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Digital-Twin-Enabled 6G Mobile Network Video Streaming Using Mobile Crowdsourcing

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Digital-Twin-Enabled 6G Mobile Network Video Streaming Using Mobile Crowdsourcing. / Qi, Lianyong; Xu, Xiaolong; Wu, Xiaotong et al.
In: IEEE Journal on Selected Areas in Communications, Vol. 41, No. 10, 31.10.2023.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Qi, L, Xu, X, Wu, X, Ni, Q, Yuan, Y & Zhang, X 2023, 'Digital-Twin-Enabled 6G Mobile Network Video Streaming Using Mobile Crowdsourcing', IEEE Journal on Selected Areas in Communications, vol. 41, no. 10. https://doi.org/10.1109/jsac.2023.3310077

APA

Qi, L., Xu, X., Wu, X., Ni, Q., Yuan, Y., & Zhang, X. (2023). Digital-Twin-Enabled 6G Mobile Network Video Streaming Using Mobile Crowdsourcing. IEEE Journal on Selected Areas in Communications, 41(10). https://doi.org/10.1109/jsac.2023.3310077

Vancouver

Qi L, Xu X, Wu X, Ni Q, Yuan Y, Zhang X. Digital-Twin-Enabled 6G Mobile Network Video Streaming Using Mobile Crowdsourcing. IEEE Journal on Selected Areas in Communications. 2023 Oct 31;41(10). Epub 2023 Aug 30. doi: 10.1109/jsac.2023.3310077

Author

Qi, Lianyong ; Xu, Xiaolong ; Wu, Xiaotong et al. / Digital-Twin-Enabled 6G Mobile Network Video Streaming Using Mobile Crowdsourcing. In: IEEE Journal on Selected Areas in Communications. 2023 ; Vol. 41, No. 10.

Bibtex

@article{f2c564d23f6a4a71967676f31b2ceb84,
title = "Digital-Twin-Enabled 6G Mobile Network Video Streaming Using Mobile Crowdsourcing",
abstract = "Digital-twin-enabled cloud-centric architecture is a promising evolution trend of sixth generation (6G) network, which brings new opportunities and challenges for mobile video streaming-related services requiring the exponentially increasing traffic demands. Device-to-Device (D2D) communication paradigm is an attractive technique to alleviate the problem. However, the previous research work on D2D built on individuals{\textquoteright} random mobility or position snapshot and cannot guarantee the stable communication flow. In this paper, we leverage the cybertwin as a centric controller and take advantages of crowdsourcing technology to attract mobile users to follow the specified path and share their network resources with other users. The design of the specified path is formulated as a problem of user recruitment optimization with cost constraint, which is a NP-Hard problem. Firstly, we investigate a special case of only one mobile user to offer the network resource and present a pseudo-polynomial time algorithm. Secondly, we present a graph-partition-based approach to solve the more complex case of multiple mobile users. Thirdly, we discuss the least expected budget to achieve the maximum utility in an ideal model. Fourthly, we perform extensive experiments to evaluate and compare the performance with the typical ones in simulated digital-twin-enabled 6G networks.",
keywords = "Electrical and Electronic Engineering, Computer Networks and Communications",
author = "Lianyong Qi and Xiaolong Xu and Xiaotong Wu and Qiang Ni and Yuan Yuan and Xuyun Zhang",
year = "2023",
month = oct,
day = "31",
doi = "10.1109/jsac.2023.3310077",
language = "English",
volume = "41",
journal = "IEEE Journal on Selected Areas in Communications",
issn = "0733-8716",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "10",

}

RIS

TY - JOUR

T1 - Digital-Twin-Enabled 6G Mobile Network Video Streaming Using Mobile Crowdsourcing

AU - Qi, Lianyong

AU - Xu, Xiaolong

AU - Wu, Xiaotong

AU - Ni, Qiang

AU - Yuan, Yuan

AU - Zhang, Xuyun

PY - 2023/10/31

Y1 - 2023/10/31

N2 - Digital-twin-enabled cloud-centric architecture is a promising evolution trend of sixth generation (6G) network, which brings new opportunities and challenges for mobile video streaming-related services requiring the exponentially increasing traffic demands. Device-to-Device (D2D) communication paradigm is an attractive technique to alleviate the problem. However, the previous research work on D2D built on individuals’ random mobility or position snapshot and cannot guarantee the stable communication flow. In this paper, we leverage the cybertwin as a centric controller and take advantages of crowdsourcing technology to attract mobile users to follow the specified path and share their network resources with other users. The design of the specified path is formulated as a problem of user recruitment optimization with cost constraint, which is a NP-Hard problem. Firstly, we investigate a special case of only one mobile user to offer the network resource and present a pseudo-polynomial time algorithm. Secondly, we present a graph-partition-based approach to solve the more complex case of multiple mobile users. Thirdly, we discuss the least expected budget to achieve the maximum utility in an ideal model. Fourthly, we perform extensive experiments to evaluate and compare the performance with the typical ones in simulated digital-twin-enabled 6G networks.

AB - Digital-twin-enabled cloud-centric architecture is a promising evolution trend of sixth generation (6G) network, which brings new opportunities and challenges for mobile video streaming-related services requiring the exponentially increasing traffic demands. Device-to-Device (D2D) communication paradigm is an attractive technique to alleviate the problem. However, the previous research work on D2D built on individuals’ random mobility or position snapshot and cannot guarantee the stable communication flow. In this paper, we leverage the cybertwin as a centric controller and take advantages of crowdsourcing technology to attract mobile users to follow the specified path and share their network resources with other users. The design of the specified path is formulated as a problem of user recruitment optimization with cost constraint, which is a NP-Hard problem. Firstly, we investigate a special case of only one mobile user to offer the network resource and present a pseudo-polynomial time algorithm. Secondly, we present a graph-partition-based approach to solve the more complex case of multiple mobile users. Thirdly, we discuss the least expected budget to achieve the maximum utility in an ideal model. Fourthly, we perform extensive experiments to evaluate and compare the performance with the typical ones in simulated digital-twin-enabled 6G networks.

KW - Electrical and Electronic Engineering

KW - Computer Networks and Communications

U2 - 10.1109/jsac.2023.3310077

DO - 10.1109/jsac.2023.3310077

M3 - Journal article

VL - 41

JO - IEEE Journal on Selected Areas in Communications

JF - IEEE Journal on Selected Areas in Communications

SN - 0733-8716

IS - 10

ER -