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ProSAS: An O-RAN Approach to Spectrum Sharing between NR and LTE (2404.09110v1)

Published 14 Apr 2024 in cs.NI and cs.AI

Abstract: The Open Radio Access Network (O-RAN), an industry-driven initiative, utilizes intelligent Radio Access Network (RAN) controllers and open interfaces to facilitate efficient spectrum sharing between LTE and NR RANs. In this paper, we introduce the Proactive Spectrum Adaptation Scheme (ProSAS), a data-driven, O-RAN-compatible spectrum sharing solution. ProSAS is an intelligent radio resource demand prediction and management scheme for intent-driven spectrum management that minimizes surplus or deficit experienced by both RANs. We illustrate the effectiveness of this solution using real-world LTE resource usage data and synthetically generated NR data. Lastly, we discuss a high-level O-RAN-compatible architecture of the proposed solution.

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References (22)
  1. “Ericsson mobility report,” June, 2023. [Online]. Available: https://www.ericsson.com/en/reports-and-papers/mobility-report/reports
  2. S. Parkvall, E. Dahlman, A. Furuskar, and M. Frenne, “NR: The New 5G Radio Access Technology,” IEEE Communications Standards Magazine, vol. 1, no. 4, pp. 24–30, 2017.
  3. S. Gopal, D. Griffith, R. A. Rouil, and C. Liu, “5G NR-LTE coexistence: opportunities, challenges, and solutions,” arXiv preprint arXiv:2210.03906, 2022.
  4. N. Bui and J. Widmer, “OWL: A reliable online watcher for LTE control channel measurements,” Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges, pp. 25–30, 2016.
  5. J. Yoon, D. Jarrett, and M. Van der Schaar, “Time-series Generative Adversarial Networks,” Advances in Neural Information Processing Systems, vol. 32, 2019.
  6. S. Gopal, D. Griffith, R. Rouil, and C. Liu, “ProSAS: An O-RAN Approach to Spectrum Sharing between NR and LTE,” https://doi.org/10.18434/mds2-3178, accessed: 2024-03-08.
  7. S. Xu, J. Xin, S. Xiong, and Z. Sun, “Performance Analysis of CRS Interference Mitigation Algorithm in LTE and NR Coexistence Scenario,” 2nd Information Communication Technologies Conference (ICTC), pp. 184–188, 2021.
  8. L. Alexandre and S. A. Cerqueira, “Contribution for the Coexistence Analysis between 5G and 4G in the sub-1 GHz Band,” SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), pp. 1–3, 2019.
  9. L. Wan, Z. Guo, Y. Wu, W. Bi, J. Yuan, M. Elkashlan, and L. Hanzo, “4G/5G Spectrum Sharing: Efficient 5G Deployment to Serve enhanced Mobile Broadband and Internet of Things Applications,” IEEE Vehicular Technology Magazine, vol. 13, no. 4, pp. 28–39, 2018.
  10. T. Levanen, K. Ranta-Aho, J. Kaikkonen, S. Nielsen, K. Pajukoski, M. Renfors, and M. Valkama, “5G New Radio and LTE Uplink Coexistence,” IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6, 2018.
  11. N. An, C. Wang, and W. Wang, “Interference Coexistence of 5G NR and LTE System Based on 2.1 GHz,” 12th International Conference on Communication Software and Networks (ICCSN), pp. 90–94, 2020.
  12. D. Li, D. Zhou, and L. Zhong, “Coexistence Analysis Between 5G NR and LTE Network at 1.8 GHz,” International Conference of Modern Trends in Information and Communication Technology Industry (MTICTI), pp. 1–6, 2021.
  13. L. Wan, Z. Guo, and X. Chen, “Enabling Efficient 5G NR and 4G LTE Coexistence,” IEEE Wireless Communications, vol. 26, no. 1, pp. 6–8, 2019.
  14. R. Ratasuk, D. Zhou, and R. Sinha, “LTE-M Coexistence Within 5G New Radio Carrier,” IEEE 3rd 5G World Forum (5GWF), pp. 224–228, 2020.
  15. M. Mozaffari, Y.-P. E. Wang, O. Liberg, and J. Bergman, “Flexible and Efficient Deployment of NB-IoT and LTE-MTC in Coexistence with 5G New Radio,” IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 391–396, 2019.
  16. M. H. C. Garcia, A. Molina-Galan, M. Boban, J. Gozalvez, B. Coll-Perales, T. Şahin, and A. Kousaridas, “A Tutorial on 5G NR V2X Communications,” IEEE Communications Surveys & Tutorials, pp. 1–1, 2021.
  17. O-RAN Alliance, “O-RAN Working Group 1 Use Cases Analysis Report,” O-RAN.WG1.Use-Cases-Analysis-Report-R003, vol. 10.00, 2023.
  18. R. Smith, C. Freeberg, T. Machacek, and V. Ramaswamy, “An O-RAN Approach to Spectrum Sharing Between Commercial 5G and Government Satellite Systems,” MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), pp. 739–744, 2021.
  19. F. Mungari, “An RL Approach for Radio Resource Management in the O-RAN Architecture,” 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), pp. 1–2, 2021.
  20. L. Baldesi, F. Restuccia, and T. Melodia, “ChARM: NextG Spectrum Sharing Through Data-Driven Real-Time O-RAN Dynamic Control,” IEEE INFOCOM 2022-IEEE Conference on Computer Communications, pp. 240–249, 2022.
  21. Ł. Kułacz and A. Kliks, “Dynamic Spectrum Allocation Using Multi-Source Context Information in OpenRAN Networks,” Sensors, vol. 22, no. 9, p. 3515, 2022.
  22. O-RAN Alliance, “O-RAN Working Group 2 AI/ML Workflow Description and Requirements,” O-RAN.WG2.AIML, vol. 1, 2021.
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