Advanced Contextual Integration and Millimeter Wave (mmWave) Technology for Optimizing 5G and Next-Generation Networks

Abstract

This paper explores the enhancement of 5G and future generations of mobile networks through the integration of millimeter wave (mmWave) technology and advanced contextual awareness. It presents a comprehensive framework for embedding a sophisticated mmWave module within the ns-3 simulator, enhanced with detailed channel models to enable precise research and simulations. Additionally, it introduces the innovative Context Generation and Handling Function (CGHF), which leverages a publish-subscribe model to efficiently disseminate contextual data across network elements. This function is designed to bolster decision-making processes at various network points, including edges and data centers. The study further details the implementation of a context-aware Radio Access Technology (CRAT) selection strategy that optimizes connectivity and performance in complex scenarios characterized by ultra-dense networks and diverse Radio Access Technologies (RATs). By merging mmWave technology with enhanced contextual intelligence, the paper significantly advances Mobile Core Network (MCN) operations, promoting more reliable, efficient, and forward-thinking solutions in 5G and beyond. The outcomes provide a technological blueprint for improving network functionality and user experience, essential for the upcoming era of smart cities.