Backhaul Capacity-Intent Interference Easing for Sum Rate Improving in 6G Cellular Internet of Things

Authors

  • Murakuppam Divya  M. Tech Student, Department of Electronics and Communication Engineering, Sri Venkateswara University College of Engineering, Tirupati, Andhra Pradesh, India
  • Dr. G. Sreenivasulu  Professor, Department of Electronics and Communication Engineering, Sri Venkateswara University College of Engineering, Tirupati, Andhra Pradesh, India

DOI:

https://doi.org/10.32628/IJSRST2310178

Keywords:

Millimeter Wave (Mmwave), Interference, Backhaul, Sum Rate, Q-Learning

Abstract

A mmWave-enabled integrated access backhaul (IAB) network for the 6G cellular Internet of Things (IoT) is necessary to handle the escalating wideband communications needs. A decreased sum rate and low successful transmission probability were the results of the mmWave-enabled IAB network's significant interference problems between access links and differentiated small-cell base stations' backhaul capacities. This article suggests the Q-learn JUP algorithm, which stands for joint user equipment association and power allocation. In order to establish the UA and PA problem, we first investigate how the SBSs-UE association and transmit power are related. Second, using the interference and backhaul burden as the state, UA and PA as the action, and the overall sum rate increment as the reward function of Q-learning, we determine the best joint optimization framework through off-line training. In order to lessen interference and backhaul load, a new backhaul capacity and cautious matching approach utility function has also been designed. Simulation results demonstrate that, in contrast to existing algorithms, the proposed algorithm may vastly enhance the network sum rate and successful transmission probability.

References

  1. H. Song, J. Bai, Y. Yi, J. Wu and L. Liu, "Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access," in IEEE Computational Intelligence Magazine, vol. 15, no. 1, pp. 44-51, Feb. 2020, doi: 10.1109/MCI.2019.2954643.
  2. IMT Traffic Estimates for the Years 2020 to 2030, document ITU-R SG05, ITU, Geneva, Switzerland, Jul. 2015.
  3. M. Giordani, M. Polese, M. Mezzavilla, S. Rangan and M. Zorzi, "Toward 6G Networks: Use Cases and Technologies," in IEEE Communications Magazine, vol. 58, no. 3, pp. 55-61, March 2020, doi: 10.1109/MCOM.001.1900411.
  4. K. B. Letaief, W. Chen, Y. Shi, J. Zhang and Y. -J. A. Zhang, "The Roadmap to 6G: AI Empowered Wireless Networks," in IEEE Communications Magazine, vol. 57, no. 8, pp. 84-90, August 2019, doi: 10.1109/MCOM.2019.1900271.
  5. B. Zong, C. Fan, X. Wang, X. Duan, B. Wang and J. Wang, "6G Technologies: Key Drivers, Core Requirements, System Architectures, and Enabling Technologies," in IEEE Vehicular Technology Magazine, vol. 14, no. 3, pp. 18-27, Sept. 2019, doi: 10.1109/MVT.2019.2921398.
  6. C. Fiandrino, H. Assasa, P. Casari and J. Widmer, "Scaling Millimeter-Wave Networks to Dense Deployments and Dynamic Environments," in Proceedings of the IEEE, vol. 107, no. 4, pp. 732-745, April 2019, doi: 10.1109/JPROC.2019.2897155.
  7. S. A. Busari, S. Mumtaz, S. Al-Rubaye and J. Rodriguez, "5G Millimeter-Wave Mobile Broadband: Performance and Challenges," in IEEE Communications Magazine, vol. 56, no. 6, pp. 137-143, June 2018, doi: 10.1109/MCOM.2018.1700878.
  8. “NR; study on integrated access and backhaul, V16.0.0,” 3GPP, Sophia Antipolis, France, Rep. TR 38.874, Jan. 2018.
  9. W. Pu, X. Li, J. Yuan and X. Yang, "Resource Allocation for Millimeter Wave Self-Backhaul Network Using Markov Approximation," in IEEE Access, vol. 7, pp. 61283-61295, 2019, doi: 10.1109/ACCESS.2019.2915968.
  10. Q. Han, B. Yang, G. Miao, C. Chen, X. Wang, and X. Guan, “Backhaul aware user association and resource allocation for energy-constrained HetNets,” IEEE Trans. Veh. Technol., vol. 66, no. 1, pp. 580–593, Jan. 2017.
  11. F. Pervez, M. Jaber, J. Qadir, S. Younis, and M. A. Imran, “Memory based user-centric backhaul-aware user cell association scheme,” IEEE Access, vol. 6, pp. 39595–39605, 2018.
  12. Q. Zhang, W. Ma, Z. Feng and Z. Han, "Backhaul-Capacity-Aware Interference Mitigation Framework in 6G Cellular Internet of Things," in IEEE Internet of Things Journal, vol. 8, no. 12, pp. 10071-10084, 15 June15, 2021, doi: 10.1109/JIOT.2021.3050013.
  13. M. Shi, K. Yang, Z. Han and D. Niyato, "Coverage Analysis of Integrated Sub-6GHz-mmWave Cellular Networks With Hotspots," in IEEE Transactions on Communications, vol. 67, no. 11, pp. 8151-8164, Nov. 2019, doi: 10.1109/TCOMM.2019.2939802.
  14. N. Wang, E. Hossain and V. K. Bhargava, "Joint Downlink Cell Association and Bandwidth Allocation for Wireless Backhauling in Two-Tier HetNets With Large-Scale Antenna Arrays," in IEEE Transactions on Wireless Communications, vol. 15, no. 5, pp. 3251-3268, May 2016, doi: 10.1109/TWC.2016.2519401.
  15. Y. Zhu, G. Zheng, L. Wang, K. -K. Wong and L. Zhao, "Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-Antenna Dense Small Cell Networks," in IEEE Transactions on Wireless Communications, vol. 17, no. 5, pp. 2843-2856, May 2018, doi: 10.1109/TWC.2018.2794368.
  16. J. Gao, L. Zhao and X. Shen, "The Study of Dynamic Caching via State Transition Field—the Case of Time-Invariant Popularity," in IEEE Transactions on Wireless Communications, vol. 18, no. 12, pp. 5924-5937, Dec. 2019, doi: 10.1109/TWC.2019.2940676.
  17. S. Zhang, P. He, K. Suto, P. Yang, L. Zhao and X. Shen, "Cooperative Edge Caching in User-Centric Clustered Mobile Networks," in IEEE Transactions on Mobile Computing, vol. 17, no. 8, pp. 1791-1805, 1 Aug. 2018, doi: 10.1109/TMC.2017.2780834.
  18. S. Zhang and J. Liu, "Optimal Probabilistic Caching in Heterogeneous IoT Networks," in IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3404-3414, April 2020, doi: 10.1109/JIOT.2020.2969466.
  19. D. P. Bertsekas, Nonlinear Programming, 2nd ed. Belmont, MA, USA: Athena Sci., 1999.
  20. H. Zhang, H. Liu, J. Cheng and V. C. M. Leung, "Downlink Energy Efficiency of Power Allocation and Wireless Backhaul Bandwidth Allocation in Heterogeneous Small Cell Networks," in IEEE Transactions on Communications, vol. 66, no. 4, pp. 1705-1716, April 2018, doi: 10.1109/TCOMM.2017.2763623.
  21. H. H. M. Tam, H. D. Tuan, D. T. Ngo, T. Q. Duong and H. V. Poor, "Joint Load Balancing and Interference Management for Small-Cell Heterogeneous Networks With Limited Backhaul Capacity," in IEEE Transactions on Wireless Communications, vol. 16, no. 2, pp. 872-884, Feb. 2017, doi: 10.1109/TWC.2016.2633262.
  22. T. M. Nguyen, W. Ajib and C. Assi, "Designing Wireless Backhaul Heterogeneous Networks With Small Cell Buffering," in IEEE Transactions on Communications, vol. 66, no. 10, pp. 4596-4610, Oct. 2018, doi: 10.1109/TCOMM.2018.2837113.
  23. G. Zhao, Y. Li, C. Xu, Z. Han, Y. Xing and S. Yu, "Joint Power Control and Channel Allocation for Interference Mitigation Based on Reinforcement Learning," in IEEE Access, vol. 7, pp. 177254-177265, 2019, doi: 10.1109/ACCESS.2019.2937438.
  24. Y. -J. Yu, T. -Y. Hsieh and A. -C. Pang, "Millimeter-Wave Backhaul Traffic Minimization for CoMP Over 5G Cellular Networks," in IEEE Transactions on Vehicular Technology, vol. 68, no. 4, pp. 4003-4015, April 2019, doi: 10.1109/TVT.2019.2900379.
  25. “Study on scenarios and requirements for next generation access technology, V16.0.0,” 3GPP, Sophia Antipolis, France, Rep. TR 38.913, Jul. 2020.
  26. L. Wang, K. Wong, S. Jin, G. Zheng, and R. W. Heath, “A new look at physical layer security, caching, and wireless energy harvesting for heterogeneous ultra-dense networks,” IEEE Commun. Mag., vol. 56, no.6,pp.49–55,Jun.2018

International Journal of Scientific Research in Science and Technology

Downloads

Published

2023-02-28

Issue

Volume 10, Issue 1, January-February-2023

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Murakuppam Divya, Dr. G. Sreenivasulu "Backhaul Capacity-Intent Interference Easing for Sum Rate Improving in 6G Cellular Internet of Things " International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 1, pp.542-552, January-February-2023. Available at doi : https://doi.org/10.32628/IJSRST2310178