Data Transfer in Smart Grids: Leveraging MIMO-OFDM for Enhanced Communication

Aqeel Luaibi Challoob
International Journal of Computational and Electronic Aspects in Engineering
Volume 5: Issue 4, December 2024, pp 154-164

Author's Information
Aqeel Luaibi Challoob1 
Corresponding Author
1Department of Computer Techniques Engineering, Imam Alkadhim University College (IKU), Baghdad, 10001, Iraq
aqeelluaibi@iku.edu.iq
Research Paper -- Peer Research Papered
First online on – 28 December 2024

Open Access article under Creative Commons License

Cite this article –Aqeel Luaibi Challoob “Data Transfer in Smart Grids: Leveraging MIMO-OFDM for Enhanced Communication”, International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 5, Issue 4, pp. 154-164, 2024.
https://doi.org/10.26706/ijceae.5.4.20241104

Abstract:-
The growing complexity of smart grid structures necessitates robust, efficient, and reliable verbal exchange frameworks to manipulate dynamic and massive-scale statistics exchange. This research investigates the combination of Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) technology as a transformative solution for addressing challenges in statistics transfer within clever grids, consisting of latency, interference, and bandwidth constraints. Utilizing a simulation-primarily based methodology, this have a look at evaluates the performance of MIMO-OFDM underneath diverse community situations, comparing it in opposition to baseline protocols commonly utilized in smart grid communication. Key findings indicate that MIMO-OFDM drastically complements network throughput via 23.5%, reduces latency by means of 33.Three%, and minimizes packet loss by way of 61.Eight%, demonstrating its potential for coping with high-extent and low-latency communication necessities. The results underscore the scalability and flexibility of MIMO-OFDM, specifically in heterogeneous smart grid environments, making it a compelling candidate for subsequent-era grid conversation systems. This research no longer handiest bridges critical gaps in the present literature but also offers actionable insights for imposing MIMO-OFDM in actual-world clever grids, paving the manner for more resilient and green power distribution networks. The implications amplify to strength companies, policymakers, and technologists in search of innovative answers to beautify clever grid infrastructure.
Index Terms:-
Smart Grids; MIMO-OFDM; Data Transmission; Network Performance; Communication Networks; Packet Loss Minimization; Simulation-based Methodology; Network Throughput.
REFERENCES
  1. R. Chavan and J. Muley, "Trust Model for Cloud Data Service Providers," International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 4, no. 3, pp. 86–89, 2023.
  2. D. Tse and P. Viswanath, Fundamentals of Wireless Communication, Cambridge University Press, 2005.
  3. J. G. Andrews et al., "What Will 5G Be?" IEEE Journal on Selected Areas in Communications, vol. 32, no. 6, pp. 1065–1082, 2014.
  4. A. Scaglione and R. J. Thomas, "Advances in Smart Grid Technologies," IEEE Communications Magazine, vol. 57, no. 1, pp. 52–59, 2019.
  5. V. C. Gungor, D. Sahin, T. Kocak, et al., "Smart Grid Technologies: Communication Technologies and Standards," IEEE Transactions on Industrial Informatics, vol. 7, no. 4, pp. 529–539, 2011.
  6. I. A. Ameen and M. A. Al-Sheikh, "Wireless Sensor Networks for Smart Gardening: ESP-NOW and Blynk IoT Integration for Water and Energy Optimization," International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 5, no. 3, pp. 101–115, 2024.
  7. E. Akhavan-Rezai et al., "Communication Requirements for the Smart Grid: Use Cases and Machine-to-Machine Applications," IEEE Communications Magazine, vol. 54, no. 8, pp. 128–135, 2016.
  8. A. V. Karthick and S. Balasubramanian, "Information Technology for Smart Business," International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 4, no. 3, pp. 78–85, 2023.
  9. A. A. Salih, "Improved Security and Handover Technique in (4G) LTE," International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 3, no. 4, pp. 76–83, 2022.
  10. A. Gokhale, L. Gada, K. Narula, and A. Jogalekar, "Software Defined Networking Towards 5G Network," International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 4, no. 3, pp. 68–77, 2023.
  11. S. Galli, A. Scaglione, and Z. Wang, "For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid," Proceedings of the IEEE, vol. 99, no. 6, pp. 998–1027, 2011.
  12. F. Shahnia et al., "Smart Distribution Grids: A Review of Modern Approaches," Energy Policy Journal, vol. 67, no. 1, pp. 579–587, 2014.
  13. N. Lu et al., "The Role of Smart Grid Communication in Power Delivery Systems," IEEE Communications Magazine, vol. 48, no. 4, pp. 96–101, 2010.
  14. A. Iqbal et al., "MIMO Systems for Smart Grids: Challenges and Opportunities," IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 45–52, 2019.
  15. R. Khan and M. H. Rehmani, "Applications of Wireless Sensor Networks in Smart Grids: A Survey," IEEE Access, vol. 4, pp. 2122–2138, 2016.
  16. J. Lin, W. Yu, X. Yang, et al., "A Survey on Internet of Things: Architecture, Enabling Technologies, Security, and Applications," IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1125–1142, 2017.
  17. Z. M. Fadlullah et al., "Towards Intelligent Machine-to-Machine Communications in Smart Grid," IEEE Communications Magazine, vol. 49, no. 4, pp. 60–65, 2011.
  18. X. Liu et al., "Adaptive Modulation in OFDM Systems for Smart Grids," IEEE Transactions on Communications, vol. 66, no. 3, pp. 1025–1035, 2018.
  19. S. Sharma and G. Singh, "Implementation of MIMO-OFDM for Smart Grid Communication," International Journal of Engineering Science and Technology, vol. 11, no. 3, pp. 45–56, 2019.
  20. S. Ali et al., "Interference Mitigation in Smart Grid Wireless Networks," IEEE Transactions on Smart Grid, vol. 11, no. 4, pp. 3421–3430, 2020.
  21. X. Zhang et al., "Energy-Efficient Communication in Smart Grids Using MIMO-OFDM," Journal of Green Energy, vol. 12, no. 1, pp. 34–45, 2016.
  22. A. L. Challoob and A. H. Hussein, "Enhancing the Performance Assessment of Network-Based and Machine Learning for Module Availability Estimation," International Journal of System of Systems Engineering, vol. 14, no. 1, pp. 1–22, 2024.
  23. S. Han et al., "An Overview of Massive MIMO: Benefits and Challenges," IEEE Journal on Selected Topics in Signal Processing, vol. 10, no. 3, pp. 308–319, 2017.
  24. C. Park and W. Kim, "Spectral Efficiency Optimization in Smart Grid Communication Networks," IEEE Transactions on Wireless Communications, vol. 17, no. 6, pp. 4075–4085, 2018.
  25. X. Lyu et al., "Artificial Intelligence for Smart Grid Communication," IEEE Communications Surveys & Tutorials, vol. 22, no. 2, pp. 1496–1519, 2020.
  26. X. Wang et al., "Smart Grid Security Challenges and Solutions," IEEE Communications Magazine, vol. 52, no. 5, pp. 64–71, 2014.
  27. W. Lin et al., "A Survey on OFDM-Based Smart Grid Communication," Journal of Emerging Technologies in Computing Systems, vol. 18, no. 1, pp. 34–51, 2022.
  28. F. Gao et al., "MIMO-Based Smart Grid Communication: Opportunities and Challenges," IEEE Access, vol. 7, pp. 12998–13009, 2019.
  29. Y. Yilmaz et al., "Machine Learning Applications in Smart Grid Communication Systems," IEEE Internet of Things Journal, vol. 7, no. 7, pp. 6548–6560, 2020.
  30. Y. Zhou and F. Zhao, "OFDM Resource Allocation for Smart Grid Applications," IEEE Transactions on Industrial Informatics, vol. 17, no. 8, pp. 5654–5662, 2021.
  31. IEEE Smart Grid Initiative, "Communication Protocols and Standards for Next-Generation Grids," IEEE Standards Documentation, 2022.
  32. Z. Wang and L. Hanzo, "OFDM and MIMO for Smart Grids: State-of-the-Art and Research Directions," IEEE Communications Surveys & Tutorials, vol. 23, no. 3, pp. 2037–2062, 2021.
  33. H. Chen et al., "Reliability and Scalability in Smart Grid Networks," Energy Informatics Journal, vol. 3, no. 2, pp. 45–59, 2019.
  34. A. L. Challoob, A. A. Mohsin, and M. H. Yousif, "Optimizing Network Performance through Advanced Machine Learning-Based Traffic Management," Central Asian Journal of Mathematical Theory and Computer Sciences, vol. 5, no. 5, pp. 546–563, 2024.
  35. R. Gupta et al., "Blockchain-Integrated Smart Grid Communication," Journal of Electrical Engineering & Technology, vol. 15, no. 6, pp. 3563–3572, 2020.

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