A Cognitive Scheme for Radio Admission Control in LTE Systems
In order to provide QoS requirements in high speed future communication networks, such as LTE, the operator has to provide a radio admission control algorithm which will guarantee the QoS of different service types (e.g. voice, data, video, ftp) while maximizing radio resource utilization. In this paper, the authors propose a cognitive radio admission control scheme based on a multilayer feed-forward neural network. According to their scheme, the eNodeB performs radio admission control using a cognitive engine that learns from the past experience how the admission of a new session would affect the QoS of all sessions in the future. They implemented their radio admission control scheme using a LTE-EPC simulator.