Prediction of Throughput of EXT WLANs through Machine Learning

Abstract

WLANs are expected to be one of the foundations of next-generation wireless communication systems. They're well-known for their unique capacity to deliver high data speeds in key places (hotspots).WLANs, with IEEE 802.11 as the industry's most widely accepted standard, are a cost-effective alternative for wireless internet connection that can cover most of today's communication needs in residential and business contexts. However, the scarcity of frequency spectrum in the ISM radio bands, growing throughput demands from new bandwidth-demanding applications, and the heterogeneity of current wireless network architecture all contribute to tremendous complexity [1]. In dense WLAN deployments, such concerns become more important, resulting in several partially overlapping scenarios and coexistence issues.