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Comparison of two methodologies on spectrum sharing information for unlicensed use in the 6-GHz band

  • Um, Jungsun (Radio Resource Research Team, Electronics and Telecommunications Research Institute) ;
  • Kim, Bongsu (Radio Resource Research Team, Electronics and Telecommunications Research Institute) ;
  • Kim, Igor (Radio Resource Research Team, Electronics and Telecommunications Research Institute) ;
  • Park, Seungkeun (Radio Resource Research Team, Electronics and Telecommunications Research Institute)
  • Received : 2021.05.21
  • Accepted : 2021.09.07
  • Published : 2022.08.10

Abstract

With the increasing demand for unlicensed spectrum, several regulators have been opening up the 6-GHz band for unlicensed use while ensuring compliance with the technical requirement to avoid harmful interference in the existing primary services (PSs). In this paper, we present two methodologies, a channel-based method and a frequency-based method, which are applicable to a frequency coordination system that calculates the permissible transmit power in the channels or frequencies available to a secondary service (SS). In addition, we have demonstrated that the available transmit power of an SS can be maximized by adjusting the power allocation of the assigned resource units under the condition that the channel of the SS is partially overlapped with that of the PS. Based on the analysis results, it is suggested that it would be better to utilize the two methods selectively according to the operating channel conditions of the PS and the SS.

Keywords

Acknowledgement

This work was supported by the Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korea government(MSIT) (2019-0-00964, Development of Incumbent Radio Stations Protection and Frequency Sharing Technology through Spectrum Challenge).

References

  1. E. Zola and I. Martin-Escalona, A robust user association, backhaul routing, and switching off model for a 5G network with variable traffic demands, IEEE Access 8 (2020), 96714-96726. https://doi.org/10.1109/access.2020.2992330
  2. S. K. Sharma, I. Woungang, A. Anpalagan, and S. Chatzinotas, Toward tactile internet in beyond 5G era: Recent advances, current issues, and future directions, IEEE Access 8 (2020), 56948-56991. https://doi.org/10.1109/access.2020.2980369
  3. A. M. Baswade, V. Sathya, B. R. Tamma, and A. A. Franklin, Unlicensed carrier selection and user offloading in dense LTEU Networks, in Proc. IEEE Globecom Workshops (GC Wkshps), Washington, DC, USA, Dec. 2016, pp. 1-6.
  4. A. Feldmann, O. Gasser, F. Lichtblau, E. Pujol, I. Poese, C. Dietzel, D. Wagner, M. Wichtlhuber, J. Tapiador, N. Vallina-Rodriguez, and O. Hohlfeld, The lockdown effect: Implications of the COVID-19 pandemic on internet traffic, in Proc. ACM Internet Meas. Conf., Pittsburgh, PA, USA, Oct. 2020, pp. 1-18.
  5. E Au, 6-GHz development in the United States [Standards], IEEE Vehic. Technol. Mag. 14 (2019), no. 1, 16-26. https://doi.org/10.1109/mvt.2018.2882511
  6. CEPT ECC, To study and identify harmonised compatibility and sharing conditions for wireless access system including radio local area networks in the band 5350-5470 MHz and 5725-5925 MHz for the provision of wireless broadband services, CEPT Report 64, European Communications Office, Denmark, 2016.
  7. European Commission Mandate to CEPT to study feasibility and identify harmonized technical conditions for wireless access systems including radio local area networks in the 5925-6425 MHz band for the provision of wireless broadband services, 2017.
  8. FCC, Notice of proposed rulemakiing; In the matter of unlicensed use of the 6 GHz band; expanding flexible use in mid-band spectrum between 3.7 and 24 GHz, 2018.
  9. NTIA, Evaluation of the 5350-5470 MHz and 5850-5925 MHz bands pursuant to Section 6406(b) of the middle class tax relief and job creation act of 2012, 2013.
  10. Ofcom, Improving spectrum access for consumers in the 5GHz band, 2016.
  11. FCC, Revision of part 15 of the commission's rules to permit unlicensed national information infrastructure (U-NII) devices in the 5 GHz band, Small Entity Compliance Guide, May 12, 2015.
  12. https://www.fcc.gov/ecfs/search/filings?limit=25&offset=0&proceedings_name=18-295&sort=date_disseminated,_DESC
  13. ITU-R, Radio regulations, 2020, https://www.itu.int/pub/R-REG-RR
  14. FCC, Report and order and further notice of proposed rule-making; In the matter of unlicensed use of the 6-GHz band (ET Docket No. 18-295); expanding flexible use in mid-band spectrum between 3.7 and 24 GHz (GN Docket No. 17-183), 2020, https://docs.fcc.gov/public/attachments/FCC-20-51A1.pdf
  15. European Commission Mandate to CEPT to study feasibility and identify harmonized technical conditions for wireless access systems including radio local area networks in the 5925-6425 MHz band for the provision of wireless broadband services, 2017.
  16. ECC, Mandate to CEPT to study feasibility and identify harmonized technical conditions for wireless access systems including radio local area networks in the 5925-6425 MHz band for the provision of wireless broadband services, 2020.
  17. Ofcom, Improving spectrum access for consumers in the 5 GHz band, 2020.
  18. G. Naik, J.-M. Park, J. Ashdown, and W. Lehr, Next generation Wi-Fi and 5G NR-U in the 6GHz bands: Opportunities and challenges, IEEE Access 8 (2020), 153027-153056. https://doi.org/10.1109/access.2020.3016036
  19. IEEE Standard 802.11-2020, IEEE Draft Standard for Information technology-Telecommunications and information exchange between systems Local and metropolitan area networks-Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 1: Enhancements for High Efficiency WLAN, 2020.
  20. C. Deng, X. Fang, X. Han, X. Wang, L. Yan, R. He, Y. Long, and Y. Guo, IEEE 802.11be Wi-Fi 7: New challenges and opportunities, 22 (2020), 2136-2166.
  21. 3GPP, 3GPPTR38.889:Technical specification group radio access network; Study on NR-based access to unlicensed spectrum (Release 16), 2018.
  22. A. V. Kini, L. Canonne-Velasquez, M. Hosseinian, M. Rudolf, and J. Stern-Berkowitz, Wi-Fi-LAA coexistence: Design and evaluation of listen before talk for LAA, in Proc. Annu. Conf. Inf. Sci. Syst., Princeton, NJ, USA, Mar. 2016, pp. 157-162.
  23. 3GPP, 3GPPTS38.104:Technical specification group radio access network; NR; base station (BS) radio transmission and reception (Release 16), 2021.
  24. ITU-R Recommendation ITU-R F.758-6, System parameters and considerations in the development of criteria for sharing or compatibility between digital fixed wireless systems in the fixed service and systems in other services and other sources of interference, 2015.
  25. P. Papazian, Basic transmission loss and delay spread measurements for frequencies between 430 and 5750 MHz, IEEE Trans. Antennas Propag. 53 (2005), no. 2, 694-701. https://doi.org/10.1109/TAP.2004.841391
  26. H. Fujii, A. Sato, T. Asai, and Y. Okumura, Extension of clutter loss calculation for recommendation ITU-R P.452, in Proc. Int. Symp. Antennas, Propag. EM Theory, Guangzhou, China, Nov. 2010, pp. 477-480.
  27. ITU-R Recommendation ITU-R P.452-16, Prediction procedure for the evaluation of interference between stations on the surface of the earth at frequencies above about 0.1 GHz, 2015.
  28. J. Lee, K.-W. Kim, M.-D. Kim, J.-J. Park, Y. K. Yoon, and Y. J. Chong, Millimeter-wave directional-antenna beamwidth effects on the ITU-R building entry loss (BEL) propagation model, ETRI J. 42 (2020), 7-16. https://doi.org/10.4218/etrij.2018-0662
  29. ETSI EN 302 217-2 V3.2.2., Fixed radio systems; characteristics and requirements for point-to-point equipment and antennas; Part 2: Digital systems operating in frequency bands from 1 GHz to 86 GHz; harmonised standard for access to radio spectrum, 2020.
  30. P. John, Interference Analysis: Modelling Radio Systems for Spectrum Management, Wiley, Chichester, UK, 2016.
  31. S. H. Raghavan and H. Chew, Frequency-dependent rejection, spectral separation coefficient, and interference analysis, IEEE Aerosp. Conf. 2018 (2018), 1-10.
  32. J. Zhu, J. Liu, Z. Zhou, and L. Li, Resource allocation algorithm for multi-cell cognitive radio networks with imperfect spectrum sensing and proportional fairness, ETRI J. 38 (2016), 1153-1162. https://doi.org/10.4218/etrij.16.0115.0535
  33. N. Forouzan and S. A. Ghorashi, New algorithm for joint subchannel and power allocation in multi-cell OFDMA-based cognitive radio networks, IET Commun. 8 (2014), no. 4, 508-515. https://doi.org/10.1049/iet-com.2013.0040