AI-Empowered Software-Defined WLANs

The complexity of wireless and mobile networks is growing at an unprecedented pace. This trend proving current network control management techniques based on analytical models simulations to be impractical, especially if combined with the data deluge expected from future applications such as augmented reality. particularly true for software-defined local area (SO-WLANs). It our belief that battle this complexity, SO-WLANs must follow artificial intelligence (AI) -native approach. In article, we introduce aiOS, which AI-based platform builds toward autonomous SD-WLANs. Our proposal aligned most recent trends in in-network AI promoted by ITU Telecommunication Standardization Sector (ITU-T) architecture disaggregated radio access Open Radio Access Network Alliance. We validate aiOS a practical use case, namely frame size optimization SD-WLANs, consider long-term evolution, challenges, scenarios AI-assisted automation networking domain.