Performance Analysis of Indoor Diffuse VLC MIMO Channels Using Angular Diversity Detectors

We consider specular and diffuse reflection models for indoor visible light communications using a mobile receiver with angular diversity detectors in multiple input multiple output (MIMO) channels. We aim to improve the MIMO throughput compared to vertically oriented detectors by exploiting multipath reflections from different surfaces in the room. We then evaluate data throughput across multiple locations in the small room by using repetition coding, spatial multiplexing, and spatial modulation approaches. In spatial modulation, we also propose a novel approach called adaptive spatial modulation. This makes use of channel matrix rank information to decide which TX/RX setup to be used, and is developed to cope with rank deficient channels. In a scenario, where the receiver is moving, channel gains are weak in some locations due to the lack of line of sight (LOS) propagation between transmitters and receivers. This effect is mitigated by employing adaptive modulation and coding together with per antenna rate control. We then compare the throughput for LOS only channels against LOS with specular or diffuse reflection conditions, for both vertical and angular oriented receivers. The results show that exploiting specular and diffuse reflections provide significant improvements in link performance.

[1]  De-qiang Ding,et al.  A new indoor VLC channel model based on reflection , 2010 .

[2]  A.F. Molisch,et al.  MIMO systems with antenna selection , 2004, IEEE Microwave Magazine.

[3]  Jeffrey B. Carruthers,et al.  Wireless Infrared Communications , 2003 .

[4]  Harald Haas,et al.  Coded spatial modulation applied to optical wireless communications in indoor environments , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[5]  Lajos Hanzo,et al.  Antenna Selection in Spatial Modulation Systems , 2013, IEEE Communications Letters.

[6]  Harald Haas,et al.  Bit Error Probability of SM-MIMO Over Generalized Fading Channels , 2012, IEEE Transactions on Vehicular Technology.

[7]  Dominic O'Brien Multi-input multi-output (MIMO) indoor optical wireless communications , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[8]  Yao-Wen Chang,et al.  Design of an Omnidirectional Multibeam Transmitter for High-Speed Indoor Wireless Communications , 2010, EURASIP J. Wirel. Commun. Netw..

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

[10]  J. Armstrong,et al.  Analysis of an Optical Wireless Receiver Using a Hemispherical Lens With Application in MIMO Visible Light Communications , 2013, Journal of Lightwave Technology.

[11]  Harald Haas,et al.  Improved indoor VLC MIMO channel capacity using mobile receiver with angular diversity detectors , 2014, 2014 IEEE Global Communications Conference.

[12]  Chang Wook Ahn,et al.  Spatial Modulation - A New Low Complexity Spectral Efficiency Enhancing Technique , 2006, 2006 First International Conference on Communications and Networking in China.

[13]  Yue Xiao,et al.  Adaptive Spatial Modulation for Wireless MIMO Transmission Systems , 2011, IEEE Communications Letters.

[14]  Lajos Hanzo,et al.  Spatial Modulation for Generalized MIMO: Challenges, Opportunities, and Implementation , 2014, Proceedings of the IEEE.

[15]  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.

[16]  Masao Nakagawa,et al.  Indoor Visible Light Data Transmission System Utilizing White LED Lights , 2003 .

[17]  Harald Haas,et al.  Optical Spatial Modulation , 2011, IEEE/OSA Journal of Optical Communications and Networking.

[18]  Harald Haas,et al.  Indoor MIMO Optical Wireless Communication Using Spatial Modulation , 2010, 2010 IEEE International Conference on Communications.

[19]  Asst . Prof,et al.  Space-Time Block Coded Spatial Modulation , 2012 .

[20]  Yue Xiao,et al.  Power Scaling for Spatial Modulation with Limited Feedback , 2013 .

[21]  Nan Chi,et al.  Demonstration of High-Speed 2 × 2 Non-Imaging MIMO Nyquist Single Carrier Visible Light Communication With Frequency Domain Equalization , 2014, Journal of Lightwave Technology.

[22]  Harald Haas,et al.  Study, analysis and application of optical OFDM, single carrier (SC) and MIMO in intensity modulation direct detection (IM/DD) , 2013 .

[23]  Lei Li,et al.  Link Adaptation for Spatial Modulation With Limited Feedback , 2012, IEEE Transactions on Vehicular Technology.

[24]  Aria Nosratinia,et al.  Antenna selection in MIMO systems , 2004, IEEE Communications Magazine.

[25]  Thomas Q. Wang,et al.  Prism array-based receiver with application in MIMO indoor optical wireless communications , 2014, 2014 16th International Conference on Transparent Optical Networks (ICTON).

[26]  Y.-P. Eric Wang,et al.  Per-antenna-rate-control (PARC) in frequency selective fading with SIC-GRAKE receiver , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[27]  K D Dambul,et al.  Indoor Optical Wireless MIMO System With an Imaging Receiver , 2011, IEEE Photonics Technology Letters.

[28]  De-qiang Ding丁德强,et al.  A new indoor VLC channel model based on reflection , 2010 .

[29]  Harald Haas,et al.  Performance Comparison of MIMO Techniques for Optical Wireless Communications in Indoor Environments , 2013, IEEE Transactions on Communications.

[30]  Harald Haas,et al.  On Transmit Diversity for Spatial Modulation MIMO: Impact of Spatial Constellation Diagram and Shaping Filters at the Transmitter , 2013, IEEE Transactions on Vehicular Technology.

[31]  Jean Armstrong,et al.  Comparison of Asymmetrically Clipped Optical OFDM and DC-Biased Optical OFDM in AWGN , 2008, IEEE Communications Letters.