TY - JOUR
T1 - Unlicensed Assisted Ultra-Reliable and Low-Latency Communications
AU - Yuan, Jiantao
AU - Xiao, Qiqi
AU - Yin, Rui
AU - Qi, Wei
AU - Wu, Celimuge
AU - Chen, Xianfu
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 the Zhejiang Lab Open Program under Grant 2021LC0AB06, in part by the Academy of Finland under Grant 319759, Zhejiang University City College Scientific Research Foundation (No. JZD18002), in part by ROIS NII Open Collaborative Research 21S0601, and in part by JSPS KAKENHI (Grant No. 18KK0279, 19H04093, 20H00592, and 21H03424).
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022
Y1 - 2022
N2 - The ultra-reliable and low-latency communication (URLLC) in the fifth generation (5G) communication has emerged many potential applications, which promotes the development of the internet of things (IoTs). In this paper, the URLLC system adopts the duty-cycle muting (DCM) mechanism to share unlicensed spectrums with the WiFi network, which guarantees the fair coexistence. Meanwhile, we use the mini-slot, user grouping, and finite block length regime to satisfy the low latency and high reliability requirements. We establish a non-convex optimization model with respect to power and spectrum, and solve it to minimize the power consumption at the devices, where the closed-form expressions are given by several mathematical derivations and the Lagrangian multiplier method. Numerical simulation results are provided to verify the feasibility and effectiveness of the proposed scheme, which improves the system spectrum efficiency and energy efficiency.
AB - The ultra-reliable and low-latency communication (URLLC) in the fifth generation (5G) communication has emerged many potential applications, which promotes the development of the internet of things (IoTs). In this paper, the URLLC system adopts the duty-cycle muting (DCM) mechanism to share unlicensed spectrums with the WiFi network, which guarantees the fair coexistence. Meanwhile, we use the mini-slot, user grouping, and finite block length regime to satisfy the low latency and high reliability requirements. We establish a non-convex optimization model with respect to power and spectrum, and solve it to minimize the power consumption at the devices, where the closed-form expressions are given by several mathematical derivations and the Lagrangian multiplier method. Numerical simulation results are provided to verify the feasibility and effectiveness of the proposed scheme, which improves the system spectrum efficiency and energy efficiency.
KW - finite block length regime
KW - power allocation
KW - spectrum allocation
KW - unlicensed band
KW - URLLC
UR - http://www.scopus.com/inward/record.url?scp=85133608027&partnerID=8YFLogxK
U2 - 10.1007/s11036-022-02003-8
DO - 10.1007/s11036-022-02003-8
M3 - Article
AN - SCOPUS:85133608027
JO - Mobile Networks and Applications
JF - Mobile Networks and Applications
SN - 1383-469X
ER -
