The El-Rakhawi Cognitive IMS-P2P Convergence Architecture for Hyper-Mobile Multimedia and Network Security A Next-Generation Network (NGN) Framework for Seamless V2V, IPTV, and Multi-Layer Optimized Communications
Year: 2026
Type: book
Abstract: The El-Rakhawi Cognitive IMS-P2P Convergence Architecture revolutionizes Next-Generation Networks (NGN) by resolving core bottlenecks in hyper-mobile scenarios like V2V and IPTV. It decouples control and data planes: the IP Multimedia Subsystem (IMS) manages robust authentication and session control, while heavy multimedia payloads are offloaded to secure, localized Peer-to-Peer (P2P) mesh networks, reducing core traffic by 70%. Key innovations include AI-driven multi-layer optimization (aggregating UMTS, LTE, 5G, Wi-Fi), a predictive seamless handover protocol achieving sub-10ms latency, and end-to-end IMS security for decentralized nodes via ephemeral cryptographic tokens. Governed by the El-Rakhawi Network Equilibrium Equation, this framework ensures an optimal balance of bandwidth, latency, and security, offering a scalable, empirically testable blueprint for future global telecommunications. DOI: 10.5281/zenodo.23058142.
Author: el-rakhawi, mohamed kamal arafa
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7214948535