Adaptive Uplink-Downlink Resource Partitioning for CLI Mitigation in 5G HetNets with Dynamic-TDD

Abstract

Advanced duplexing techniques are now required to ensure effective use of spectrum resources in 5G and beyond networks due to the exponential growth in mobile traffic and device connectivity. Unlike static-TDD, which uses fixed configurations, dynamic-TDD allows for flexibility in adjusting UL and DL sub-frame allocations to real-time traffic demands. But cross-link interference (CLI), especially DL-to-UL interference from high-power base station transmissions, poses a serious limitation to D-TDD systems. The improved interference mitigation framework presented in this paper suppresses CLI while optimizing coverage probability by combining adaptive 3D beamforming, fractional power control (FPC), and a multi-tier heterogeneous network model. The interference-to-signal ratio (ISR), path-loss propagation, and SINR coverage probability were analytically formulated and assessed under various FPC values (k = 0–1) and path loss exponents (2b = 2.5, 3.5). Based on simulation results, the suggested model significantly outperforms the traditional system, improving the DL coverage probability by up to 30% and the UL coverage probability by more than 53%. With considerable benefits for cell-edge users, the results show that uplink interference mitigation is more successful because user equipment has a lower transmit power than base stations. These results demonstrate the effectiveness of real-time interference-aware resource allocation and adaptive beamforming as scalable approaches for upcoming ultra-dense D-TDD deployments.

Country : Nigeria

1 Praise Igochi Onu2 Bourdillon O. Omijeh

  1. Department of Electrical/Electronic Engineering, University of Port Harcourt, Nigeria
  2. Department of Electrical/Electronic Engineering, University of Port Harcourt, Nigeria

IRJIET, Volume 9, Issue 8, August 2025 pp. 96-106

doi.org/10.47001/IRJIET/2025.908013

References

  1. Parkvall, S., Dahlman, E., Furuskar, A., & Frenne, M. (2017). NR: The new 5G radio access technology. IEEE Communications Standards Magazine, 1(4), 24-30.
  2. Dahlman, E., Parkvall, S., & Skold, J. (2020). 5G NR: The next generation wireless access technology. Academic Press.
  3. 3GPP. (2017, February-c). Discussion on duplexing flexibility and cross-link interference mitigation schemes (3GPP TSG RAN WG1 Meeting #88, R1-1701616, Issue. https://www.3gpp.org/
  4. WrayCastle. (2024). Time Division Duplexing Explained: A Beginner's Guide to Efficient Communication.  https://wraycastle.com/blogs/knowledge-base/what-is-time-division-duplexing.
  5. Zhu, D., & Lei, M. (2013a). Cluster-based dynamic DL/UL reconfiguration method in centralized RAN TDD with dense deployment of remote radio units. 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).
  6. Sun, F., & Zhao, Y. (2016). Cell cluster-based dynamic TDD DL/UL reconfiguration in TD-LTE systems 2016 IEEE Wireless Communications and Networking Conference.
  7. Ji, H., Kim, Y., Choi, S., Cho, J., & Lee, J. (2013). Dynamic resource adaptation in beyond LTE-A TDD heterogeneous networks. 2013 IEEE International Conference on Communications Workshops (ICC).
  8. Chao, C.-C., Lee, C.-H., Wei, H.-Y., Wang, C.-Y., & Chen, W.-T. (2015). Distributed dynamic-TDD resource allocation in femtocell networks using evolutionary game 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).
  9. Ardah, K., Fodor, G., Silva, Y. C., Freitas, W. C., & Cavalcanti, F. R. (2017). A novel cell reconfiguration technique for dynamic TDD wireless networks. IEEE Wireless Communications Letters, 7(3), 320-323.
  10. ECC, R. (2019). National synchronisation regulatory framework options in 3400-3800 MHz: a toolbox for coexistence of MFCNs in synchronized, unsynchronized and semi-synchronized operation in 3400-3800 MHz. https://www.scribd.com/document/552265275/ECC-Report-296.
  11. KP. (2019). 5G NR: Secondary Synchronization Signal (SSS). https://howltestuffworks.blogspot.com/2019/10/5g-nr-secondary-synchronization-signal.html.
  12. Ruffini, S., Johansson, M., Pohlman, B., & Sandgren, M. (2021). 5G synchronization requirements and solutions. Ericsson technology review, 2021(1), 2-13.
  13. GSMA. (2020). TDD Synchronization at the 3.5GHz range – a key step for 5G success. https://www.gsma.com/spectrum/resources/3-5-ghz-5g-tddsynchronisation/.
  14. Kulkarni, M. N., Andrews, J. G., & Ghosh, A. (2017). Performance of Dynamic and Static TDD in Self-Backhauled Millimeter Wave Cellular Networks. IEEE Transactions on Wireless Communications, 16(10), 6460-6478. https://doi.org/10.1109/twc.2017.2723887.
  15. Yang, H. H., Geraci, G., Zhong, Y., & Quek, T. Q. S. (2017). Packet Throughput Analysis of Static and Dynamic TDD in Small Cell Networks. IEEE Wireless Communications Letters, 6(6), 742-745. https://doi.org/10.1109/lwc.2017.2738019.
  16. Yassin, M., Dirani, Y., Ibrahim, M., Lahoud, S., Mezher, D., & Cousin, B. (2015). A novel dynamic inter-cell interference coordination technique for LTE networks 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).
  17. Khoryaev, A., Chervyakov, A., Shilov, M., Panteleev, S., & Lomayev, A. (2012). Performance analysis of dynamic adjustment of TDD uplink-downlink configurations in outdoor picocell LTE networks. 2012 IV International Congress on Ultra-Modern Telecommunications and Control Systems.
  18. Lukowa, A., & Venkatasubramanian, V. (2016). Performance of strong interference cancellation in flexible UL/DL TDD systems using coordinated muting, scheduling and rate allocation 2016 IEEE Wireless Communications and Networking Conference.
  19. Lukowa, A., & Venkatasubramanian, V. (2018). On the Performance of 5G Flexible TDD Systems with Coordinated Beamforming 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).
  20. Ding, T., Ding, M., Mao, G., Lin, Z., Zomaya, A. Y., & Lopez-Perez, D. (2018). Performance Analysis of Dense Small Cell Networks With Dynamic TDD. IEEE Transactions on Vehicular Technology, 67(10), 9816-9830. https://doi.org/10.1109/tvt.2018.2854287.
  21. Gao, Y., Cheng, L., Li, Y., Zhang, X., & Yang, D. (2015). Performance Evaluation on Cell Clustering Interference Mitigation and CoMP in Multi-Pico Network with Dynamic TDD 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).
  22. Lin, Y.-T., Chao, C.-C., & Wei, H.-Y. (2015). Dynamic TDD interference mitigation by using soft reconfiguration. 2015 11th international conference on heterogeneous networking for quality, reliability, security and robustness (QSHINE).
  23. Andrews, J. G., Baccelli, F., & Ganti, R. K. (2011). A Tractable Approach to Coverage and Rate in Cellular Networks. IEEE Transactions on Communications, 59(11), 3122-3134. https://doi.org/10.1109/tcomm.2011.100411.100541.
  24. Lukowa, A., &Venkatasubramanian, V. (2019). Centralized UL/DL Resource Allocation for Flexible TDD Systems with Interference Cancellation. IEEE Transactions on Vehicular Technology, 68(3), 2443-2458. https://doi.org/10.1109/tvt.2019.2893061.
  25. Tan, J.-S., Yang, S., Meng, K., Zhang, J., Tang, Y., Bu, Y., & Wang, G. (2023). Lightweight machine learning for digital cross-link interference cancellation with RF chain characteristics in flexible duplex MIMO systems. IEEE Wireless Communications Letters, 12(7), 1269-1273.
  26. Mogensen, P. E., Pedersen, K. I., Leth-Espensen, P., Fleury, B., Frederiksen, F., Olesen, K., & Larsen, S. L. (1997). Preliminary measurement results from an adaptive antenna array testbed for GSM/UMTS. 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.
  27. Rachad, J., Nasri, R., & Decreusefond, L. (2019). A 3D beamforming scheme based on the spatial distribution of user locations. 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
  28. Fenton, L. (1960). The sum of log-normal probability distributions in scatter transmission systems. IRE Transactions on communications systems, 8(1), 57-67.
  29. Jacod, J., & Protter, P. (2012). Probability essentials. Springer Science & Business Media.
  30. Rachad, J., Nasri, R., & Decreusefond, L. (2019). A 3D beamforming scheme based on the spatial distribution of user locations. 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
  31. Alex, A., Aliou, B., Aladji, K., Adama, K., Tabbabi, O., & Olivier, A. (2021). Measurements Based Evaluation of Pathloss Exponenets in Urban Outdoor Environments. International Journal of Advanced Research (IJAR), 9(03), 72-79. https://doi.org/10.21474/IJAR01/12556.
  32. Razali, N. A. M., Habaebi, M. H., Zulkurnain, N., Islam, M. R., & Zyoud, A. (2017). The distribution of path loss exponent in 3D indoor environment. Int. J. Appl. Eng. Res, 12(18), 7154-7161.