FROM SMS TO RCS: INTELLIGENT FRAMEWORKS FOR RESILIENT MESSAGING IN EMERGENCY SCENARIOS
DOI:
https://doi.org/10.18372/2310-5461.68.20800Keywords:
SMS, intelligent routing, RCS, routingfallback, 5G, delivery assurance, IEMOF, IGDP, emergency communicationAbstract
The article investigates the transformation of mobile messaging technologies from the traditional Short Message Service (SMS) to the modern Rich Communication Services (RCS) within the context of 5G networks and emergency communications. The authors emphasize that, despite SMS remaining the cornerstone of public alerting systems due to its universality and compliance with regulatory requirements, it demonstrates technical limitations during high-load situations. RCS, in contrast, introduces enhanced user interactivity and multimedia capabilities but lacks mechanisms for guaranteed delivery under degraded network conditions. To overcome these challenges, the paper introduces two key concepts: the Intelligent Emergency Messaging Optimization Framework (IEMOF) and the Guaranteed Delivery Index (IGDP). IEMOF represents a multi-layer architecture that dynamically determines the optimal communication channel using real-time network and device data, while IGDP provides a quantitative metric for assessing delivery reliability based on probability, latency, and freshness of channel information. The methodology involves Monte Carlo simulations, analysis of empirical datasets from telecom operators and CPaaS platforms, and regression fitting to calibrate model parameters. Simulation results demonstrate that integrating SMS and RCS through intelligent fallback mechanisms significantly enhances delivery performance and resilience during emergencies. The study also outlines the importance of maintaining updated device and network capability maps to ensure accuracy of routing decisions. The authors conclude that the convergence of SMS and RCS, guided by intelligent frameworks like IEMOF and validated by IGDP metrics, forms the foundation for next-generation, adaptive, and user-centric public alert systems. The research provides practical recommendations for the future standardization of hybrid emergency communication protocols and their implementation within 5G infrastructures.
References
GSMA. (2024). The Mobile Economy 2024. GSMA Intelligence Report. https://www.gsma.com/mobileeconomy
Mobile Ecosystem Forum. (2025). Global Mobile Messaging Report 2025. https://mobileecosystemforum.com
European Commission. (2020). European Electronic Communications Code (Directive 2018/1972). Official Journal of the EU. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32018L1972
Government of Japan, Cabinet Office. (2022). J-Alert Nationwide Warning System Overview. https://www.bousai.go.jp
GSMA. (2023). RCS Business Messaging: The Future of Operator Messaging. GSMA Whitepaper. https://www.gsma.com
Twilio. (2024). Omnichannel Messaging and Intelligent Routing. Twilio Inc. https://www.twilio.com
Dusane, K. K. (2025). Mastering Performance Optimization in Messaging Platforms: A Comprehensive Framework for Scalable Communication Systems. Journal of Information Systems Engineering & Management, 10(58s), 239–251. https://doi.org/10.52783/jisem.v10i58s.12576
Al-Shamaileh, O., & Al-Dalahmeh, M. (2018). The Viability of Mobile Services SMS and Cell Broadcast in Emergency Management Solutions. International Journal of Interactive Mobile Technologies, 12(1), 105–117. https://doi.org/10.3991/ijim.v12i1.7677
ITU. (2020). IMT-2020 Standards for 5G. International Telecommunication Union. https://www.itu.int
GSMA. (2022). RCS Interoperability and Messaging in 5G Environments. GSMA Technical Report. https://www.gsma.com
GSMA. (2025). Introduction to GSMA Device Map. GSMA Services. https://www.gsma.com/solutions-and-impact/industry-services/gsma_resources/introduction-to-gsma-device-map/
Ofcom. (2024). Review of the A2P SMS Termination Market. Ofcom Consultation. https://www.ofcom.org.uk
Kroese, D. P., Brereton, T., Taimre, T., & Botev, Z. I. (2014). Why the Monte Carlo method is so important today. Wiley Interdisciplinary Reviews: Computational Statistics, 6(6), 386–392. https://doi.org/10.1002/wics.1314
Montgomery, D. C., & Runger, G. C. (2021). Applied Statistics and Probability for Engineers (7th ed.). Wiley.
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