Efficient Analytical Calculation of Non-Line-of-Sight Channel Impulse Response in Visible Light Communications

This study provides an analytical method to calculate the non-line-of-sight (NLoS) channel impulse response (CIR) in visible light communication (VLC) systems based on intensity modulation and direct detection (IM/DD). In this method, the NLoS channel is decomposed into a number of components with different propagation categories. These propagation categories are defined according to the number of reflections and the reflective surfaces that the light undergoes. The CIR corresponding to each light propagation category is analysed and the overall NLoS CIR is approximated by the combination of the calculated CIR components in different propagation categories. The proposed method has the major advantage of offering accurate results with very low computational complexity. Typically, a NLoS CIR with a time resolution of 0.1 ns can be generated within a second in MATLAB. Furthermore, the analytical results derived herein could be used as an analytical tool for the VLC channel characterisation study in future research.

[1]  S. Randel,et al.  Broadband Information Broadcasting Using LED-Based Interior Lighting , 2008, Journal of Lightwave Technology.

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

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

[4]  Zabih Ghassemlooy,et al.  Channel Characteristics of Visible Light Communications Within Dynamic Indoor Environment , 2015, Journal of Lightwave Technology.

[5]  H. Haas,et al.  A 3-Gb/s Single-LED OFDM-Based Wireless VLC Link Using a Gallium Nitride $\mu{\rm LED}$ , 2014, IEEE Photonics Technology Letters.

[6]  Joseph M. Kahn,et al.  Experimental characterization of non-directed indoor infrared channels , 1995, IEEE Trans. Commun..

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

[8]  Dominic C. O'Brien,et al.  High data rate multiple input multiple output (MIMO) optical wireless communications using white led lighting , 2009, IEEE Journal on Selected Areas in Communications.

[9]  Harald Haas,et al.  Dynamic Load Balancing With Handover in Hybrid Li-Fi and Wi-Fi Networks , 2015, Journal of Lightwave Technology.

[10]  Joseph M. Kahn,et al.  Modeling of nondirected wireless infrared channels , 1996, Proceedings of ICC/SUPERCOMM '96 - International Conference on Communications.

[11]  U. Bapst,et al.  Wireless in-house data communication via diffuse infrared radiation , 1979 .

[12]  G. Cossu,et al.  1-Gb/s Transmission Over a Phosphorescent White LED by Using Rate-Adaptive Discrete Multitone Modulation , 2012, IEEE Photonics Journal.

[13]  Theodore S. Rappaport,et al.  Indoor Office Wideband Millimeter-Wave Propagation Measurements and Channel Models at 28 and 73 GHz for Ultra-Dense 5G Wireless Networks , 2015, IEEE Access.

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

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

[16]  Harald Haas,et al.  Non-line-of-sight channel impulse response characterisation in visible light communications , 2016, 2016 IEEE International Conference on Communications (ICC).

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

[18]  Svilen Dimitrov,et al.  Principles of LED Light Communications: Towards Networked Li-Fi , 2015 .

[19]  Volker Jungnickel,et al.  A physical model of the wireless infrared communication channel , 2002, IEEE J. Sel. Areas Commun..