Details

PDF BIBTEX RIS

Title

A proposed preamble channel estimation scheme for flip FBMC-based indoor VLC systems

Journal title

Opto-Electronics Review

Yearbook

2022

Volume

30

Issue

1

Authors

El-Ganiny, Mohamed Y. ; Khalaf, Ashraf A. M. ; Hussein, Aziza I. ; Hamed, Hesham F. A.

Affiliation

El-Ganiny, Mohamed Y. : Department of Electrical Engineering, Higher Technological Institute, 10th of Ramadan City, Sharqia, Egypt ; Khalaf, Ashraf A. M. : Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia, Egypt ; Hussein, Aziza I. : Electrical and Computer Engineering Department, Effat University, Jeddah, Kingdom of Saudi Arabia ; Hamed, Hesham F. A. : Department of Telecommunications Engineering, Egyptian Russian University, Badr City, Egypt

Keywords

channel estimation ; filter bank multicarrier ; IEEE 802.15.7 standard ; interference approximation method ; visible light communication

Divisions of PAS

Nauki Techniczne

Coverage

e140859

Publisher

Polish Academy of Sciences (under the auspices of the Committee on Electronics and Telecommunication) and Association of Polish Electrical Engineers in cooperation with Military University of Technology

Bibliography

  1. Kumar, S. & Singh, P. Filter bank multicarrier modulation schemes for visible light communication. Pers. Commun. 113, 2709–2722 (2020). https://doi.org/10.1007/s11277-020-07347-6
  2. Wang, J. Y. et al. Performance analysis and improvement for secure vlc with slipt and random terminals. IEEE Access 8, 73645–73658 (2020). https://doi.org/10.1109/ACCESS.2020.2988470
  3. Chen, R. et al. Visible light communication using DC-biased optical filter bank multi-carrier modulation. in 2018 Global LIFI Congress (GLC) 1–6 (2018). https://doi.org/10.23919/GLC.2018.8319094
  4. Al Hammadi, A., Sofotasios, P. C., Muhaidat, S., Al-Qutayri, M. & Elgala, H. Non-orthogonal multiple access for hybrid VLC-RF networks with imperfect channel state information. IEEE Trans. Veh. Technol. 70, 398–411 (2021). https://doi.org/10.1109/TVT.2020.3044837
  5. Tanaka, Y., Komine, T., Haruyama, S. & Nakagawa, M. Indoor visible communication utilizing plural white LEDs as lighting. in 12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) F81–F85 (2001). https://doi.org/10.1109/PIMRC.2001.965300
  6. Mohammed, N. A., Elnabawy, M. M. & Khalaf, A. A. M. PAPR reduction using a combination between precoding andnon-linear companding techniques foraco-ofdm-based VLC systems. Opto-Electron. Rev. 29, 59–70 (2021). https://doi.org/10.24425/opelre.2021.135829
  7. Qasim, A. A., Abdullah, M. F. L. & Talib, R. Adaptive DCO-FBMC in visible light communication. in IOP Conferene: Material Science and Engineering 812018 (2020). https://doi.org/10.1088/1757-899X/767/1/012018
  8. Kumar, S. & Singh, P. Spectral efficient asymmetrically clipped hybrid FBMC for visible light communication. J. Opt. 2021, (2021). https://doi.org/10.1155/2021/8897928
  9. Abouldahab, M. A., Fouad, M. M. & Roshdy, R. A. A proposed preamble based channel estimation method for FBMC in 5G wireless channels. in 35th IEEE National Radio Science Confernce (NRSC) 140–148 (2018). https://doi.org/10.1109/NRSC.2018.8354382
  10. Roshdy, R. A., Aboul-Dahab, M. A. & Fouad, M. M. A modified interference approximation scheme for improving preamble based channel estimation performance in FBMC system. J. Comput. Networks Commun. 12, 19–35 (2020). https://doi.org/10.5121/ijcnc.2020.12102
  11. Sun, J. et al. Channel estimation approach with low pilot overhead in FBMC/OQAM Systems. Commun. Mob. Comput. 2021, 5533399 (2021). https://doi.org/10.1155/2021/5533399
  12. Liu, W., Schwarz, S., Rupp, M. & Jiang, T. Pairs of pilots design for preamble-based channel estimation in OQAM/FBMC systems. IEEE Wirel. Commun. Lett. 10, 488–492 (2021). https://doi.org/10.1109/lwc.2020.3035388
  13. El-Ganiny, M. Y., Klialaf, A. A. M., Hussein, A. I. & Hamed, H. F. A. A preamble based channel estimation methods for FBMC waveform: A comparative study. Procedia Comput. Sci. 182, 63–70 (2020). https://doi.org/10.1016/j.procs.2021.02.009
  14. Kong, D. et al. Preamble-based MMSE channel estimation with low pilot overhead in MIMO-FBMC systems. IEEE Access 8, 148926–148934 (2020). https://doi.org/10.1109/ACCESS.2020.3015809
  15. Hu, S. et al. Training sequence design for efficient channel estimation in MIMO-FBMC systems. IEEE Access 5, 4747–4758 (2017). https://doi.org/10.1109/ACCESS.2017.2688399
  16. Wang, H. Sparse channel estimation for MIMO-FBMC/OQAM wireless communications in smart city applications. IEEE Access 6, 60666–60672 (2018). https://doi.org/10.1109/ACCESS.2018.2875245
  17. Lélé, C., Javaudin, J. P., Legouable, R., Skrzypczak, A. & Siohan, P. Channel estimation methods for preamble-based OFDM/OQAM modulations. Trans. Telecommun. 19, 741–750 (2008). https://doi.org/10.1002/ett.1332
  18. Du, J. & Signell, S. Novel preamble-based channel estimation for OFDM / OQAM systems. in 2009 IEEE International Conference on Communications 1–6 (2009). https://doi.org/10.1109/ICC.2009.5199226
  19. Kofidis, E. & Katselis, D. Improved interference approximation method for preamble-based channel estimation in FBMC/OQAM. in European Signal Processing Conference 1603–1607 (2011). https://doi.org/10.5281/zenodo.42712
  20. Wang, H., Du, W. & Xu, L. Novel preamble design for channel estimation in FBMC/OQAM systems. KSII Trans. Internet Inf. Syst. 10, 3672–3688 (2016). https://doi.org/10.3837/tiis.2016.08.014
  21. Kashani, M. A. & Kavehrad, M. On the performance of single- and multi-carrie modulation schemes for indoor visible light communication systems. in 2014 IEEE Global Communications Conference (GLOBECOM) 2084–2089 (2014). https://doi.org/10.1109/GLOCOM.2014.7037115
  22. Rehman, S. U., Ullah, S., Chong, P. H. J., Yongchareon, S. & Komosny, D. Visible light communication: A system perspective—Overview and challenges. Sensors 19, 1153 (2019). https://doi.org/10.3390/s19051153
  23. Al-Ahmadi, S., Maraqa, O., Uysal, M. & Sait, S. M. Multi-user visible light communications: State-of-the-art and future directions. IEEE Access 6, 70555–70571 (2018). https://doi.org/10.1109/ACCESS.2018.2879885
  24. Shalaby, E. M., Dessouky, M. & Hussin, S. Performance evaluation of UFMC-based VLC systems using a modified SLM technique. Opto-Electron. Rev. 29, 85–90 (2021). https://doi.org/10.24425/opelre.2021.135832
  25. Hussin, S. & Shalaby, E. M. Performance analysis of DFT-S-OFDM waveform for Li-Fi systems. Opto-Electron. Rev. 29, 167–174 (2021). https://doi.org/10.24425/opelre.2021.139753
  26. Qasim, A. A., Mohammedali, H. N., Abdullah, M. F. L., Talib, R. & Dhaam, H. Z. Enhanced Flip-FBMC visible light communication model. J. Electr. Eng. Comput. Sci. 23, 1783–1793 (2021). https://doi.org/10.11591/ijeecs.v23.i3.pp1783-1793
  27. Elgala, H., Mesleh, R., Haas, H. & Pricope, B. OFDM visible light wireless communication based on white LEDs. in IEEE Vehicular Technology Conference (VTC) 2185–2189 (2007) https://doi.org/10.1109/VETECS.2007.451
  28. Yesilkaya, A., Karatalay, O., Ogrenci, A. S. & Panayirci, E. Channel estimation for visible light communications using neural networks. in International Joint Conference on Neural Networks (IJCNN) 320–325 (2016). https://doi.org/10.1109/IJCNN.2016.7727215

Date

27.03.2022

Type

Article

Identifier

DOI: 10.24425/opelre.2022.140859
×