Efficient Admission Control based on Predicted Traffic Characteristics

As the use of bandwidth hungry applications such as video conferencing increases, ensuring quality of service (QoS) becomes increasingly important. In wireless access networks such as WiFi and WiMax, admission control is necessary to control QoS. Many admission control methods use the mean bitrate of a flow to determine if it can be allowed, however there is a lack of methods that accurately assess variable bit rate flows. We propose a simple alternative method that uses the bitrate statistics of each flow to approximate the probability of exceeding the medium bandwidth. A new flow is permitted only if the probability of exceeding the channel bandwidth is sufficiently low.