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
N1 - Publisher Copyright:
© 1983-2012 IEEE.
PY - 2023/10/1
Y1 - 2023/10/1
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 - Digital twin
KW - communication assistance
KW - mobile crowdsourcing
KW - movement optimization
KW - video streaming
UR - http://www.scopus.com/inward/record.url?scp=85169669801&partnerID=8YFLogxK
U2 - 10.1109/JSAC.2023.3310077
DO - 10.1109/JSAC.2023.3310077
M3 - 文章
AN - SCOPUS:85169669801
SN - 0733-8716
VL - 41
SP - 3161
EP - 3174
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 10
ER -