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WLAN link adaptation based on neural networks
  • Chester Park,
  • Sungkyung Park
Chester Park
Konkuk University
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Sungkyung Park
Pusan National University

Corresponding Author:fspark@pusan.ac.kr

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Abstract

Two neural networks with two features (SNR and mutual information) are applied to link adaptation that is targeted for meeting the WLAN standard. The usefulness of neural-network-based link adaptation is validated for the WLAN and also the performance (throughput and latency) is analysed to obtain some practical gain of link adaptation based on neural networks over the traditional approach.
08 Sep 2024Submitted to Electronics Letters
11 Sep 2024Submission Checks Completed
11 Sep 2024Assigned to Editor
11 Sep 2024Review(s) Completed, Editorial Evaluation Pending
12 Sep 2024Reviewer(s) Assigned
17 Oct 2024Editorial Decision: Revise Major