Traffic Prediction for Cognitive Networking in Multi-Channel Wireless Networks

Conference/Journal
IEEE
Authors
Yao Liu Bheemarjuna Reddy Tamma BS Manoj Ramesh Rao
BibTex
Abstract
Abstract: One of the early applications of cognitive networking in wireless networks is the problem of dynamic channel selection in multi-channel wireless networks. Dynamic channel selection requires gathering past and current traffic across multiple channels and predict future traffic loads on each of the channels for deciding best channel for the Access Point (AP) to operate on for serving wireless clients. Traffic prediction can be performed by employing Multi-layer Feedforward Neural Network (MFNN) models for learning the effect ...