Outage and bit error rate analysis for vehicular visible light communications

Sheng-Hong Lin; Jin-Yuan Wang; Xu Bao; Yun Li

doi:10.1117/1.OE.56.8.086114

30 August 2017 Outage and bit error rate analysis for vehicular visible light communications

Sheng-Hong Lin, Jin-Yuan Wang, Xu Bao, Yun Li

Author Affiliations +

Optical Engineering, Vol. 56, Issue 8, 086114 (August 2017). https://doi.org/10.1117/1.OE.56.8.086114

Abstract

Recently, vehicular visible light communication (V2LC) is proposed as a solution to increase road safety and realize autonomous driving. The system performance for the outdoor V2LC system is investigated. In the system, the main distortion is caused by ambient-induced shot noise and thermal noise. With path loss and atmosphere turbulence, a statistical channel model is established for outdoor V2LC. Based on the channel model, the probability density function of the composite channel gain is derived. Moreover, the theoretical expressions of the outage probability and the bit error rate are derived, respectively. Numerical results show that the derived theoretical expressions are very accurate and can evaluate the system performance without time-intensive simulations.

Citation Download Citation

Sheng-Hong Lin, Jin-Yuan Wang, Xu Bao, and Yun Li "Outage and bit error rate analysis for vehicular visible light communications," Optical Engineering 56(8), 086114 (30 August 2017). https://doi.org/10.1117/1.OE.56.8.086114

Received: 28 May 2017; Accepted: 14 August 2017; Published: 30 August 2017

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