DNN-Based Physical-Layer Network Coding for Visible Light Communications
نویسندگان
چکیده
The key difference between visible light communication (VLC) and radio frequency (RF) is the former’s line-of-sight (LOS) transmission nature, hence a relay node has to be adopted for VLC extend its coverage. Physical-layer network coding (PNC) advantage of doubling throughput two-way (TWRN), where two end nodes exchange information via help relay, compared with conventional store-and-forward routing strategy. Although PNC been studied in literature, state-of-the-art schemes are highly inefficient, requiring tight phase synchronization nodes, difficult realize. This paper proposes application deep neural (DNN) system, named DP-VLC, that enables misaligned phases can deal channel gains noises satisfactory manner without introducing additional computation complexities. We implement DP-VLC using universal software peripheral (USRP) platform self-developed optical front-end commercial off-the-shelf (COTS) light-emitting diodes (LEDs) photo-diodes (PDs). find irregular constellations generated by DP-PNC transmitted recovered 1.5 m link effectively. Experimental results show our prototype performs better than system when signal-interference-to-noise ratio (SINR) received signals larger 13.63 dB achieve up 77.38 Mbps 20 MHz under scheme SINR 22.86 dB. More importantly, we even fixed-constellation saturated regime (e.g., 20–25 dB) non-linear effects may happen moderate regimes 10–20 dB), showing adaptability unpredictable impairments links. Our first attempt at realizing DNN-based TWRN paved way future PNC-enhanced systems.
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ژورنال
عنوان ژورنال: Photonics
سال: 2022
ISSN: ['2304-6732']
DOI: https://doi.org/10.3390/photonics10010023