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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. The IEEE 802.11 is the most widely adopted standard for wireless indoor communications. It defines physical layer and data-link layer specifications to be adopted for high speed communications in a Wireless Local Area Network (WLAN).
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