Skip to main content
Log in

Spectrum sharing for LTE and 5G-NR coexistence

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

Spectrum sharing provides a rapid migration pathway toward 5G by enabling the coexistence of 4G LTE and 5G new radio (NR) that share the same spectrum. Due to significant differences in the LTE and 5G-NR air interfaces, several enablers are required to facilitate the spectrum sharing. In this study, we explore the coexistence features and investigate their impacts on network performance. For static and dynamic spectrum sharing scenarios, we assess the impacts of different spectrum sharing ratios, user ratios, MIMO configurations, mixed numerology profiles and traffic patterns on the user throughput and network capacities of spectrum sharing networks, compared with the LTE only and 5G-NR only networks with exclusive spectrum access. The key results show that spectrum sharing leads to a marginal capacity gain over LTE only network and achieves considerably lower capacity than the 5G-NR only network. Also, the results show that mixed numerology profiles between the LTE and 5G-NR lead to capacity losses due to inter-numerology interference. In addition, user and spectrum sharing ratios between LTE and 5G-NR have critical impacts on performance. Reduced spectrum per device as the number of 5G devices increases, higher signaling overhead and higher scheduling complexity are other limiting factors for spectrum sharing networks. The results show limited capacity benefits and reinforce spectrum sharing between LTE and 5G-NR as mainly an evolutionary path to accommodate 5G users in the same LTE spectrum while migrating to the fully-fledged 5G networks. For significant capacity increase, other features such as carrier aggregation, overlay of small cells and higher order MIMO would need to be incorporated into the network.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Correia, N., Al-Tam, F., & Rodriguez, J. (2021). Optimization of mixed numerology profiles for 5G wireless communication scenarios. Sensors, 21(4), 1494.

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  2. Busari, S. A., Mumtaz, S., Al-Rubaye, S., & Rodriguez, J. (2018). 5G millimeter-wave mobile broadband: Performance and challenges. IEEE Communications Magazine, 56(6), 137–143.

    Article  Google Scholar 

  3. Busari, S.A., Mumtaz, S., Huq, K.M.S., Rodriguez, J., & Gacanin, H. (2017). System-level performance evaluation for 5G mm wave cellular network. In GLOBECOM 2017 - 2017 IEEE global communications conference, pp. 1–7. https://doi.org/10.1109/GLOCOM.2017.8254055

  4. Papageorgiou, G. K., Voulgaris, K., Ntougias, K., Ntaikos, D. K., Butt, M. M., Galiotto, C., Marchetti, N., Frascolla, V., Annouar, H., Gomes, A., Morgado, A. J., Pesavento, M., Ratnarajah, T., Gopala, K., Kaltenberger, F., Slock, D. T. M., Khan, F. A., & Papadias, C. B. (2020). Advanced dynamic spectrum 5G mobile networks employing licensed shared access. IEEE Communications Magazine, 58(7), 21–27.

    Article  Google Scholar 

  5. Zhou, Y., Xu, X., Hu, C., Hou, J., & Xie, W. (2021). Performance analysis and experimental verification of 20MHz dynamic spectrum sharing network. In 2021 2nd information communication technologies conference (ICTC), pp. 102–106. https://doi.org/10.1109/ICTC51749.2021.9441557

  6. Xin, J., Xu, S., & Zhang, L. (2021). Dynamic spectrum sharing for NR-LTE networks. In 2021 2nd information communication technologies conference (ICTC), pp. 161–164. https://doi.org/10.1109/ICTC51749.2021.9441612

  7. Tehrani, R. H., Vahid, S., Triantafyllopoulou, D., Lee, H., & Moessner, K. (2016). Licensed spectrum sharing schemes for mobile operators: A survey and outlook. IEEE Communications Surveys & Tutorials, 18(4), 2591–2623. https://doi.org/10.1109/COMST.2016.2583499

    Article  Google Scholar 

  8. Sharma, S. K., Bogale, T. E., Le, L. B., Chatzinotas, S., Wang, X., & Ottersten, B. (2018). Dynamic spectrum sharing in 5G wireless networks with full-duplex technology: Recent advances and research challenges. IEEE Communications Surveys & Tutorials, 20(1), 674–707. https://doi.org/10.1109/COMST.2017.2773628

    Article  Google Scholar 

  9. Wan, L., Guo, Z., Wu, Y., Bi, W., Yuan, J., Elkashlan, M., & Hanzo, L. (2018). 4G5G spectrum sharing: Efficient 5G deployment to serve enhanced mobile broadband and internet of things applications. IEEE Vehicular Technology Magazine, 13(4), 28–39. https://doi.org/10.1109/MVT.2018.2865830

    Article  Google Scholar 

  10. Parvini, M., Zarif, A. H., Nouruzi, A., Mokari, N., Javan, M. R., Abbasi, B., Ghasemi, A., & Yanikomeroglu, H. (2023). Spectrum sharing schemes from 4G to 5G and beyond: Protocol flow, regulation, ecosystem, economic. IEEE Open Journal of the Communications Society, 4, 464–517. https://doi.org/10.1109/OJCOMS.2023.3238569

    Article  Google Scholar 

  11. Basnet, S., Jayawickrama, B.A., He, Y., & Dutkiewicz, E. (2018). Transmit power allocation for general authorized access in spectrum access system using carrier sensing range. In 2018 IEEE 88th vehicular technology conference (VTC-Fall), pp. 1–5. https://doi.org/10.1109/VTCFall.2018.8690975

  12. Kalliovaara, J., Jokela, T., Kokkinen, H., & Paavola, J. (2018). Licensed shared access evolution to provide exclusive and dynamic shared spectrum access for novel 5G use cases. In S. S. Moghaddam (Ed.), Cognitive Radio in 4G/5G Wireless Communication Systems. , Chap. 3. IntechOpen. https://doi.org/10.5772/intechopen.79553

  13. Mumtaz, S., Al-Dulaimi, A., Huq, K. M. S., Saghezchi, F. B., & Rodriguez, J. (2016). WiFi in licensed band. IEEE Communications Letters, 20(8), 1655–1658. https://doi.org/10.1109/LCOMM.2016.2581160

    Article  Google Scholar 

  14. Lin, P., Zhang, Z., & Li, X. (2023). 2.1GHz Dynamic spectrum sharing scheme for 4G/5G mobile network. In 2023 international wireless communications and mobile computing (IWCMC), pp. 681–686. https://doi.org/10.1109/IWCMC58020.2023.10182743

  15. Yazar, A., & Arslan, H. (2019). Reliability enhancement in multi-numerology-based 5G new radio using INI-aware scheduling. EURASIP Journal on Wireless Communications and Networking, 2019(1), 110. https://doi.org/10.1186/s13638-019-1435-z

  16. Miuccio, L., Panno, D., Pisacane, P., & Riolo, S. (2022). A QoS-aware and channel-aware radio resource management framework for multi-numerology systems. Computer Communications, 191, 299–314. https://doi.org/10.1016/j.comcom.2022.05.009

    Article  Google Scholar 

  17. Ericsson: Ericsson spectrum sharing–A better way to build 5G spectrum. Ericsson. https://www.ericsson.com/en/ran/spectrum-sharing

  18. Fastenbauer, A., Nabavi, A., Shiyahin, A., Bokor, A., Schwarzinger, P., Schartmuller, F., Hao, L., Lipovec, T., Nausner, J., Buchner, C., Brom, J., Elbal, B.R., Dittrich, T., Nagel, L., Muller, M., Ademaj, F., Schwarz, S., & Rupp, M. (2021). User Manual–The Vienna 5G system level simulator v1.2. Institute of telecommunications, TU Wien. Austria Vienna

  19. Pratschner, S., Tahir, B., Marijanovic, L., Mussbah, M., Kirev, K., Nissel, R., Schwarz, S., & Rupp, M. (2018). Versatile mobile communications simulation: The Vienna 5G Link Level Simulator. EURASIP Journal on Wireless Communications and Networking, 2018(1), 226.

    Article  Google Scholar 

  20. Sanguanpuak, T., Guruacharya, S., Rajatheva, N., & Latva-Aho, M. (2015). Resource allocation for co-primary spectrum sharing in MIMO networks. In 2015 IEEE international conference on communication workshop (ICCW), pp. 1083–1088. https://doi.org/10.1109/ICCW.2015.7247321

  21. Singh, B., Koufos, K., Tirkkonen, O., & Berry, R. (2015). Co-primary inter-operator spectrum sharing over a limited spectrum pool using repeated games. In 2015 IEEE international conference on communications (ICC), pp. 1494–1499. https://doi.org/10.1109/ICC.2015.7248535

  22. Müller, M. K., Ademaj, F., Dittrich, T., Fastenbauer, A., Ramos Elbal, B., Nabavi, A., Nagel, L., Schwarz, S., & Rupp, M. (2018). Flexible multi-node simulation of cellular mobile communications: The Vienna 5G System Level Simulator. EURASIP Journal on Wireless Communications and Networking, 2018(1), 227.

    Article  Google Scholar 

  23. Marijanovic, L., Schwarz, S., & Rupp, M. (2020). Multiplexing services in 5G and beyond: Optimal resource allocation based on mixed numerology and mini-slots. IEEE Access, 8, 209537–209555. https://doi.org/10.1109/ACCESS.2020.3039352

    Article  Google Scholar 

  24. Study on 3D channel model for LTE, v12.2.0 , 3GPP TR 36.873. Technical report (2014). Last accessed: 26-11-2022. http://www.3gpp.org/ftp//Specs/archive/36_series/36.873

  25. Busari, S.A., Saidul Huq, K.M., Mumtaz, S., & Rodriguez, J. (2018). Impact of 3D channel modeling for ultra-high speed beyond-5G networks. In 2018 IEEE Globecom Workshops (GC Wkshps), pp. 1–6. https://doi.org/10.1109/GLOCOMW.2018.8644286

  26. 3GPP: TS 38.306 TSG RAN; NR, User Equipment (UE) radio access capabilities v16.1.0. [retrieved: 2020-08-20] (2020). http://www.3gpp.org/ftp//Specs/archive/38_series/38.306/

  27. Busari, S.A., Saghezchi, F.B., Mumtaz, S., & Rodriguez, J. (2020). Multi-objective Hybrid Scheduler enabling efficient resource management for 5G UDN. In 2020 IEEE 25th international workshop on computer aided modeling and design of communication links and networks, pp. 1–6. https://doi.org/10.1109/CAMAD50429.2020.9209298

  28. Busari, S.A., Correia, N., Mumtaz, S., Rodriguez, J., & Saghezchi, F.B. (2021). Performance evaluation of radio resource schedulers in LTE and 5G NR two-tier HetNets. In 2021 IEEE 26th international workshop on computer aided modeling and design of communication links and networks, pp. 1–6.

  29. 3GPP: TS 38.211 Technical specification group radio access network; NR, Physical channels and modulation v15.1.0. [retrieved: 2018-04-26] (2018). http://www.3gpp.org/ftp//Specs/archive/38_series/38.211/

Download references

Funding

This work is funded by the Fundação para a Ciência e a Tecnologia (FCT-Portugal)/MEC through national funds under the MATRIS project with reference number 2022.07313.PTDC (https://doi.org/10.54499/2022.07313.PTDC).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Original draft preparation, simulations and results presentations, analyses and visualisation were performed by Sherif Adeshina Busari. The first draft of the manuscript was written by Sherif Adeshina Busari. All authors edited and revised the previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Sherif Adeshina Busari.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to declare that are relevant to the content of this article.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Busari, S.A., Correia, N., Saghezchi, F.B. et al. Spectrum sharing for LTE and 5G-NR coexistence. Telecommun Syst 85, 649–664 (2024). https://doi.org/10.1007/s11235-024-01113-w

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-024-01113-w

Keywords

Navigation