International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Rate adaptation is critical to the system performance of wireless networks. In spite of rate adaptation being a MAC layer parameter, potential decisions can be made from the rate of transmission being chosen by the layer. On such decision is the encoding rate of the video at the application layer. Classical rate adaptation algorithms are good at choosing rate for best case scenario, while most fail for the worst case or average case scenario due to uncertainty and mobility of the wireless link. The authors propose a rate adaptation algorithm that can learn about the channel state from the SNR and delivery information of previous transmissions and choose the most optimal transmission rate.