Open Access   Article Go Back

Nurturing Wireless Communication: Coalition of Cognitive Radio with Li-Fi

Ridhima 1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 633-636, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.633636

Online published on Oct 31, 2018

Copyright © Ridhima . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Ridhima, “Nurturing Wireless Communication: Coalition of Cognitive Radio with Li-Fi,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.633-636, 2018.

MLA Style Citation: Ridhima "Nurturing Wireless Communication: Coalition of Cognitive Radio with Li-Fi." International Journal of Computer Sciences and Engineering 6.10 (2018): 633-636.

APA Style Citation: Ridhima, (2018). Nurturing Wireless Communication: Coalition of Cognitive Radio with Li-Fi. International Journal of Computer Sciences and Engineering, 6(10), 633-636.

BibTex Style Citation:
@article{_2018,
author = {Ridhima},
title = {Nurturing Wireless Communication: Coalition of Cognitive Radio with Li-Fi},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {633-636},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3074},
doi = {https://doi.org/10.26438/ijcse/v6i10.633636}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.633636}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3074
TI - Nurturing Wireless Communication: Coalition of Cognitive Radio with Li-Fi
T2 - International Journal of Computer Sciences and Engineering
AU - Ridhima
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 633-636
IS - 10
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
563 514 downloads 277 downloads
  
  
           

Abstract

Evolution of surplus gadgets accessing web facilities has eventually actuated the resource congestion. Several alluring data grabbing techniques are utilized with their respective pros and cons. The paper administers a concept which is based on the integration of the Li-Fi with the Cognitive Radio technology, diversifying the wireless communication with hiking spectrum utilization and vast capacity. The concept adheres to improve the multi-user communication by relying on the use of both the optical as well as the radio frequency spectrums in a communicating network which is more effective instead of using Li-Fi or Cognitive Radio independently.

Key-Words / Index Term

Cognitive Radio (CR), LED (Light Emitting Diode), Light Fidelity (Li-Fi), Visible Light Communication (VLC).

References

[1] J. Mitola and G. Q. Maguire, “Cognitive Radios: Making Software Radios More Personal”, IEEE Pers. Commun., Vol. 6, no. 4, pp. 13–18, 1999.
[2] K. Sharma, A. Rana, and B. Aneja, “A fuzzy-logic based framework for dynamic channel allocation with improved transmission in Cognitive Radio”, International Conference on Signal Processing and Communication (ICSC), Noida, pp. 31-36, 2016.
[3] P. Verma, Dr. J. Shekhar, Preety and Dr. A. Asthana, “Light-Fidelity (Li-Fi): Transmission of Data through Light of Future Technology”, International Journal of Computer Science and Mobile Computing, Vol. 4, Issue. 9, pg. 113-124, 2015.
[4] N.K. Randhawa and A.S. Buttar, “Sensing of Spectrum Holes in Cognitive Radio Networks: A Survey”, International Journal of Computer Sciences and Engineering,Vol. 2(8), pp. 28-34, 2014.
[5] M. Ayyash, “Coexistence of WiFi and LiFi Toward 5G: Concepts, Opportunities, and Challenges”, IEEE Communication Magazine, Vol. 54, pp. 64-71, 2016.
[6] I. Hanif, M. Zeeshan, A. Ahmed, “Traffic Pattern Based Adaptive Spectrum Handoff Strategy for Cognitive Radio Networks”, International Conference on Next Generation Mobile Applications, Security and Technologies, pp. 13-23, 2016.
[7] Y. Wang, S. Liao and J. Chang, “A fuzzy-based dynamic channel allocation scheme in cognitive radio networks”, 2015 8th International Conference on Ubi-Media Computing (UMEDIA), Colombo, pp. 49-54, 2015.
[8] L. Safatly, M. Bkassiny, M. Al-Husseini, and A. El-Hajj, “Cognitive Radio Transceivers: RF, Spectrum Sensing, and Learning Algorithms Review”, International Journal of Antennas and Propagation, Vol. 2014, Article ID 548473, 21 pages, 2014.