skip to main content
10.1145/3508072.3508183acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicfndsConference Proceedingsconference-collections
research-article

Bearing Measurement with Beam Refinement for Positioning in 5G Networks

Authors Info & Claims
Published:13 April 2022Publication History

ABSTRACT

With transition of New Radio (NR) gNodeB (gNB) and User Equipment (UE) to millimeter wave (mmWave) 5G Ultra Dense Networks (UDN) provide opportunities to achieve impossible in previous 2G-4G cellular networks sub-meter positioning accuracy. Salient technical capability of 5G NR, distinguishing it from location estimation in previous wireless networks, is the possibility of bearing measurement not only by gNB, but also by UE. If 2G-4G cellular networks implemented mainly trilateration secondary processing with time of arrival primary measurement for UE positioning, 5G and beyond UDN, expect to widely use triangulation by angle of arrival (AOA) and angle of departure (AOD), estimated through beam management. Bearing measurements gained rapid adoption in 5G NR due to narrow beam antenna technology, practically realizable at gNB and UE, working in mmWave. Contribution of current research is simulation model investigation of bearing measurement with beam refinement for various use cases and parameters, allowing qualitative evaluation of its influence on positioning accuracy. Simulation revealed, that to attain beam alignment, not only array size should be increased, but also predefined within angular range equally spaced azimuth and elevation angle pairs for pencil beams should also be raised.

References

  1. Ahmed Al-Ansi, Abdullah M. Al-Ansi, Ammar Muthanna, Ibrahim A. Elgendy, and Andrey Koucheryavy. 2021. Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers. Future Internet 13, 5: 118 (April 2021). https://doi.org/10.3390/fi13050118Google ScholarGoogle ScholarCross RefCross Ref
  2. Alexander Paramonov, Ammar Muthanna, Omar I. Aboulola, Ibrahim A. Elgendy, Riad Alharbey, Evgeny Tonkikh, and Andrey Koucheryavy. 2020. Beyond 5G Network Architecture Study: Fractal Properties of Access Network. Applied Sciences 10, 20: 7191 (October 2020). https://doi.org/10.3390/app10207191Google ScholarGoogle ScholarCross RefCross Ref
  3. Anastasia Yastrebova, Ruslan Kirichek, Yevgeni Koucheryavy, Aleksey Borodin and Andrey Koucheryavy. 2018. Future Networks 2030: Architecture & Requirements. In Proceedings of the 10th International Congress on Ultra-Modern Telecommunications and Control Systems and Workshops (ICUMT). Moscow, 1-8. https://doi.org//10.1109/ICUMT.2018.8631208Google ScholarGoogle ScholarCross RefCross Ref
  4. Stefania Bartoletti 2021. Location-Based Analytics in 5G and Beyond. IEEE Communications Magazine 59, 7 (July 2021), 38-43. https://doi.org/10.1109/MCOM.001.2001096Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Ojas Kanhere, Theodore S. Rappaport. 2021. Position Location for Futuristic Cellular Communications - 5G and Beyond. IEEE Communications Magazine 59, 1 (January 2021), 70-75. https://doi.org/10.1109/MCOM.001.2000150Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Satyam Dwivedi 2021. Positioning in 5G networks. Retrieved December 14, 2021 from https://arxiv.org/abs/2102.03361Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Andre Bourdoux 2020. 6G White Paper on Localization and Sensing. Retrieved December 14, 2021 from https://arxiv.org/abs/2006.01779Google ScholarGoogle Scholar
  8. John D. Roth, Murali Tummala and John C. McEachen. 2019. Fundamental Implications for Location Accuracy in Ultra-Dense 5G Cellular Networks. IEEE Transactions on Vehicular Technology, 68, 2 (February 2019), 1784-1795. https://doi.org/10.1109/TVT.2018.2885413Google ScholarGoogle ScholarCross RefCross Ref
  9. John D. Roth, Murali Tummala and John C. McEachen. 2018. Efficient System Geolocation Architecture in Next-Generation Cellular Networks. IEEE Systems Journal, 12, 4 (December 2018), 3414-3425, https://doi.org/10.1109/JSYST.2017.2701903Google ScholarGoogle ScholarCross RefCross Ref
  10. José A. del Peral-Rosado, Ronald Raulefs, José A. López-Salcedo and Gonzalo Seco-Granados. 2018. Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G. IEEE Communications Surveys & Tutorials, 20, 2. 1124-1148. https://doi.org/10.1109/COMST.2017.2785181Google ScholarGoogle ScholarCross RefCross Ref
  11. Christos Laoudias, Adriano Moreira, Sunwoo Kim, Sangwoo Lee, Lauri Wirola and Carlo Fischione. 2018. A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation. IEEE Communications Surveys & Tutorials, 20, 4, (Fourthquarter 2018), 3607-3644, https://doi.org/10.1109/COMST.2018.2855063Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Stefania Bartoletti, Andrea Conti, Davide Dardari, and Andrea Giorgetti. 2018. 5G Localization and Context-Awareness. 5G Italy White Book: From Research to Market, 2018. Retrieved December 14, 2021 from https://www.5gitaly.eu/2018/wp-content/uploads/2019/01/5G-Italy-White-eBook-5G-Localization.pdfGoogle ScholarGoogle Scholar
  13. Xingqin Lin 2017. Positioning for the Internet of Things: A 3GPP Perspective. IEEE Communications Magazine, 55, 12, (December 2017), 179-185, https://doi.org/10.1109/MCOM.2017.1700269Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Ying Liu, Xiufang Shi, Shibo He and Zhiguo Shi. 2017. Prospective Positioning Architecture and Technologies in 5G Networks. IEEE Network, 31, 6 (November/December 2017), 115-121. https://doi.org/10.1109/MNET.2017.1700066Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Henk Wymeersch, Gonzalo Seco-Granados, Giuseppe Destino, Davide Dardari and Fredrik Tufvesson. 2017. 5G mmWave Positioning for Vehicular Networks. IEEE Wireless Communications, 24, 6 (December 2017), 80-86. https://doi.org/10.1109/MWC.2017.1600374Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Klaus Witrisal et. al. 2016. High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend. IEEE Signal Processing Magazine, 33, 2 (March 2016) 59-70. https://doi.org/10.1109/MSP.2015.2504328Google ScholarGoogle ScholarCross RefCross Ref
  17. Rocco Di Taranto, Srikar Muppirisetty, Ronald Raulefs, Dirk Slock, Tommy Svensson and Henk Wymeersch. 2014. Location-Aware Communications for 5G Networks: How location information can improve scalability, latency, and robustness of 5G. IEEE Signal Processing Magazine, 31, 6 (November 2014) 102-112. https://doi.org/10.1109/MSP.2014.2332611Google ScholarGoogle ScholarCross RefCross Ref
  18. Reza Zekavat, R. Michael Buehrer. 2019. Handbook of position location: Theory, practice and advances, 2nd Edition. John Wiley & Sons.Google ScholarGoogle Scholar
  19. Grigoriy Fokin, Vladimir Sevidov. 2021. Model for 5G UDN Positioning System Topology Search Using Dilution of Precision Criterion. In Proceedings of the 2021 International Conference on Electrical Engineering and Photonics, 32-36, https://doi.org/10.1109/EExPolytech53083.2021.9614751Google ScholarGoogle ScholarCross RefCross Ref
  20. Grigoriy Fokin, Vladimir Sevidov. 2021. Topology Search Using Dilution of Precision Criterion for Enhanced 5G Positioning Service Area. In Proceedings of the 13th International Congress on Ultra-Modern Telecommunications and Control Systems and Workshops (ICUMT), 131-136. https://doi.org/10.1109/ICUMT54235.2021.9631679Google ScholarGoogle ScholarCross RefCross Ref
  21. 3GPP TS 22.261 V18.3.0 (2021-06). Service requirements for the 5G system; Stage 1 (Release 18).Google ScholarGoogle Scholar
  22. 3GPP TR 22.804 V16.3.0 (2020-07). Study on Communication for Automation in Vertical Domains (Release 16).Google ScholarGoogle Scholar
  23. 3GPP TR 22.872 V16.1.0 (2018-09). Study on positioning use cases; Stage 1 (Release 16).Google ScholarGoogle Scholar
  24. 3GPP TR 22.862 V14.1.0 (2016-09). Feasibility Study on New Services and Markets Technology Enablers for Critical Communications; Stage 1 (Release 14).Google ScholarGoogle Scholar
  25. 3GPP TS 23.273 V17.2.0 (2021-09). 5G System (5GS) Location Services (LCS); Stage 2 (Release 17).Google ScholarGoogle Scholar
  26. 3GPP TS 38.305 V16.5.0 (2021-06). NG Radio Access Network (NG-RAN); Stage 2 functional specification of User Equipment (UE) positioning in NG-RAN (Release 16).Google ScholarGoogle Scholar
  27. 3GPP TS 37.171 V16.1.0 (2020-09). User Equipment (UE) performance requirements for Radio Access Technology (RAT) Independent Positioning Enhancements (Release 16).Google ScholarGoogle Scholar
  28. 3GPP TS 38.455 V16.3.0 (2021-04). NG-RAN; NR Positioning Protocol A (NRPPa) (Release 16).Google ScholarGoogle Scholar
  29. 3GPP TS 37.355 V16.4.0 (2021-03). LTE Positioning Protocol (LPP) (Release 16).Google ScholarGoogle Scholar
  30. 3GPP TR 38.802 V14.2.0 (2017-09). Study on New Radio Access Technology Physical Layer Aspects (Release 14).Google ScholarGoogle Scholar
  31. 3GPP TS 38.214 V16.7.0 (2021-09). NR; Physical layer procedures for data (Release 16).Google ScholarGoogle Scholar
  32. 3GPP TS 38.215 V16.4.0 (2020-12). NR; Physical layer measurements (Release 16).Google ScholarGoogle Scholar
  33. Irina Stepanets, Grigoriy Fokin and Andreas Müller. 2019. Beamforming Techniques Performance Evaluation for 5G massive MIMO Systems. In Proceedings of the 5th Collaborative European Research Conference (CERC 2019). Darmstadt, Germany, 2348, 57-68.Google ScholarGoogle Scholar
  34. Grigoriy Fokin, Vitaly Lazarev. 2019. Location Accuracy of Radio Emission Sources for Beamforming in Ultra-Dense Radio Networks. In Proceedings of the 2019 IEEE Microwave Theory and Techniques in Wireless Communications (MTTW), 9-12. https://doi.org/10.1109/MTTW.2019.8897228Google ScholarGoogle ScholarCross RefCross Ref
  35. Vitaly Lazarev, Grigoriy Fokin and Irina Stepanets. 2019. Positioning for Location-Aware Beamforming in 5G Ultra-Dense Networks. In Proceedings of the 2019 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech), 136-139, https://doi.org/10.1109/EExPolytech.2019.8906825Google ScholarGoogle ScholarCross RefCross Ref
  36. Luca Chiaraviglio, Simone Rossetti, Sara Saida, Stefania Bartoletti and Nicola Blefari-Melazzi. 2021. Pencil Beamforming Increases Human Exposure to ElectroMagnetic Fields”: True or False? IEEE Access, 9, (February 2021), 25158-25171. https://doi.org/10.1109/ACCESS.2021.3057237Google ScholarGoogle ScholarCross RefCross Ref
  37. Yuqiang Heng, Jeffrey G. Andrews, Jianhua Mo, Vutha Va, Anum Ali, Boon Loong Ng and Jianzhong Charlie Zhang. 2021. Six Key Challenges for Beam Management in 5.5G and 6G Systems. IEEE Communications Magazine, 59, 7 (July 2021), 74-79. https://doi.org/10.1109/MCOM.001.2001184Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Jihoon Bang, Hyeonjin Chung, Junyeol Hong, Hyeongwook Seo, Jaehoon Choi and Sunwoo Kim. 2021.Millimeter-Wave Communications: Recent Developments and Challenges of Hardware and Beam Management Algorithms. IEEE Communications Magazine, 59, 8 (August 2021), 86-92. https://doi.org/10.1109/MCOM.001.2001010Google ScholarGoogle ScholarCross RefCross Ref
  39. Marco Giordani, Michele Polese, Arnab Roy, Douglas Castor and Michele Zorzi. 2019. Standalone and Non-Standalone Beam Management for 3GPP NR at mmWaves. IEEE Communications Magazine, 57, 4, (April 2019), 123-129. https://doi.org/10.1109/MCOM.2019.1800384Google ScholarGoogle ScholarCross RefCross Ref
  40. Eko Onggosanusi 2018. Modular and High-Resolution Channel State Information and Beam Management for 5G New Radio. IEEE Communications Magazine, 56, 3 (March 2018), 48-55. https://doi.org/10.1109/MCOM.2018.1700761Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Marco Giordani, Michele Polese, Arnab Roy, Douglas Castor and Michele Zorzi. 2019. A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies. IEEE Communications Surveys & Tutorials, 21, 1, (Firstquarter 2019), 173-196. https://doi.org/10.1109/COMST.2018.2869411Google ScholarGoogle ScholarCross RefCross Ref
  42. Yu-Ngok Ruyue Li, Bo Gao, Xiaodan Zhang and Kaibin Huang. 2020. Beam Management in Millimeter-Wave Communications for 5G and Beyond. IEEE Access, 8, (January 2020), 13282-13293. https://doi.org/10.1109/ACCESS.2019.2963514Google ScholarGoogle ScholarCross RefCross Ref
  43. Constantine A. Balanis. 2016. Antenna theory: analysis and design, 4th ed. Hoboken, New Jersey: John Wiley & Sons.Google ScholarGoogle Scholar
  44. Robert J. Mailloux. 2017. Phased Array Antenna Handbook, Artech House.Google ScholarGoogle Scholar
  45. Frank Gross. 2015. Smart Antennas with MATLAB. McGraw-Hill.Google ScholarGoogle Scholar
  46. Phased Array System Toolbox. Mathworks. Retrieved December 14, 2021 from https://www.mathworks.com/products/phased-array.htmlGoogle ScholarGoogle Scholar
  47. Grigoriy Fokin, Andrei Vladyko. 2020. The Vehicles Positioning in Ultra-Dense 5G/V2X Radio Access Networks Using the Extended Kalman Filter. Proceedings of Telecommunication Universities 6, 4. (December 2020), 45-59. https://doi.org/10.31854/1813-324X-2020-6-4-45-59Google ScholarGoogle ScholarCross RefCross Ref
  48. Grigoriy Fokin, Andrei Vladyko. 2021. Vehicles Positioning with the Fusion of Time of Arrival, Angle of Arrival and Inertial Measurements in the Extended Kalman Filter. Proceedings of Telecommunication Universities 7, 2 (June 2021), 51-67. https://doi.org/10.31854/1813-324X-2021-7-2-51-67Google ScholarGoogle ScholarCross RefCross Ref
  49. Grigoriy Fokin, Andrei Vladyko. 2021. Vehicles Tracking in 5G-V2X UDN using Range, Bearing and Inertial Measurements. In Proceedings of the 13th International Congress on Ultra-Modern Telecommunications and Control Systems and Workshops (ICUMT), 137-142. https://doi.org/10.1109/ICUMT54235.2021.9631627Google ScholarGoogle ScholarCross RefCross Ref
  50. Grigoriy Fokin. 2021. Bearing Measurement with Beam Sweeping for Positioning in 5G Networks. In Proceedings of the 2021 IEEE Microwave Theory and Techniques in Wireless Communications (MTTW), pp. 64-67. https://doi.org/10.1109/MTTW53539.2021.9607082Google ScholarGoogle ScholarCross RefCross Ref
  51. NR SSB Beam Sweeping. Mathworks. Retrieved December 14, 2021 from https://www.mathworks.com/help/5g/ug/nr-ssb-beam-sweeping.htmlGoogle ScholarGoogle Scholar
  52. NR Downlink Transmit-End Beam Refinement Using CSI-RS. Mathworks. Retrieved December 14, 2021 from https://www.mathworks.com/help/5g/ug/nr-downlink-transmit-end-beam-refinement-using-csi-rs.htmlGoogle ScholarGoogle Scholar
  53. 5G Toolbox. Mathworks. Retrieved December 14, 2021 from https://www.mathworks.com/products/5g.htmlGoogle ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    ICFNDS '21: Proceedings of the 5th International Conference on Future Networks and Distributed Systems
    December 2021
    847 pages
    ISBN:9781450387347
    DOI:10.1145/3508072

    Copyright © 2021 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 13 April 2022

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format