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Analysis of Frequency Offset Effect on PRACH in 5G NR Systems

  • Wenxi HeEmail author
  • Yifan Du
  • Hang Long
Conference paper
  • 167 Downloads
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 312)

Abstract

Physical Random Access Channel (PRACH) in 5G new radio (NR) systems transmits random access preamble for the user equipment (UE) to access the network. In 5G NR systems, Zadoff-Chu (ZC) sequences are used as random access preamble sequences. Frequency offset severely affects the perfect autocorrelation properties of the preamble sequences, thereby affecting the preamble detection performance and timing accuracy. In this paper, frequency offset effect on PRACH preamble miss detection rate and timing error in 5G NR systems is analyzed. Firstly, the frequency offset effect on inter-carrier interference and the correlation of general sequences is derived. Then, based on the former derivation and characteristics of ZC sequences, the frequency offset effect on correlation of ZC sequences is derived. Moreover, PRACH preamble miss detection rate and timing error are analyzed. The analytical results show that for different random access UEs with different PRACH preamble numbers, the random access performances are differently affected by the same frequency offset. Besides, the higher miss detection rate, the smaller timing error. The simulation results show the rationality of the analysis.

Keywords

PRACH Frequency offset Correlation 

References

  1. 1.
    3GPP TS 38.211, 3rd Generation Partnership Project, Technical Specification Group Radio Access Network, NR, Physical channels and modulation, Release 15 (2019)Google Scholar
  2. 2.
    3GPP TS 38.213, 3rd Generation Partnership Project, Technical Specification Group Radio Access Network, NR, Physical layer procedures for control, Release 15 (2019)Google Scholar
  3. 3.
    Thota, J., Aijaz, A.: On performance evaluation of random access enhancements for 5G URLLC. In: IEEE Wireless Communications and Networking Conference (WCNC), Marrakech, Morocco, pp. 1–7 (2019)Google Scholar
  4. 4.
    Tao, J., Yang, L.: Improved Zadoff-Chu sequence detection in the presence of unknown multipath and carrier frequency offset. IEEE Commun. Lett. 22(5), 922–925 (2018)CrossRefGoogle Scholar
  5. 5.
    Tang, Q., Long, H., Yang, H., Li, Y.: An enhanced LMMSE channel estimation under high speed railway scenarios. In: 2017 IEEE International Conference on Communications Workshops, Paris, France, pp. 999–1004 (2017)Google Scholar
  6. 6.
    Cao, A., Xiao, P., Tafazolli, R.: Frequency offset estimation based on PRACH preambles in LTE. In: 2014 11th International Symposium on Wireless Communications Systems, Barcelona, Spain, pp. 22–26 (2014)Google Scholar
  7. 7.
    Hua, M., Wang, M., Yang, W., You, X., Shu, F., Wang, J., et al.: Analysis of the frequency offset effect on random access signals. IEEE Trans. Commun. 61(11), 4728–4740 (2013)CrossRefGoogle Scholar
  8. 8.
    Zhang, Y., Zhang, Z., Hu, X.: An improved preamble detection method for LTE-A PRACH based on Doppler frequency offset correction. In: Liu, X., Cheng, D., Jinfeng, L. (eds.) ChinaCom 2018. LNICST, vol. 262, pp. 573–582. Springer, Cham (2019).  https://doi.org/10.1007/978-3-030-06161-6_56CrossRefGoogle Scholar
  9. 9.
    3GPP TS 38.104, 3rd Generation Partnership Project, Technical Specification Group Radio Access Network, NR, Base Station radio transmission and reception, Release 15 (2019)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020

Authors and Affiliations

  1. 1.Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless CommunicationMinistry of Education Beijing University of Posts and TelecommunicationsBeijingChina

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