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.
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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References
3GPP: Study on scenarios and requirements for next generation access technologies. 3GPP TR 38.913, V16. 0.0 (2020)
3GPP: Study on new radio access technology; physical layer aspects. 3GPP TR 38.802, V14. 2.0 (2017)
Americas, G.: New services and applications with 5g ultra-reliable low latency communications. Technical Report, 5G Americas (2018)
Sutton, G., et al.: Enabling ultra-reliable and low-latency communications through unlicensed spectrum. IEEE Network 32(2), 70–77 (2018)
Zeng, Y., Wang, Y., Sun, S., Yang, K.: Feasibility of URLLC in unlicensed spectrum. In: 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), pp. 1–5. IEEE (2019)
Le, T.K., Salim, U., Kaltenberger, F.: Channel access enhancements in unlicensed spectrum for NR URLLC transmissions. In: GLOBECOM 2020-2020 IEEE Global Communications Conference, pp. 1–6. IEEE (2020)
Cuevas, R.M., Rosa, C., Frederiksen, F., Pedersen, K.I.: Uplink ultra-reliable low latency communications assessment in unlicensed spectrum. In: 2018 IEEE Globecom Workshops (GC Wkshps), pp. 1–6. IEEE (2018)
Pocovi, G., Pedersen, K.I., Mogensen, P.: Joint link adaptation and scheduling for 5G ultra-reliable low-latency communications. IEEE Access 6, 28912–28922 (2018)
Pocovi, G., Pedersen, K.I., Soret, B., Lauridsen, M., Mogensen, P.: On the impact of multi-user traffic dynamics on low latency communications. In: 2016 International Symposium on Wireless Communication Systems (ISWCS), pp. 204–208. IEEE (2016)
Shafi, M., et al.: 5G: a tutorial overview of standards, trials, challenges, deployment, and practice. IEEE J. Sel. Areas Commun. 35(6), 1201–1221 (2017)
Yuan, J., Yu, G., Yin, R., Qu, F., Zeng, R.: Group-based data transmission protocol for small-sized URLLC services. IEEE Wirel. Commun. Lett. 9(9), 1432–1436 (2020)
Yin, R., Zou, Z., Wu, C., Yuan, J., Chen, X., Yu, G.: Learning-based WiFi traffic load estimation in NR-U systems. IEICE T. Fund. Electr. 104(2), 542–549 (2021)
Yin, R., Zou, Z., Wu, C., Yuan, J., Chen, X.: Distributed spectrum and power allocation for D2D-U networks: a scheme based on NN and federated learning. Mobile Netw. Appl. 1–14 (2021)
Polyanskiy, Y., Poor, H.V., Verdú, S.: Channel coding rate in the finite blocklength regime. IEEE Trans. Inf. Theor. 56(5), 2307–2359 (2010)
She, C., Yang, C., Quek, T.Q.: Radio resource management for ultra-reliable and low-latency communications. IEEE Commun. Mag. 55(6), 72–78 (2017)
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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: Calafate, C.T., Chen, X., Wu, Y. (eds) Mobile Networks and Management. MONAMI 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-94763-7_11
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DOI: https://doi.org/10.1007/978-3-030-94763-7_11
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