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Mobile Networks and Applications

, Volume 23, Issue 4, pp 1020–1027 | Cite as

Optimum Ultra-Reliable and Low Latency Communications in 5G New Radio

  • Shao-Yu Lien
  • Shao-Chou Hung
  • Der-Jiunn Deng
  • Yueh Jir Wang
Article

Abstract

To satisfactorily gratify the scope of International Mobile Telecommunications 2020 (IMT-2020), 3GPP has launched the standardization activity of the fifth generation (5G) New Radio (NR) to deploy the first phase system (Release 15) in 2018 and the ready system (Release 16) in 2020. Different from the IMT-Advanced system solely enhancing the transmission data rates regardless the variety of emerging wireless traffic, the IMT-2020 system supports diverse wireless services including enhanced mobile broadband (eMBB), massive machine-type communications (mMTC) and ultra-reliable and low latency communications (URLCC) to fully capture wireless applications in 2020. Among all the wireless services, URLLC jointly demanding low latency and high reliability and mMTC emphasizing on high reliability create substantial impacts to the designs of NR air interface. On the advert of the conventional feedback based transmission in LTE/LTE-A designed for eMBB imposing potential inefficiency in supporting URLLC, in this paper, we revisit the feedbackless transmission framework, and reveal a tradeoff between these two transmission frameworks to latency and reliability guarantees. A multi-armed bandit (MAB) based reinforcement learning approach is therefore proposed to achieve the optimum harmonization of feedback and feedbackless transmissions. Our simulation results fully demonstrate the practicability of the proposed approach in supporting URLLC, to justify the potential of our approach in the practice of 5G NR.

Keywords

5G New Radio (NR) IMT-2020 URLLC Latency and reliability 

References

  1. 1.
    ITU, IMT Vision - Framework and overall objectives of the future development of IMT for 2020 and beyond Recommendation ITU-r M (2015)Google Scholar
  2. 2.
    Lien S-Y, Shieh S-L, Huang Y, Su B, Hsu Y-L, Wei H-Y (2017) 5G New radio: waveform, frame structure, multiple access, and initial access. IEEE Commun Mag 55(6):64–71CrossRefGoogle Scholar
  3. 3.
    Ericsson, R1-1612923 : on URLLC Design Principles, 3GPP TSG RAN 1–87 (2016)Google Scholar
  4. 4.
    Cover TM, Thomas JA (2015) Elements of information theory. Wiley, HobokenzbMATHGoogle Scholar
  5. 5.
    Wong VWS, Schober R, Ng DWK, Wang L-C (2017) Key technologies for 5G wireless systems. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  6. 6.
    Bertsekas D, Gallager R (2015) Data networks. Prentice-Hall, New JerseyzbMATHGoogle Scholar
  7. 7.
    Robin H (1952) Some aspects of the sequential design of experiments. Bull Am Math Soc 55:527–535MathSciNetCrossRefGoogle Scholar
  8. 8.
    Asmussen SR (2003) Random walks, applied probability and queues. Stoch Model Appl Prob 51:220–243CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Computer Science and Information EngineeringNational Chung Cheng UniversityChia-YiTaiwan
  2. 2.Graduate Institute of Communication EngineeringNational Taiwan UniversityTaipeiTaiwan
  3. 3.Department of Computer Science and Information EngineeringNational Changhua University of EducationChanghuaTaiwan
  4. 4.National Chung-Shan Institute of Science and TechnologyTaoyuanTaiwan

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