CFP last date
16 December 2024
Reseach Article

Directional Antenna Beam Controlling Method using Fuzzy Logic System

by Malathi.b.n
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Number 7
Year of Publication: 2015
Authors: Malathi.b.n
10.5120/ijais15-451343

Malathi.b.n . Directional Antenna Beam Controlling Method using Fuzzy Logic System. International Journal of Applied Information Systems. 8, 7 ( May 2015), 6-9. DOI=10.5120/ijais15-451343

@article{ 10.5120/ijais15-451343,
author = { Malathi.b.n },
title = { Directional Antenna Beam Controlling Method using Fuzzy Logic System },
journal = { International Journal of Applied Information Systems },
issue_date = { May 2015 },
volume = { 8 },
number = { 7 },
month = { May },
year = { 2015 },
issn = { 2249-0868 },
pages = { 6-9 },
numpages = {9},
url = { https://www.ijais.org/archives/volume8/number7/739-1343/ },
doi = { 10.5120/ijais15-451343 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T18:59:18.762168+05:30
%A Malathi.b.n
%T Directional Antenna Beam Controlling Method using Fuzzy Logic System
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 8
%N 7
%P 6-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper is an effective method to search or a quick scan the easy spot for directional antenna beams, and it is used for high speed data transmission in millimeter wave. The present paper proposes a method using the Fuzzy Logic control system for giving maximum data rate transfer using directional antenna[1]. The methods of transmission is using TDD, and it sends the control instructions of the antenna. User can send and to receive a huge scale of data in millimeter wave BW - bandwidth. Antenna signal at initial stage influences a poor performance on communication. The fuzzy logic control system finds the exact reliable spot. The fuzzy logic control system FLC, Rule based interlacing is used the maximum to minimum inference procedure. De-fuzzification is used at the gravity center computation [3].

References
  1. Sang-Hun, Choe (13 May 2013). "Samsung Advances Toward 5G Networks". New York Times (The New York Times Company). Retrieved 29 October 2013.
  2. Steven J. Vaughan-Nichols (21 June 2013). "Gigabit Wi-Fi: 802. 11ac is here: Five things you need to know". zdnet. com. CBS Interactive. Retrieved 29 October 2013.
  3. Antenna steering for an access point based upon probe signals, Ipr Licensing, Inc. , May 16, 2006
  4. Antenna steering and hidden node recognition for an access point, Ipr Licensing, Inc. , Sep 5, 2006
  5. Method for steering a smart antenna for a WLAN using a self-monitored re-scan, Interdigital Technology Corporation, Feb 20, 2007.
  6. Dynamic frequency selective surfaces, Delphi Technologies, Inc. , Mar 13, 2007.
  7. Wireless communication method and apparatus for selecting and reselecting cells based on measurements performed using directional beams and an omni-directional beam pattern, Interdigital Technology Corporation, Jan 29, 2008.
  8. K. -H. Su and C. -C. Kung (2005), Adaptive fuzzy control position for electrical servo drive using total sliding mode technique, IEEE Proc. Electrical Power Appliances Vol. 152, 6.
  9. Li Xin Wang, Design and Analysis of hierarchical fuzzy logic system, IEEE Tans. On Fuzzy Logic systems. vol. 7, no. 5, 617-624
  10. Lab Volt Ltd. , Digital Servo Motor Control, First Edition, Canada, 2010. ISBN 978-2-89640-391-2
  11. A. Seneviratne, Z. G. Zhou R. Hsieh, S-MIP : A seamless handoff technique for mobile IP, in Proc. IEEE-INFOCOM, Apr. 2003.
  12. R. M. Peters, Synthesis of Mechanism for the Stabilization of Radar Antenna, 'Mechanism and Machine Theory', Vol. 13, pp. 369-389, 1978.
  13. Chuen-Chien-Lee, Fuzzy Logic Control Systems: Fuzzy Logic Controller Part-I, llXr Transactions On Systems. Man, Ani, Vol 20. No. 2.
  14. J. T Spooner and K. M Passino, "Stable Adaptive Control Using Fuzzy Systems and Neural Networks," IEEE Transactions on Fuzzy Systems, Vol. 4, No. 3, pp. 339 – 359, August 1996.
  15. R. L. Pheysey, AIM 9L, Simulation-Parameters, Navy Weapons-Center, China-Lake, California NWC, July 1975.
  16. C. C. Lee. , Fuzzy Logic Control Systems- Fuzzy Logic Controller, IEEE Trans. on Systems, Man & Cybernetics, 20 (2), pp. 404- 435, 1990.
  17. S. Chowdhury, G. Taguchi, and Y. Wu, Taguchi's The Quality Engineering Handbook, New York: Wiley, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Controller Directional Antenna beam control