Publication Type:

Conference Paper

Source:

Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017, Institute of Electrical and Electronics Engineers Inc., Volume 2018-January, p.1794-1798 (2018)

ISBN:

9781509044412

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046376269&doi=10.1109%2fWiSPNET.2017.8300070&partnerID=40&md5=a677815640dbc1aed8cb17cb84b11f1e

Keywords:

Bit error rate, Bit error rate (BER) performance, Codes (symbols), error statistics, Light, Light emitting diode (LED), Low signal-to-noise ratio, MIMO systems, Modulation, Multi user interfaces, Optical wireless communications, Repetition coding, Signal to noise ratio, Spatial modulations, User interfaces, Visible light communication, Visible light communications (VLC), Wireless telecommunication systems

Abstract:

<p>In this paper, we analyzed different transmission techniques of multi-user visible light communication (VLC) system. Block diagonalization technique is used to avoid multiuse interference (MUI) in the transmitter. In addition, repetition coding (RC) and spatial modulation (SM) transmission techniques are used in this research work. We have analyzed the bit error rate (BER) performance for both of these transmission techniques. Furthermore, the BER performance with respect to light emitting diode (LED) i.e., the VLC emitter power is also considered. The simulation results show that the SM offers better performance especially at low signal to noise ratio (SNR). © 2017 IEEE.</p>

Notes:

cited By 0; Conference of 2nd IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017 ; Conference Date: 22 March 2017 Through 24 March 2017; Conference Code:134757

Cite this Research Publication

M. K. Jha, Dr. Navin Kumar, and Lakshmi, Y. V. S., “Performance analysis of transmission techniques for multi-user optical MIMO pre-coding for indoor visible light communication”, in Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017, 2018, vol. 2018-January, pp. 1794-1798.