User association in hybrid UAV-cellular networks for massive real-time IoT applications

Parisa Foroughi; Hamzeh Beyranvand; Maurice Gagnaire; Sawsan Al Zahr

doi:10.1109/INFOCOMWKSHPS50562.2020.9162928

User association in hybrid UAV-cellular networks for massive real-time IoT applications

Parisa Foroughi
, Hamzeh Beyranvand
, Maurice Gagnaire
, Sawsan Al Zahr

CNRS LTCI
Department of Electrical Engineering
Amirkabir University of Technology

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

7 Citations (Scopus)

Résumé

5G mobile networks will have to deal simultaneously with three types of traffic: mobile broadband communications, critical communications and Internet of Things (IoT). In this paper, we propose a novel hybrid 5G Fiber-Wireless (FiWi) access architecture equipped with Mobile Edge Computing-enabled (MEC) macro base stations and investigate its performance. Given the proposed architecture, we aim to solve the user association problem under differentiated Quality of Service (QoS). Indeed, we aim at maximizing the number of the users that are served by the network within their latency constraints, having IoT and haptic applications' requirements in mind. Our approach to solve the user association problem is based on Genetic Algorithms (GA).

langue originale	Anglais
titre	IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	243-248
Nombre de pages	6
ISBN (Electronique)	9781728186955
Les DOIs	https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162928
état	Publié - 1 juil. 2020
Modification externe	Oui
Evénement	2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 - Toronto, Canada Durée: 6 juil. 2020 → 9 juil. 2020

Série de publications

Nom	IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020

Une conférence

Une conférence	2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Pays/Territoire	Canada
La ville	Toronto
période	6/07/20 → 9/07/20

Accès au document

10.1109/INFOCOMWKSHPS50562.2020.9162928

Contient cette citation

Foroughi, P., Beyranvand, H., Gagnaire, M., & Zahr, S. A. (2020). User association in hybrid UAV-cellular networks for massive real-time IoT applications. Dans IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 (p. 243-248). Article 9162928 (IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162928

Foroughi, Parisa ; Beyranvand, Hamzeh ; Gagnaire, Maurice et al. / User association in hybrid UAV-cellular networks for massive real-time IoT applications. IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 243-248 (IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020).

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title = "User association in hybrid UAV-cellular networks for massive real-time IoT applications",

abstract = "5G mobile networks will have to deal simultaneously with three types of traffic: mobile broadband communications, critical communications and Internet of Things (IoT). In this paper, we propose a novel hybrid 5G Fiber-Wireless (FiWi) access architecture equipped with Mobile Edge Computing-enabled (MEC) macro base stations and investigate its performance. Given the proposed architecture, we aim to solve the user association problem under differentiated Quality of Service (QoS). Indeed, we aim at maximizing the number of the users that are served by the network within their latency constraints, having IoT and haptic applications' requirements in mind. Our approach to solve the user association problem is based on Genetic Algorithms (GA).",

keywords = "5G, Fiber-wireless networks, Genetic algorithms, Internet of Things, Mobile edge computing, Real-time applications",

author = "Parisa Foroughi and Hamzeh Beyranvand and Maurice Gagnaire and Zahr, \{Sawsan Al\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 ; Conference date: 06-07-2020 Through 09-07-2020",

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doi = "10.1109/INFOCOMWKSHPS50562.2020.9162928",

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series = "IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020",

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Foroughi, P, Beyranvand, H, Gagnaire, M & Zahr, SA 2020, User association in hybrid UAV-cellular networks for massive real-time IoT applications. Dans IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020., 9162928, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020, Institute of Electrical and Electronics Engineers Inc., p. 243-248, 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020, Toronto, Canada, 6/07/20. https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162928

User association in hybrid UAV-cellular networks for massive real-time IoT applications. / Foroughi, Parisa; Beyranvand, Hamzeh; Gagnaire, Maurice et al.
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 243-248 9162928 (IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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T1 - User association in hybrid UAV-cellular networks for massive real-time IoT applications

AU - Foroughi, Parisa

AU - Beyranvand, Hamzeh

AU - Gagnaire, Maurice

AU - Zahr, Sawsan Al

PY - 2020/7/1

Y1 - 2020/7/1

N2 - 5G mobile networks will have to deal simultaneously with three types of traffic: mobile broadband communications, critical communications and Internet of Things (IoT). In this paper, we propose a novel hybrid 5G Fiber-Wireless (FiWi) access architecture equipped with Mobile Edge Computing-enabled (MEC) macro base stations and investigate its performance. Given the proposed architecture, we aim to solve the user association problem under differentiated Quality of Service (QoS). Indeed, we aim at maximizing the number of the users that are served by the network within their latency constraints, having IoT and haptic applications' requirements in mind. Our approach to solve the user association problem is based on Genetic Algorithms (GA).

AB - 5G mobile networks will have to deal simultaneously with three types of traffic: mobile broadband communications, critical communications and Internet of Things (IoT). In this paper, we propose a novel hybrid 5G Fiber-Wireless (FiWi) access architecture equipped with Mobile Edge Computing-enabled (MEC) macro base stations and investigate its performance. Given the proposed architecture, we aim to solve the user association problem under differentiated Quality of Service (QoS). Indeed, we aim at maximizing the number of the users that are served by the network within their latency constraints, having IoT and haptic applications' requirements in mind. Our approach to solve the user association problem is based on Genetic Algorithms (GA).

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KW - Fiber-wireless networks

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KW - Internet of Things

KW - Mobile edge computing

KW - Real-time applications

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DO - 10.1109/INFOCOMWKSHPS50562.2020.9162928

M3 - Conference contribution

AN - SCOPUS:85091509589

T3 - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020

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BT - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020

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Foroughi P, Beyranvand H, Gagnaire M, Zahr SA. User association in hybrid UAV-cellular networks for massive real-time IoT applications. Dans IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 243-248. 9162928. (IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020). doi: 10.1109/INFOCOMWKSHPS50562.2020.9162928

User association in hybrid UAV-cellular networks for massive real-time IoT applications

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Contient cette citation