NDLI: Optical spatial modulation for indoor wireless communications in presence of inter-symbol interference

Content Provider	IEEE Xplore Digital Library
Author	Vladeanu, C. Lucaciu, R. Mihaescu, A.
Copyright Year	2012
Description	Author affiliation: Faculty of Electronics and Telecomm, University Politehnica of Timisoara, Romania (Lucaciu, R.; Mihaescu, A.) \|\| Telecommunications Department, University Politehnica of Bucharest, Romania (Vladeanu, C.)
Abstract	In this paper, we analyze an indoor wireless communications system using optical spatial modulation (OSM) when is subject to inter-symbol interference (ISI). An array of light emitting diodes (LEDs) is used in transmitter and an array of photo diodes (PDs) is used in receiver. Each group of k information bits selects a unique transmitting LED from the $2^{k}$ total number of available LEDs. In the receiver, an optimal maximum likelihood (ML) detector is used to identify the transmitting LED. A channel model with ISI is introduced and the OSM system performances are tested in presence of additive white Gaussian noise (AWGN). The signal-to-interference-and-noise ratio (SINR) is estimated as function of channel path gains. The bit error rate (BER) is analyzed by simulation as function of SINR for different distances between transmitter and receiver. The simulation results reveal that for SINR values closer to the upper limit, SM receiver performs better than in the only presence of AWGN.
Starting Page	183
Ending Page	186
File Size	834177
Page Count	4
File Format	PDF
ISBN	9781467311779
e-ISBN	9781467311762
DOI	10.1109/ISETC.2012.6408122
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-15
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Bit error rate Interference OSM Light emitting diodes Optical transmitters Indexes ISI Signal to noise ratio Indoor wireless communications
Content Type	Text
Resource Type	Article

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