  Future networks will pave the way for a myriad of applications with different
requirements and Wi-Fi will play an important role in local area networks. This
is why network slicing is proposed by 5G networks, allowing to offer multiple
logical networks tailored to the different user requirements, over a common
infrastructure. However, this is not supported by current Wi-Fi networks. In
this paper, we propose a standard-compliant network slicing approach for the
radio access segment of Wi-Fi by defining multiple Service Set Identifiers
(SSIDs) per Access Point (AP). We present two algorithms, one that assigns
resources according to the requirements of slices in a static way, and another
that dynamically configures the slices according to the network's conditions
and relevant Key Performance Indicators (KPIs). The proposed algorithms were
validated through extensive simulations, conducted in the ns-3 network
simulator, and complemented by theoretical assessments. The obtained results
reveal that the two proposed slicing approaches outperform today's Wi-Fi access
technique, reaching lower error probability for bandwidth intensive slices and
lower latency for time-critical slices. Simultaneously, the proposed approach
is up to 32 times more energy efficient, when considering slices tailored for
low-power and low-bandwidth devices, while increasing the overall spectrum
efficiency.
