Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission

Qiqi Xiao; Jiantao Yuan; Rui Yin; Wei Qi; Celimuge Wu; Xianfu Chen

doi:10.1007/978-3-030-94763-7_11

Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission

Qiqi Xiao^*, Jiantao Yuan, Rui Yin, Wei Qi, Celimuge Wu, Xianfu Chen

^*Corresponding author for this work

BA6401 Connectivity solutions

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The ultra-reliable and low-latency communication (URLLC) has many potential applications in the Internet of Things (IoTs). This paper exploits both the licensed and unlicensed spectrums to support the URLLC transmissions, alleviating the lack of licensed spectrum resources, and adopts the duty-cycle muting (DCM) to ensure fair coexistence with the WiFi network. The user grouping scheme, mini-slot frame structure, and finite block length regime are used to guarantee low latency and high reliability. Meanwhile, to reduce the power consumption at the URLLC devices, we establish a minimum power optimization model and provide the globally optimal solutions. Simulation results are presented to verify the feasibility and effectiveness of the proposed scheme, which can not only reduce the power consumption at the devices, but also improve the system spectrum efficiency.

Original language	English
Title of host publication	Mobile Networks and Management - 11th EAI International Conference, MONAMI 2021, Proceedings
Editors	Carlos T. Calafate, Xianfu Chen, Yuan Wu
Publisher	Springer
Pages	138-151
Number of pages	14
ISBN (Electronic)	978-3-030-94763-7
ISBN (Print)	978-3-030-94762-0
DOIs	https://doi.org/10.1007/978-3-030-94763-7_11
Publication status	Published - 2022
MoE publication type	A4 Article in a conference publication
Event	11th EAI International Conference on Mobile Networks and Management, MONAMI 2021 - Virtual, Online Duration: 27 Oct 2021 → 29 Oct 2021

Publication series

Series	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume	418
ISSN	1867-8211

Conference

Conference	11th EAI International Conference on Mobile Networks and Management, MONAMI 2021
City	Virtual, Online
Period	27/10/21 → 29/10/21

Funding

This work was supported in part by the National Natural Science Foundation of China (Grant No. 61771429), in part by The Okawa Foundation for Information and Telecommunications, in part by G-7 Scholarship Foundation, in part by JSPS KAKENHI grant numbers 18KK0279, 19H04093, 20H00592, and 21H03424, in part by the Zhejiang Lab Open Program under Grant 2021LC0AB06, in part by the Academy of Finland under Grant 319759.

Keywords

DCM
Finite block length regime
Power allocation
Spectrum allocation
Unlicensed band
URLLC

Access to Document

10.1007/978-3-030-94763-7_11

Cite this

Xiao, Qiqi ; Yuan, Jiantao ; Yin, Rui et al. / Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission. Mobile Networks and Management - 11th EAI International Conference, MONAMI 2021, Proceedings. editor / Carlos T. Calafate ; Xianfu Chen ; Yuan Wu. Springer, 2022. pp. 138-151 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 418).

@inproceedings{47fc0cc5bc444b8fa64fbae0607ba9cd,

title = "Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission",

abstract = "The ultra-reliable and low-latency communication (URLLC) has many potential applications in the Internet of Things (IoTs). This paper exploits both the licensed and unlicensed spectrums to support the URLLC transmissions, alleviating the lack of licensed spectrum resources, and adopts the duty-cycle muting (DCM) to ensure fair coexistence with the WiFi network. The user grouping scheme, mini-slot frame structure, and finite block length regime are used to guarantee low latency and high reliability. Meanwhile, to reduce the power consumption at the URLLC devices, we establish a minimum power optimization model and provide the globally optimal solutions. Simulation results are presented to verify the feasibility and effectiveness of the proposed scheme, which can not only reduce the power consumption at the devices, but also improve the system spectrum efficiency.",

keywords = "DCM, Finite block length regime, Power allocation, Spectrum allocation, Unlicensed band, URLLC",

author = "Qiqi Xiao and Jiantao Yuan and Rui Yin and Wei Qi and Celimuge Wu and Xianfu Chen",

note = "Funding Information: This work was supported in part by the National Natural Science Foundation of China (Grant No. 61771429), in part by The Okawa Foundation for Information and Telecommunications, in part by G-7 Scholarship Foundation, in part by JSPS KAKENHI grant numbers 18KK0279, 19H04093, 20H00592, and 21H03424, in part by the Zhejiang Lab Open Program under Grant 2021LC0AB06, in part by the Academy of Finland under Grant 319759. ; 11th EAI International Conference on Mobile Networks and Management, MONAMI 2021 ; Conference date: 27-10-2021 Through 29-10-2021",

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series = "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",

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Xiao, Q, Yuan, J, Yin, R, Qi, W, Wu, C & Chen, X 2022, Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission. in CT Calafate, X Chen & Y Wu (eds), Mobile Networks and Management - 11th EAI International Conference, MONAMI 2021, Proceedings. Springer, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 418, pp. 138-151, 11th EAI International Conference on Mobile Networks and Management, MONAMI 2021, Virtual, Online, 27/10/21. https://doi.org/10.1007/978-3-030-94763-7_11

Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission. / Xiao, Qiqi; Yuan, Jiantao; Yin, Rui et al.
Mobile Networks and Management - 11th EAI International Conference, MONAMI 2021, Proceedings. ed. / Carlos T. Calafate; Xianfu Chen; Yuan Wu. Springer, 2022. p. 138-151 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 418).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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N1 - Funding Information: This work was supported in part by the National Natural Science Foundation of China (Grant No. 61771429), in part by The Okawa Foundation for Information and Telecommunications, in part by G-7 Scholarship Foundation, in part by JSPS KAKENHI grant numbers 18KK0279, 19H04093, 20H00592, and 21H03424, in part by the Zhejiang Lab Open Program under Grant 2021LC0AB06, in part by the Academy of Finland under Grant 319759.

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N2 - The ultra-reliable and low-latency communication (URLLC) has many potential applications in the Internet of Things (IoTs). This paper exploits both the licensed and unlicensed spectrums to support the URLLC transmissions, alleviating the lack of licensed spectrum resources, and adopts the duty-cycle muting (DCM) to ensure fair coexistence with the WiFi network. The user grouping scheme, mini-slot frame structure, and finite block length regime are used to guarantee low latency and high reliability. Meanwhile, to reduce the power consumption at the URLLC devices, we establish a minimum power optimization model and provide the globally optimal solutions. Simulation results are presented to verify the feasibility and effectiveness of the proposed scheme, which can not only reduce the power consumption at the devices, but also improve the system spectrum efficiency.

AB - The ultra-reliable and low-latency communication (URLLC) has many potential applications in the Internet of Things (IoTs). This paper exploits both the licensed and unlicensed spectrums to support the URLLC transmissions, alleviating the lack of licensed spectrum resources, and adopts the duty-cycle muting (DCM) to ensure fair coexistence with the WiFi network. The user grouping scheme, mini-slot frame structure, and finite block length regime are used to guarantee low latency and high reliability. Meanwhile, to reduce the power consumption at the URLLC devices, we establish a minimum power optimization model and provide the globally optimal solutions. Simulation results are presented to verify the feasibility and effectiveness of the proposed scheme, which can not only reduce the power consumption at the devices, but also improve the system spectrum efficiency.

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Xiao Q, Yuan J, Yin R, Qi W, Wu C, Chen X. Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission. In Calafate CT, Chen X, Wu Y, editors, Mobile Networks and Management - 11th EAI International Conference, MONAMI 2021, Proceedings. Springer. 2022. p. 138-151. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 418). doi: 10.1007/978-3-030-94763-7_11