Optimisation of Lambertian order for indoor non-directed optical wireless communication

This paper studies the optimised Lambertian order (OLO) of light-emitting diodes (LEDs) for an indoor non-directed line of sight optical wireless communication (NLOS-OWC) systems. We firstly derive an expression of the OLO from a conventional Lambertian LED model, Then, we analyse the indoor multi-cell NLOS-OWC channel characteristics including optical power distribution and multipath time dispersion for two cases of one-cell and four-cell configurations. Furthermore, we estimate the transmission bandwidth by simulating the channel frequency response. Numerical results show that, by using OLO a significant improvement of the transmission bandwidth can be achieved for in indoor NLOS-OWC systems, in particular, for multi-cell configurations.

[1]  Z. Ghassemlooy.  Indoor Optical Wireless Communication Systems - Part I: Review , 2003 .

[2]  R. Green,et al.  Recent Developments in Indoor Optical Wireless Systems , 2011 .

[3]  N. Hayasaka,et al.  Channel modeling of nondirected wireless infrared indoor diffuse link , 2007 .

[4]  Gareth Parry,et al.  Optical hotspots speed up wireless communication , 2007 .

[5]  Joseph M. Kahn,et al.  Angle diversity for nondirected wireless infrared communication , 2000, IEEE Trans. Commun..

[6]  Prasanna Kannan,et al.  Propagation modelling for indoor optical wireless communications using fast multi-receiver channel estimation , 2003 .

[7]  Z. Ghassemlooy,et al.  Channel characteristics analysis of diffuse indoor cellular optical wireless communication systems , 2011, 2011 Asia Communications and Photonics Conference and Exhibition (ACP).

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

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

[10]  Joseph M. Kahn,et al.  Angle diversity for nondirected wireless infrared communication , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[11]  Matthew D. Higgins,et al.  Recent developments in indoor optical wireless [Optical wireless communications] , 2008, IET Commun..

[12]  Matthew D. Higgins,et al.  Multi-user indoor optical wireless communication system channel control using a genetic algorithm , 2011, IET Commun..

[13]  Harald Haas,et al.  Indoor optical wireless communication: potential and state-of-the-art , 2011, IEEE Communications Magazine.

[14]  U. Bapst,et al.  Wireless in-house data communication via diffuse infrared radiation , 1979, Proceedings of the IEEE.

[15]  Changyuan Yu,et al.  Performance of a novel LED lamp arrangement to reduce SNR fluctuation for multi-user visible light communication systems. , 2012, Optics express.

[16]  Z. Ghassemlooy,et al.  Power distribution and Q-factor analysis of diffuse cellular indoor visible light communication systems , 2011, 2011 16th European Conference on Networks and Optical Communications.

[17]  Yuefeng Ji,et al.  Evolutionary Algorithm Based Power Coverage Optimization for Visible Light Communications , 2012, IEEE Communications Letters.

[18]  Xia Li,et al.  On the Capacity of Intensity-Modulated Direct-Detection Systems and the Information Rate of ACO-OFDM for Indoor Optical Wireless Applications , 2012, IEEE Transactions on Communications.

[19]  Jeffrey B. Carruthers,et al.  Statistical impulse response models for indoor optical wireless channels , 2005, Int. J. Commun. Syst..

[20]  Jeffrey B. Carruthers,et al.  Spotlighting for visible light communications and illumination , 2010, 2010 IEEE Globecom Workshops.

[21]  Jeffrey B. Carruthers,et al.  Wireless infrared communications , 2003, Proc. IEEE.