Vol.69, No.1, 2021, pp.575-588, doi:10.32604/cmc.2021.018245
OPEN ACCESS
ARTICLE
A Novel Beamforming Emulating Photonic Nanojets for Wireless Relay Networks
  • Samer Alabed1, Ibrahim Mahariq1,*, Mohammad Salman1, Mustafa Kuzuoglu2
1 College of Engineering and Technology, American University of the Middle East, Kuwait
2 Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, 06800, Turkey
* Corresponding Author: Ibrahim Mahariq. Email:
(This article belongs to this Special Issue: Reinforcement Learning Based solutions for Next-Generation Wireless Networks Coexistence)
Received 01 March 2021; Accepted 02 April 2021; Issue published 04 June 2021
Abstract
In this article, a low-cost electromagnetic structure emulating photonic nanojets is utilized to improve the efficiency of wireless relay networks. The spectral element method, due to its high accuracy, is used to verify the efficiency of the proposed structure by solving the associate field distribution. The application of optimal single-relay selection method shows that full diversity gain with low complexity can be achieved. In this paper, the proposed technique using smart relays combines the aforementioned two methods to attain the benefits of both methods by achieving the highest coding and diversity gain and enhances the overall network performance in terms of bit error rate (BER). Moreover, we analytically prove the advantage of using the proposed technique. In our simulations, it can be shown that the proposed technique outperforms the best known state-of-the-art single relay selection technique. Furthermore, the BER expressions obtained from the theoretical analysis are perfectly matched to those obtained from the conducted simulations.
Keywords
Wireless relay networks; cooperative diversity techniques; relay selection; network beamforming techniques
Cite This Article
S. Alabed, I. Mahariq, M. Salman and M. Kuzuoglu, "A novel beamforming emulating photonic nanojets for wireless relay networks," Computers, Materials & Continua, vol. 69, no.1, pp. 575–588, 2021.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.