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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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).

Original language	English
Title of host publication	IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	243-248
Number of pages	6
ISBN (Electronic)	9781728186955
DOIs	https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162928
Publication status	Published - 1 Jul 2020
Externally published	Yes
Event	2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 - Toronto, Canada Duration: 6 Jul 2020 → 9 Jul 2020

Publication series

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

Conference

Conference	2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Country/Territory	Canada
City	Toronto
Period	6/07/20 → 9/07/20

Keywords

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

Access to Document

10.1109/INFOCOMWKSHPS50562.2020.9162928

Cite this

Foroughi, P., Beyranvand, H., Gagnaire, M., & Zahr, S. A. (2020). User association in hybrid UAV-cellular networks for massive real-time IoT applications. In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 (pp. 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. pp. 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",

year = "2020",

month = jul,

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doi = "10.1109/INFOCOMWKSHPS50562.2020.9162928",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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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. in 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., pp. 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2020/7/1

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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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Foroughi P, Beyranvand H, Gagnaire M, Zahr SA. User association in hybrid UAV-cellular networks for massive real-time IoT applications. In 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

Abstract

Publication series

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Keywords

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Cite this