|
1. ] J. Schmitt, F. Ciucu, and Y. Jiang, “Network calculus: A theory for deterministic and stochastic service guarantees,” IEEE Communications Magazine, vol. 52, no. 7, pp. 103–109, Jul. 2014. 2. M. Fidler, “Survey of deterministic and stochastic network calculus,” IEEE Communications Surveys & Tutorials, vol. 17, no. 1, pp. 1–14, First Quarter 2015. 3. M. Torkaman and M. M. ShirMohammadi, “Investigating key challenges and technologies in the transition from 5G to 6G,” Intell. Inf. Syst. J., vol. 4, no. 8, pp. 71–82, 2023. 4. M. M. Shirmohammadi, AI Unboxed: Tools & Techniques for the Future, 1st ed., vol. 1. [Online]. Available: https://www.researchgate.net/publication/389659219_AI_UNBOXED_TOOLS_TECHNIQUES_FOR_THE_FUTURE#fullTextFileContent, Mar. 2025, p. 144. 5. M. M. Shirmohammadi, “The Traffic Congestion Analysis Using Traffic Congestion Index and Artificial Neural Network in Main Streets of Electronic City (Case Study: Hamedan City),” Programming and Computer Software, vol. 46, no. 6, pp. 433–442, 2020. 6. M. M. Shirmohammadi and M. Esmaeilpour, “Wavelet neural network and complete ensemble empirical decomposition method to traffic control prediction,” Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 1–13, 2022. 7. H. Rezaei and M. M. ShirMohammadi, "Review of Energy Consumption Protocols in Wireless Sensor Networks," in Proceedings of the 2nd National Conference on Knowledge and Technology in Electrical Engineering, Computer, and Mechanics, 2018, vol. 2. 8. Ibrahim et al., URLLC for 6G Enabled Industry 5.0: A Taxonomy of Architectures, Cross Layer Techniques, and Time Critical Applications, arXiv, 2025. 9. She & Li, Ultra-Reliable and Low-Latency Communications in 6G: Challenges, Solutions, and Future Directions, Springer, 2024. 10. Basaran & Dressler, XAInomaly: Explainable, Interpretable and Trustworthy AI for xURLLC in 6G Open-RAN, TU Berlin, 2024. 11. Shaika et al., AI/ML-aided Capacity Maximization Strategies for URLLC in 5G/6G Wireless Systems: A Survey, Adroit6G, 2024. 12. M. Esmaeilpour and M. M. Shirmohammadi, "Analysis of traffic congestion in main streets of electronic city using traffic congestion index and artificial neural network (case study: Hamedan city)," Proceedings of the Institute for System Programming of the RAS, vol. 32, no. 3, pp. 131-146, 2020 13. H. Kim and J. Lee, “Resource allocation strategies in heterogeneous 6G networks,” IEEE Journal on Selected Areas in Communications, vol. 40, no. 4, pp. 765–778, Apr. 2022. 14. S. Park et al., “Open RAN architecture for 6G: Opportunities and challenges,” IEEE Access, vol. 10, pp. 112345–112360, 2022 15. A. Kumbhare and P. Mohapatra, “AI-driven scheduling in TSN: Toward URLLC compliance,” IEEE Transactions on Network and Service Management, vol. 19, no. 3, pp. 456–468, Sep. 2022.
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