Abstract:
In this paper, a machine learning (ML)-based channel allocation algorithm is proposed to form a secure communication zone in indoor visible light communication (VLC) syst...Show MoreMetadata
Abstract:
In this paper, a machine learning (ML)-based channel allocation algorithm is proposed to form a secure communication zone in indoor visible light communication (VLC) systems. The algorithm first employs the probabilistic neural network (PNN), which classifies the VLC transmitter (Tx) based on its proximity to the user's location. Subsequently, the selected Tx is used to establish a point-to-point channel allocation, hence forming a closed-access zone within a certain effective communication range. Through numerical simulations, it is observed that the single Tx-based VLC transmission confines the legitimate user in a pre-defined trust boundary for a secure transmission.
Published in: 2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Date of Conference: 17-19 July 2024
Date Added to IEEE Xplore: 23 August 2024
ISBN Information: