8 September 2018 Smartphone camera-based device-to-device communication using neural network-assisted high-density modulation
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Abstract
Device-to-device (D2D) communication has become one of the focuses for future wireless communications in conjunction with rapidly growing smartphone technologies. Smartphone camera-based D2D communication is presented as a favorable solution to supporting indoor D2D communications. As a smartphone has both camera and display, two smartphones can communicate over a relatively short range distance indoors in the form of smartphone display (transmitter) and smartphone camera (receiver) link. The smartphone camera-based wireless communication called optical camera communication (OCC), however, suffers from low data rate that is at most a hundred kilobits per second. To ameliorate this, we propose a high-density modulation that is more efficient in achieving an Mbps rate for smartphone camera-based D2D systems, by exploiting two-dimensional data transmission capability in OCC. Neural network is also implemented to improve the performance of the proposed system. To verify the proposed system, simulations and experiments were performed. It is demonstrated that a 2.66 Mbps rate of the proposed system is achieved with an acceptable bit error rate.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2018/$25.00 © 2018 SPIE
Willy Anugrah Cahyadi and Yeon Ho Chung "Smartphone camera-based device-to-device communication using neural network-assisted high-density modulation," Optical Engineering 57(9), 096102 (8 September 2018). https://doi.org/10.1117/1.OE.57.9.096102
Received: 21 February 2018; Accepted: 23 August 2018; Published: 8 September 2018
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