Nearfield Free-Space Visible Light Communication System via Smartphone Screen

Belyakov, N. A.; Borodkin, A. I.; Polukhin, I. S.; Shiryayev, D. S.; Kozyreva, Olga A.; Bougrov, V. E.

doi:10.1109/iclo48556.2020.9285415

Cited by 1 publication

(1 citation statement)

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“…For the distance of 15cm, a throughput of 311.22 Kbps with an error rate of 10% was achieved for TETRIS [16] using four colors, 10 fps frame rate, and 14 × 14 pixel color blocks. Based on similar work, the proposed system in paper [17] demonstrated bandwidth of 0.7 Mbps for a short distance of 20cm. Although it was observed that screen/display to camera communication systems provide higher data rate and robustness, they require dedicated display screens, which make them less cost efficient.…”

Section: Related Workmentioning

confidence: 89%

A Nested Texture Inspired Novel Image Pattern Based Optical Camera Communication

Salvi

Vasantha

2022

IEEE Access

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In Optical Camera Communication, pattern recognition is a vital component of display-based communication. However, as the distance between the source and camera increases, the visibility of the pattern reduces. Decoding each pattern requires extensive computational resources. This paper proposes a nested texture-inspired novel binary hierarchical image pattern classification-based modulation for optical camera communication to provide efficient pattern classification and achieve longer communication distance. Custom 8x8 patterns are generated at the transmitter based on input data using nested outer and inner patterns. On the receiver side, multi-threaded pattern matching is performed simultaneously for inner and outer patterns for faster decoding. A simulator is built to test the performance of linear search and two variants of binary search for pattern matching. A hardware prototype and Matlab app are designed to perform experiments to test the performance of the proposed technique in a real-world environment. Experiments were conducted to select optimal camera parameter values for the best Signal to Noise Ratio(SNR) and to analyze the impact of pattern intensity profile on decoding at various distances. The proposed pattern communication technique showcased 48.6%, and 42.5% improvement in Bit Error Ratio(BER) compared to Data Matrix and QR Code Pattern-based communication techniques, respectively.

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Section: Related Workmentioning

confidence: 89%