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Optimizing Optical Attocells Positioning of Indoor Visible Light Communication System

Authors :
Mohammed S. M. Gismalla, Mohammed S. M. Gismalla
Asrul I. Azmi, Asrul I. Azmi
Mohd R. Salim, Mohd R. Salim
Farabi Iqbal, Farabi Iqbal
Mohammad F. L. Abdullah, Mohammad F. L. Abdullah
Mosab Hamdan, Mosab Hamdan
Muzaffar Hamzah, Muzaffar Hamzah
Abu Sahmah M. Supa’at, Abu Sahmah M. Supa’at
Mohammed S. M. Gismalla, Mohammed S. M. Gismalla
Asrul I. Azmi, Asrul I. Azmi
Mohd R. Salim, Mohd R. Salim
Farabi Iqbal, Farabi Iqbal
Mohammad F. L. Abdullah, Mohammad F. L. Abdullah
Mosab Hamdan, Mosab Hamdan
Muzaffar Hamzah, Muzaffar Hamzah
Abu Sahmah M. Supa’at, Abu Sahmah M. Supa’at
Publication Year :
2023

Abstract

Visible light communication (VLC), which is a prominent emerging solution that complements the radio frequency (RF) technology, exhibits the potential to meet the demands of fifth-generation (5G) and beyond technologies. The random movement of mobile terminals in the indoor environment is a challenge in the VLC system. The model of optical attocells has a critical role in the uniform distribution and the quality of communication links in terms of received power and signal-to-noise ratio (SNR). As such, the optical attocells positions were optimized in this study with a developed try and error (TE) algorithm. The optimized optical attocells were examined and compared with previous models. This novel approach had successfully increased minimum received power from −1.29 to −0.225 dBm, along with enhanced SNR performance by 2.06 dB. The bit error rate (BER) was reduced to 4.42 × 10−8 and 6.63 × 10−14 by utilizing OOK-NRZ and BPSK modulation techniques, respectively. The optimized attocells positions displayed better uniform distribution, as both received power and SNR performances improved by 0.45 and 0.026, respectively. As the results of the proposed model are optimal, it is suitable for standard office and room model applications.

Details

Database :
OAIster
Notes :
text, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1422056044
Document Type :
Electronic Resource