A cognitive system for adaptation of Wi-Max physical layer

In this paper, a cognitive system for link adaptation of Wi-Max physical layer is presented. The proposed cognitive system makes the Wi-Max physical layer adaptive to the wireless channel. It monitors the wireless channel as well as the system performance and then by choosing optimal transmission parameters adapts the physical layer thus maximizing the latter. The cognitive system is based on Support Vector Machine (SVM) technique with a novel feature set used for the adaptation purpose in Wi-Max. The wireless channels used in our simulations are Stanford University Interim (SUI) channel models combined with a range of SNR values.. Simulation results show that the proposed cognitive system improves the Wi-Max system performance.