RF Design and Integration Strategies for Non-Terrestrial Networks in Next-Generation Mobile Systems

Abstract

The evolution toward 5G-Advanced and 6G networks necessitates ubiquitous connectivity through seamless Non-Terrestrial Network (NTN) integration with terrestrial infrastructure. This addresses coverage gaps in remote, maritime, aerial, and disaster-affected regions while presenting significant technical challenges. Propagation disparities between satellite and terrestrial links introduce complexities in managing extended round-trip times, Doppler shifts, and variable elevation angles. Mobility management complexity increases due to dynamic satellite footprints requiring sophisticated handover mechanisms. This paper presents a hybrid RF planning framework combining deterministic propagation models with AI-driven traffic prediction for optimized resource allocation. Predictive handover algorithms leverage ephemeris data and machine learning to ensure session continuity. Dual connectivity architectures enable simultaneous NTN-terrestrial operation, while distributed intelligence and edge processing facilitate ultra-low latency decision-making. User-centric QoS management prioritizes mission-critical applications through dynamic resource allocation. Digital twin simulation environments provide validation platforms for performance prediction across heterogeneous networks. These innovations align with 3GPP Release-18/19 specifications, establishing foundations for global, resilient wireless connectivity.