Journal Home > Volume 3 , Issue 2

The fifth generation (5G) of wireless networks features three core use cases, namely ultra-reliable and low latency communications (URLLC), massive machine type communications (mMTC), and enhanced mobile broadband (eMBB). These use cases co-exist in many practical scenarios and compete for the same set of time and frequency resources, resulting in a natural trade-off in their performance. In this paper, a network supporting both URLLC and eMBB modes of operation is studied. To guarantee the ultra low latency requirement of URLLC, a dynamic resource allocation scheme indicated by a two-dimensional bitmap is proposed. This approach is capable to achieve finer granularity as well as lower false cancellation rate compared to the state-of-the-art methods. A novel power control and indication method is also proposed to dynamically provide different power control parameters to the user equipment (UE), while guaranteeing the reliability requirement of URLLC and minimizing the impact to eMBB. In addition, we devise a dynamic selection mechanism (DSM) to accommodate diverse scenarios, which is empowered with load prediction to become more intelligent. Our extensive system-level simulation results for eMBB-URLLC co-existence scenarios showcase that the perceived throughput of eMBB UEs is increased by 45.3%, while about 13.3% more UEs are enjoying URLLC services with at most 84% transmit power savings compared to the state-of-the-art methods.


menu
Abstract
Full text
Outline
About this article

Dynamic resource allocation schemes for eMBB and URLLC services in 5G wireless networks

Show Author's information Xianghui Han1,2,3( )Kai Xiao2,3Ruiqi Liu2,3Xing Liu2,3George C. Alexandropoulos4Shi Jin1
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
State Key Laboratory of Mobile Network and Mobile Multimedia Technology, Shenzhen 518055, China
Wireless Research Institute, ZTE Corporation, Beijing 100029, China
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens 15784, Greece
Southeast University, Nanjing 210096, China

Abstract

The fifth generation (5G) of wireless networks features three core use cases, namely ultra-reliable and low latency communications (URLLC), massive machine type communications (mMTC), and enhanced mobile broadband (eMBB). These use cases co-exist in many practical scenarios and compete for the same set of time and frequency resources, resulting in a natural trade-off in their performance. In this paper, a network supporting both URLLC and eMBB modes of operation is studied. To guarantee the ultra low latency requirement of URLLC, a dynamic resource allocation scheme indicated by a two-dimensional bitmap is proposed. This approach is capable to achieve finer granularity as well as lower false cancellation rate compared to the state-of-the-art methods. A novel power control and indication method is also proposed to dynamically provide different power control parameters to the user equipment (UE), while guaranteeing the reliability requirement of URLLC and minimizing the impact to eMBB. In addition, we devise a dynamic selection mechanism (DSM) to accommodate diverse scenarios, which is empowered with load prediction to become more intelligent. Our extensive system-level simulation results for eMBB-URLLC co-existence scenarios showcase that the perceived throughput of eMBB UEs is increased by 45.3%, while about 13.3% more UEs are enjoying URLLC services with at most 84% transmit power savings compared to the state-of-the-art methods.

Keywords: power control, resource allocation, the fifth generation (5G), co-existence, enhanced mobile broadband (eMBB), multiplexing, ultra-reliable and low latency communications (URLLC), uplink

References(18)

1
ITU-R, IMT vision: Framework and overall objectives of the future development of IMT for 2020 and beyond, Tech. Rep. Rec. ITU-R M.2083-0, ITU, Geneva, Switzerland, 2015.
2

R. Qi, X. Chi, L. Zhao, and W. Yang, Martingales-based ALOHA-type grant-free access algorithms for multi-channel networks with mMTC/URLLC terminals co-existence, IEEE Access, vol. 8, pp. 37608–37620, 2020.

3
Requirements related to technical performance for IMT-advanced radio interface(s), Tech. Rep. ITU-R M.2134, ITU, Geneva, Switzerland, 2008.
4
S. Ahmadi, New radio access physical layer aspects (part 1), in 5G NR, S. Ahmadi, ed. Pittsburgh, PA, USA: Academic Press, 2019, pp. 285–409.
DOI
5

P. Popovski, J. J. Nielsen, C. Stefanovic, E. De Carvalho, E. Strom, K. F. Trillingsgaard, A. S. Bana, D. M. Kim, R. Kotaba, J. Park, et al., Wireless access for ultra-reliable low-latency communication: Principles and building blocks, IEEE Network, vol. 32, no. 2, pp. 16–23, 2018.

6

A. Anand, G. De Veciana, and S. Shakkottai, Joint scheduling of URLLC and eMBB traffic in 5G wireless networks, IEEE/ACM Transactions on Networking, vol. 28, no. 2, pp. 477–490, 2020.

7
R. Kassab, O. Simeone, and P. Popovski, Coexistence of URLLC and eMBB services in the C-RAN uplink: An information-theoretic study, in Proc. 2018 IEEE Global Communications Conference, Abu Dhabi, United Arab Emirates, 2018, pp. 1–6.
DOI
8
H. Khan, M. M. Butt, S. Samarakoon, P. Sehier, and M. Bennis, Deep learning assisted CSI estimation for joint URLLC and eMBB resource allocation, in Proc. 2020 IEEE International Conference on Communications Workshops, Dublin, Ireland, 2020, pp. 1–6.
DOI
9
W. Yang, C. P. Li, A. Fakoorian, K. Hosseini, and W. Chen, Dynamic URLLC and eMBB multiplexing design in 5G new radio, in Proc. 2020 IEEE 17th Annual Consumer Communications Networking Conference (CCNC), Las Vegas, NV, USA, 2020, pp. 1–5.
DOI
10

Y. Li, Y. Zhao, J. Li, J. Zhang, X. Yu, and J. Zhang, Side channel attack-aware resource allocation for URLLC and eMBB slices in 5G RAN, IEEE Access, vol. 8, pp. 2090–2099, 2020.

11
A. A. Esswie and K. I. Pedersen, Null space based preemptive scheduling for joint URLLC and eMBB traffic in 5G networks, in Proc. 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates, 2018, pp. 1–6.
DOI
12
K. Xiao, X. Liu, X. Han, P. Hao, J. Zhang, D. Zhou, and X. Wei, Flexible multiplexing mechanism for coexistence of URLLC and eMBB services in 5G networks, in Proc. 2020 ITU Kaleidoscope: Industry-Driven Digital Transformation (ITU K), Ha Noi, Vietnam, 2020, pp. 1–9.
DOI
13
A. A. Esswie and K. I. Pedersen, Capacity optimization of spatial preemptive scheduling for joint URLLC-eMBB traffic in 5G new radio, in Proc. 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates, 2018, pp. 1–6.
DOI
14

K. I. Pedersen, G. Berardinelli, F. Frederiksen, P. Mogensen, and A. Szufarska, A flexible 5G frame structure design for frequency-division duplex cases, IEEE Communications Magazine, vol. 54, no. 3, pp. 53–59, 2016.

15
F. M. L. Tavares, G. Berardinelli, N. H. Mahmood, T. B. Sorensen, and P. Mogensen, On the impact of receiver imperfections on the MMSE-IRC receiver performance in 5G networks, in Proc. 2014 IEEE 79th Vehicular Technology Conference (VTC Spring), Seoul, Republic of Korea, 2014, pp. 1–6.
DOI
16
Study on channel model for frequencies from 0.5 to 100 GHz, https://portal:3gpp:org/desktopmodules/Specifications/SpecificationDetails:aspx?specificationId=3173, 2022.
17

J. C. Choi, J. W. Lee, D. J. Lee, Y. K. Park, and H. R. Kim, Flicker-free fringe-field switching liquid crystal display operable at extremely low frequencies for power saving, Advanced Engineering Materials, vol. 23, no. 9, p. 2100174, 2021.

18

S. Garg and A. Dixit, Evaluating power saving techniques in passive optical access networks, Photonic Network Communications, vol. 42, no. 6, pp. 1–14, 2021.

Publication history
Copyright
Rights and permissions

Publication history

Received: 24 May 2022
Accepted: 22 June 2022
Published: 06 September 2022
Issue date: June 2022

Copyright

© All articles included in the journal are copyrighted to the ITU and TUP.

Rights and permissions

This work is available under the CC BY-NC-ND 3.0 IGO license: https://creativecommons.org/licenses/by-nc-nd/3.0/igo/

Return