Performance of Deep Learning Assisted Visible Light Communications Impaired by Blockages
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Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/restrictedAccess
Özet
This study investigates the performance of visible light communications (VLCs) in the presence of blockages. An indoor office scenario with a single VLC access point serving the user nodes in the presence of human blockages is examined. System performance is assessed through closed-form expressions for outage probability and symbol error rate for binary phase shift keying and quadrature amplitude modulation. A deep neural network for symbol detection is deployed at the receiver. Performance metrics illustrate that the blockages cause significant impact on signal detection. Computer simulations corroborate the correctness of the obtained analytical expressions.
Açıklama
Anahtar Kelimeler
Deep Learning, VLC, Blockage, BPSK, and QAM
Kaynak
2023 IEEE Global Communications Conference
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
