6G and Beyond: Dynamic Spectrum Management through Spectrum Slicing and Edge Computing

Abstract

The exponential growth of mobile traffic, densification of heterogeneous networks, and emergence of ultra-massive machine-type communication (umMTC) demand highly agile and efficient spectrum utilization techniques for 6G and beyond wireless systems. Traditional fixed or static allocation policies fail to accommodate the dynamic behaviour of futuristic services such as holographic communications, distributed AI, telepresence, and extended reality. This paper investigates Dynamic Spectrum Management (DSM) using Spectrum Slicing combined with Edge Computing to achieve flexible spectrum allocation, ultra-low latency, and enhanced capacity. A mathematical framework for spectrum slicing is formulated, followed by system-level design integrating Multi-access Edge Computing (MEC) for real-time spectrum orchestration. Simulation results show an improvement in spectral efficiency, latency, and fairness across heterogeneous service classes. Potential challenges and future research directions for 6G DSM architectures are presented.