Smartphone camera-based device-to-device communication using neural network-assisted high-density modulation

Willy Anugrah Cahyadi; Yeon Ho Chung

doi:10.1117/1.OE.57.9.096102

8 September 2018 Smartphone camera-based device-to-device communication using neural network-assisted high-density modulation

Willy Anugrah Cahyadi, Yeon Ho Chung

Author Affiliations +

Optical Engineering, Vol. 57, Issue 9, 096102 (September 2018). https://doi.org/10.1117/1.OE.57.9.096102

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available