Smart Resource Allocation to Enable Network Slicing

Network slicing has emerged as a paradigm to partition a shared physical network infrastructure into multiple autonomous logical slices, each with specific network characteristics. While many recent studies have applied network slicing to cellular networks, fewer have explored its application in Wi-Fi networks, particularly in the context of IEEE 802.11ax, which enables multi-user transmissions through Orthogonal Frequency Division Multiple Access (OFDMA). In this paper, we propose a novel method for proportional resource allocation in Wi-Fi networks, extending OFDMA scheduling to dynamically allocate resources to different slices. Our approach also supports the dynamic reuse of unused resources. Simulations conducted using ns-3 for IEEE 802.11ax demonstrate that the proposed method achieves effective OFDMA scheduling, ensuring that slices meet their performance requirements in terms of throughput and latency and outperforming a state-of-the-art solution.