Master'sOpen Access

Gelişmiş tek kutuplu optik ortogonal frekans bölmeli çoğullama (eU-OFDM) temelli röle-destekli görünür ışık haberleşmesi (VLC)

2016
0 views
0 downloads
Advisor: Prof. Dr. Murat Uysal

Abstract (EN)

Due to spectrum scarcity of the conventional radio frequency (RF) and the higher demand for wireless services, visible light communication (VLC) has emerged as a complementary solution to RF technology for ubiquitous wireless connectivity. In the first part of this thesis, we consider a relay-assisted VLC system in an indoor environment where an intermediate light source cooperates with the main light source through an orthogonal amplify-and-forward (OAF) relaying protocol in order to transmit high-speed data to the destination terminal. The optical channel considered in this scenario is based on the IEEE802.15.7r VLC reference channel model for an office space. The information source (ceiling light) is connected to the backbone network, desk light acts as a relaying terminal and the receiving terminal is a photodetector attached to a computer. All the three network terminals are equipped with signal processing units. The proposed relay-assisted VLC system employs the enhanced unipolar optical orthogonal frequency division multiplexing (eU-OFDM) modulation approach. Our performance results show that the relay-assisted system achieves a significant gain over the direct transmission. In the second part of this thesis, a serial multi-hop VLC network is considered. We evaluate the BER performance analysis of multi-hop VLC links through Monte Carlo simulation and validate the simulation results with their respective theoretical counterparts.

Author

Dr. Djengomemgoto Gerard

How to Cite

Djengomemgoto Gerard (Master Thesis). Gelişmiş tek kutuplu optik ortogonal frekans bölmeli çoğullama (eU-OFDM) temelli röle-destekli görünür ışık haberleşmesi (VLC), 2016, Özyegin University.

Keywords

License

Tüm Hakları Saklıdır

This work is shared under the specified license terms.

More theses from Özyegin University