Channel Modeling for Visible Light Communications

In this chapter, we present a novel and realistic channel modeling approach for visible light communications that overcomes the limitations of previous works. In our work, we consider wavelength dependency, effect of realistic light sources as well as different types of reflections such as specular and mixed cases of diffuse and specular. We use nonsequential ray tracing algorithms to calculate the detected power and path lengths from source to detector for each ray. These are then processed to yield the channel impulse responses for various indoor environments. We further present a channel characterization study where channel parameters such as channel DC gain, root mean square delay spread, coherence bandwidth, mean excess delay are calculated for different environments.

[1]  Asunción Santamaría,et al.  Monte Carlo calculation of impulse response on diffuse IR wireless indoor channels , 1998 .

[2]  Zabih Ghassemlooy,et al.  Optical Wireless Communications , 2000 .

[3]  Zabih Ghassemlooy,et al.  Channel characterization for indoor visible light communications , 2014, 2014 3rd International Workshop in Optical Wireless Communications (IWOW).

[4]  Asunción Santamaría,et al.  Ray-tracing algorithms for fast calculation of the channel impulse response on diffuse IR wireless indoor channels , 2000 .

[5]  Rafael Pérez Jiménez,et al.  Reflection model for calculation of the impulse response on IR-wireless indoor channels using ray-tracing algorithm , 2002 .

[6]  Murat Uysal,et al.  Indoor channel modelling and characterization for visible light communications , 2014, 2014 16th International Conference on Transparent Optical Networks (ICTON).

[7]  R. Pérez-Jiménez,et al.  Modified Monte Carlo scheme for high-efficiency simulation of the impulse response on diffuse IR wireless indoor channels , 1998 .

[8]  K. Smitha,et al.  Estimation of Channel Impulse Response Using Modified Ceiling Bounce Model in Non-Directed Indoor Optical Wireless Systems , 2008, Wirel. Pers. Commun..

[9]  Masao Nakagawa,et al.  Fundamental analysis for visible-light communication system using LED lights , 2004, IEEE Transactions on Consumer Electronics.

[10]  Mohamed M. Abdallah,et al.  Ray tracing based channel modeling for visible light communications , 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

[11]  Edward A. Lee,et al.  Simulation of Multipath Impulse Response for Indoor Wireless Optical Channels , 1993, IEEE J. Sel. Areas Commun..

[12]  Junyi Li,et al.  Visible light communication: opportunities, challenges and the path to market , 2013, IEEE Communications Magazine.

[13]  F. J. Lopez-Hernandez,et al.  DUSTIN: algorithm for calculation of impulse response on IR wireless indoor channels , 1997 .

[14]  Mohsen Kavehrad,et al.  Combined Deterministic and Modified Monte Carlo Method for Calculating Impulse Responses of Indoor Optical Wireless Channels , 2014, Journal of Lightwave Technology.

[15]  John R. Barry,et al.  Indoor Channel Characteristics for Visible Light Communications , 2011, IEEE Commun. Lett..

[16]  Rafael Pérez Jiménez,et al.  Analysis of multipath impulse response of diffuse and quasi-diffuse optical links for IR-WLAN , 1995, Proceedings of INFOCOM'95.

[17]  Changyuan Yu,et al.  Performance of a Precoding MIMO System for Decentralized Multiuser Indoor Visible Light Communications , 2013, IEEE Photonics Journal.

[18]  Murat Uysal,et al.  Channel Modeling and Characterization for Visible Light Communications , 2015, IEEE Photonics Journal.

[19]  Zabih Ghassemlooy,et al.  A MATLAB-based simulation program for indoor visible light communication system , 2010, 2010 7th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 2010).

[20]  H. Hashemi,et al.  Simulation of indoor propagation channel at infrared frequencies in furnished office environments , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[21]  Rafael Perez-Jimenez,et al.  Statistical model for the impulse response on infrared indoor diffuse channels , 1997 .

[22]  Murat Uysal,et al.  Novel channel models for visible light communications , 2015, Photonics West - Optoelectronic Materials and Devices.

[23]  Hyunchae Chun,et al.  Visible light communication using OLEDs: Illumination and channel modeling , 2012, 2012 International Workshop on Optical Wireless Communications (IWOW).

[24]  P. K. Kannan,et al.  Iterative site-based modeling for wireless infrared channels: an analysis and implementation , 2002 .

[25]  Shlomi Arnon,et al.  Multiple Access Resource Allocation in Visible Light Communication Systems , 2014, Journal of Lightwave Technology.

[26]  Joseph M. Kahn,et al.  Modeling of nondirected wireless infrared channels , 1997, IEEE Trans. Commun..

[27]  Thomas D. C. Little,et al.  Impact of lighting requirements on VLC systems , 2013, IEEE Communications Magazine.

[28]  Masao Nakagawa,et al.  Performance evaluation of visible-light wireless communication system using white LED lightings , 2004, Proceedings. ISCC 2004. Ninth International Symposium on Computers And Communications (IEEE Cat. No.04TH8769).