Cognitive Rate Adaptation in Wireless LANs

Rate adaptation represents a relevant issue in optimization of wireless local area network performance. The paper proposes to employ a cognitive approach to perform rate adaptation, which is able to learn cause-effect relationships without any a priori knowledge. Results demonstrate the potential of the proposed scheme.