6080.
Abstract | Links | BibTeX | Tags: 6G, artificial intelligence, visible light communication
@article{8792135,
title = {6G: The Next Frontier: From Holographic Messaging to Artificial Intelligence Using Subterahertz and Visible Light Communication},
author = {Emilio Calvanese Strinati and Sergio Barbarossa and Jose Luis Gonzalez-Jimenez and Dimitri Ktenas and Nicolas Cassiau and Luc Maret and Cedric Dehos},
doi = {10.1109/MVT.2019.2921162},
issn = {1556-6080},
year = {2019},
date = {2019-09-01},
urldate = {2019-09-01},
journal = {IEEE Vehicular Technology Magazine},
volume = {14},
number = {3},
pages = {42-50},
abstract = {With its ability to provide a single platform enabling a variety of services, such as enhanced mobile broadband communications, virtual reality, automated driving, and the Internet of Things, 5G represents a breakthrough in the design of communication networks. Nevertheless, considering the increasing requests for new services and predicting the development of new technologies within a decade, it is already possible to envision the need to move beyond 5G and design a new architecture incorporating innovative technologies to satisfy new needs at both the individual and societal levels.},
keywords = {6G, artificial intelligence, visible light communication},
pubstate = {published},
tppubtype = {article}
}
With its ability to provide a single platform enabling a variety of services, such as enhanced mobile broadband communications, virtual reality, automated driving, and the Internet of Things, 5G represents a breakthrough in the design of communication networks. Nevertheless, considering the increasing requests for new services and predicting the development of new technologies within a decade, it is already possible to envision the need to move beyond 5G and design a new architecture incorporating innovative technologies to satisfy new needs at both the individual and societal levels.
1.
Miscopein, Benoit; Doré, Jean-Baptiste; Strinati, Emilio Calvanese; Kténas, Dimitri; Barbarossa, Sergio
Air Interface Challenges and Solutions for future 6G Networks Proceedings Article
In: 1st 6G Wireless Summit, 2019.
Abstract | Links | BibTeX | Tags: 6G, air interface, artificial intelligence, beyond 5G, mobile edge cloud
@inproceedings{miscopein:cea-01986524,
title = {Air Interface Challenges and Solutions for future 6G Networks},
author = {Benoit Miscopein and Jean-Baptiste Dor\'{e} and Emilio Calvanese Strinati and Dimitri Kt\'{e}nas and Sergio Barbarossa},
url = {https://hal-cea.archives-ouvertes.fr/cea-01986524},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {1st 6G Wireless Summit},
abstract = {5G networks are expected to be deployed in 2020 and are considered as a global game changer from a technological, economic, societal and environmental perspective with very aggressive performance levels in terms of latency, energy efficiency, wireless broadband capacity, elasticity, etc. Many experts say that the next big step for cellular networks is not 5G but its cloudification that will support the explosion of radically new services and applications ranging from immersive five-sense media to ambient sensing intelligence and a pervasive introduction of artificial intelligence. In our vision, the next generation of wireless systems will transform the 5G service-oriented networks into user and machine ad-hoc dynamic (re)configuration of network slices. This will be enabled by software-defined end-to-end solutions from the core to the radio access network, including the air interface as well as the RF and antenna systems which are envisioned as one of the keys to meet the user/service requirements. Users and machines will be indeed able to dynamically (re)configure network slices thanks to intelligent personal edges. This paper presents our perspective of the 6G air interface and raise the concept of software defined artificial intelligence and air interface (SD-AI 2) as a framework of 6G air interface. This concept is an extension of the one initially proposed for 5G [1]. Instead of a global optimized air interface, we envisage to bring agility and flexibility to air interface with the help of artificial intelligence and learning techniques to improve efficiency. The paper describes the proposed context and highlights the technical challenges at different levels.},
keywords = {6G, air interface, artificial intelligence, beyond 5G, mobile edge cloud},
pubstate = {published},
tppubtype = {inproceedings}
}
5G networks are expected to be deployed in 2020 and are considered as a global game changer from a technological, economic, societal and environmental perspective with very aggressive performance levels in terms of latency, energy efficiency, wireless broadband capacity, elasticity, etc. Many experts say that the next big step for cellular networks is not 5G but its cloudification that will support the explosion of radically new services and applications ranging from immersive five-sense media to ambient sensing intelligence and a pervasive introduction of artificial intelligence. In our vision, the next generation of wireless systems will transform the 5G service-oriented networks into user and machine ad-hoc dynamic (re)configuration of network slices. This will be enabled by software-defined end-to-end solutions from the core to the radio access network, including the air interface as well as the RF and antenna systems which are envisioned as one of the keys to meet the user/service requirements. Users and machines will be indeed able to dynamically (re)configure network slices thanks to intelligent personal edges. This paper presents our perspective of the 6G air interface and raise the concept of software defined artificial intelligence and air interface (SD-AI 2) as a framework of 6G air interface. This concept is an extension of the one initially proposed for 5G [1]. Instead of a global optimized air interface, we envisage to bring agility and flexibility to air interface with the help of artificial intelligence and learning techniques to improve efficiency. The paper describes the proposed context and highlights the technical challenges at different levels.