The performance of PPM using neural network and symbol decoding for diffused indoor optical wireless links

S. Rajbhandari; Z. Ghassemlooy; M. Angelova

doi:10.1109/ICTON.2007.4296270

The performance of PPM using neural network and symbol decoding for diffused indoor optical wireless links

S. Rajbhandari^*, Z. Ghassemlooy, M. Angelova

^*Corresponding author for this work

University of Northumbria Newcastle

Research output: Chapter in Book/Published conference output › Conference publication

4 Citations (Scopus)

Abstract

Artificial Neural network (ANN) can be an attractive alternative for adaptive equalization especially while channel is nonlinear or non-stationary. Pulse position modulation (PPM) requires the least average optical power compared to other modulation schemes in line-of-sight links but suffer severely in diffused links. The performance of PPM in a diffused channel can be improved by using different equalization techniques. In this work equalization using ANN is proposed and studied. The ANN equalized PPM shows promising results and its performance is comparable to the traditional equalization techniques. The performance can further be enhanced by using 'soft' decision decoding and the simulation results show a 2 dB gain in signal-to-noise.

Original language	English
Title of host publication	Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007
Pages	161-164
Number of pages	4
DOIs	https://doi.org/10.1109/ICTON.2007.4296270
Publication status	Published - 27 Aug 2007
Event	2007 9th International Conference on Transparent Optical Networks, ICTON 2007 - Rome, Italy Duration: 1 Jul 2007 → 5 Jul 2007

Publication series

Name	Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007
Volume	3

Conference

Conference	2007 9th International Conference on Transparent Optical Networks, ICTON 2007
Country/Territory	Italy
City	Rome
Period	1/07/07 → 5/07/07

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10.1109/ICTON.2007.4296270

https://ieeexplore.ieee.org/document/4296270

Cite this

Rajbhandari, S., Ghassemlooy, Z., & Angelova, M. (2007). The performance of PPM using neural network and symbol decoding for diffused indoor optical wireless links. In Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007 (pp. 161-164). Article 4296270 (Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007; Vol. 3). https://doi.org/10.1109/ICTON.2007.4296270

@inproceedings{275fd5e1a8f94327b720d40519a86187,

title = "The performance of PPM using neural network and symbol decoding for diffused indoor optical wireless links",

abstract = "Artificial Neural network (ANN) can be an attractive alternative for adaptive equalization especially while channel is nonlinear or non-stationary. Pulse position modulation (PPM) requires the least average optical power compared to other modulation schemes in line-of-sight links but suffer severely in diffused links. The performance of PPM in a diffused channel can be improved by using different equalization techniques. In this work equalization using ANN is proposed and studied. The ANN equalized PPM shows promising results and its performance is comparable to the traditional equalization techniques. The performance can further be enhanced by using 'soft' decision decoding and the simulation results show a 2 dB gain in signal-to-noise.",

author = "S. Rajbhandari and Z. Ghassemlooy and M. Angelova",

year = "2007",

month = aug,

day = "27",

doi = "10.1109/ICTON.2007.4296270",

language = "English",

isbn = "142441248X",

series = "Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007",

pages = "161--164",

booktitle = "Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007",

note = "2007 9th International Conference on Transparent Optical Networks, ICTON 2007 ; Conference date: 01-07-2007 Through 05-07-2007",

}

Rajbhandari, S, Ghassemlooy, Z & Angelova, M 2007, The performance of PPM using neural network and symbol decoding for diffused indoor optical wireless links. in Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007., 4296270, Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007, vol. 3, pp. 161-164, 2007 9th International Conference on Transparent Optical Networks, ICTON 2007, Rome, Italy, 1/07/07. https://doi.org/10.1109/ICTON.2007.4296270

The performance of PPM using neural network and symbol decoding for diffused indoor optical wireless links. / Rajbhandari, S.; Ghassemlooy, Z.; Angelova, M.
Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007. 2007. p. 161-164 4296270 (Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007; Vol. 3).

Research output: Chapter in Book/Published conference output › Conference publication

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AB - Artificial Neural network (ANN) can be an attractive alternative for adaptive equalization especially while channel is nonlinear or non-stationary. Pulse position modulation (PPM) requires the least average optical power compared to other modulation schemes in line-of-sight links but suffer severely in diffused links. The performance of PPM in a diffused channel can be improved by using different equalization techniques. In this work equalization using ANN is proposed and studied. The ANN equalized PPM shows promising results and its performance is comparable to the traditional equalization techniques. The performance can further be enhanced by using 'soft' decision decoding and the simulation results show a 2 dB gain in signal-to-noise.

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Rajbhandari S, Ghassemlooy Z, Angelova M. The performance of PPM using neural network and symbol decoding for diffused indoor optical wireless links. In Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007. 2007. p. 161-164. 4296270. (Proceedings of 2007 9th International Conference on Transparent Optical Networks, ICTON 2007). doi: 10.1109/ICTON.2007.4296270

The performance of PPM using neural network and symbol decoding for diffused indoor optical wireless links

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