A Novel HABF Technique for 5G in VANET

Authors

  • K. Suresh Kumar Reddy Department of Computer Science and Engineering, Annamalai University, Tamil Nadu, India
  • V. Tamizhazhagan Department of Information Technology, Annamalai University, Tamil Nadu, India
  • V. Senthil Murugan Department of Computer Science and Engineering, Sir Vishveshwaraiah Institute of Science & Technology, Andhra Pradesh, India
  • D. Rajaveerappa Department of Electronics and Communication Engineering, Arba Minch University, Arba Minch, Ethiopia

DOI:

https://doi.org/10.51983/ajcst-2018.7.S1.1815

Keywords:

AOA, MUSIC, MSE, LMS, 5G, RSS, ULA, ABF, DBF, LOS, HBF

Abstract

VANET is the standout amongst the most rising Technology in current situation. Step by step street mishaps are rising. So as to keep mind these mishaps knowledge VANET came into picture. Yet, still greater upgrade is required to stop mishaps for that discovering area of Vehicle is vital thing. To discover the area of a vehicle in VANET we take the assistance of cell organizes. Still with 1G, 2G, 3G, 4G there are a few issues like blurring, Handoff, and so forth.., .To stay away from mishaps in VANET, finding careful area of vehicle and getting speedy reaction is imperative. This can be conceivable with development innovation 5G. Thus, to locate the correct area of vehicle in VANET, we executed a novel strategy utilizing AOA-MUSIC (Angle of Arrival – for Multiple Signal Classification), Godara, and LMS (Least Mean Square) Algorithms and this is an ideal system among straightforward and complex methods. We have planned and executed the proposed technique utilizing MATLAB reproduction and results demonstrate that our strategy gives progressively exact estimations of area of versatile vehicles, and exact scratch-off of obstruction signals contrasted with other existing strategies.

References

L. Godara, “Application of Antenna Arrays to Mobile Communications, Part II: Beam-Forming and Direction-of-Arrival Considerations,” Proceedings of the IEEE, vol. 85, no. 8, pp. 1195–1245, Aug. 1997.

D. Johnson, “The Application of Spectral Estimation Methods to Bearing Estimation Problems,” Proceedings of the IEEE, vol. 70, no. 9, pp. 1018–1028, Sept. 1982.

H. Van Trees, “Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory,” Wiley Inter Science, New York, 2002.

T.J. Shan, M. Wax, and T. Kailath, “Spatial Smoothing for Direction-of-Arrival Estimation of Coherent Signals,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP.33, no. 4, pp. 806–811, August 1985.

G. Minasyan, “Application of High Resolution Methods to Underwater Data Processing,” Ph.D. Dissertation, N.N. Andreyev Acoustics Institute, Moscow, Oct. 1994 (In Russian).

R. Schmidt, “Multiple Emitter Location and Signal Parameter Estimation,” IEEE Transactions on Antenna. Propagation, vol. AP.34, no. 2, pp. 276–280, March 1986.

S. Applebaum, “Adaptive Arrays,” Syracuse University Research Corporation, Rep. SPL TR66-1, August 1966.

B. Widrow, P. Mantey, L. Griffiths, et al., “Adaptive Antenna Systems,” Proceedings of the IEEE, vol. 55, Dec. 1967.

W. Gabriel, “Adaptive Processing Antenna Systems,” IEEE Antenna and Propagation Newsletter, pp. 5–11, Oct. 1983.

B. Agee, “The Least-Squares CMA: A New Technique for Rapid Correction of Constant Modulus Signals,” IEEE International Conference on ICASSP ’86, vol. 11, pp. 953–956, April 1986.

H. Sorenson, “Least-Squares Estimation: From Gauss to Kalman,” IEEE Spectrum, vol. 7, pp. 63–68, July 1970.

R. Monzingo and T. Miller, “Introduction to Adaptive Arrays,” Wiley Interscience, John Wiley & Sons, New York, 1980.

J. Liberti and T. Rappaport, “Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications,” Prentice Hall, New York, 1999.

D. Rajaveerappa and Fituri H. Belgassem, “A Two Ray Propagation Model for Finding Mobile Location Over Microcellular Environment,” International Conference on Computer and Communication Technology 2010 (ICCCT2010), (IEEE Explore) IEEE Computer Society, MNNIT, Allahabad, India, Sept., 2010.

D. Rajaveerappa and K. Siddappa Naidu, “Diffraction Propagation Model for Finding Mobile Location Over Rough Surface Adhoc Microcellular Environment,” International Conference on Smart Technologies for Materials, Communication, Controls, Computing & Energy 2011 (ICST2011), VELTECH University, Chennai, India, Jan., 2011.

K. Suresh Kumar Reddy, D. Rajaveerappa, “Design and Development of an Efficient Location Based Bandwidth Allocation Method for Wireless Mobile Networks,” International Journal of Control Theory and Applications (ISSN: 0974-5572) (Scopus), pp. 141-151, vol. 10, no. 13, April 2017.

D. Rajaveerappa and M. Sreenivasan, “Design and Development of a Hybrid SDMA/CDMA MAC Protocol for Wireless Mobile Computing Networks,” The Sixth International Conference/Exhibition on High Performance Computing in Asia-Pacific Region (HPC ASIA 2002), pp. 561-562, vol. 2, Dec., 2002.

D. Rajaveerappa and Abdelsalam Almarimi, “RSA/SHIFT Secured IFFT/FFT Based OFDM Wireless System,” The Fifth International Conference on Information Assurance and Security (IAS2009), (IEEE Explore) IEEE Computer Society, Xi’an, China, pp. 208-211, vol. 2, August 2009.

Downloads

Published

13-10-2018

How to Cite

Reddy, K. S. K., Tamizhazhagan, V., Murugan, V. S. ., & Rajaveerappa, D. (2018). A Novel HABF Technique for 5G in VANET. Asian Journal of Computer Science and Technology, 7(S1), 5–10. https://doi.org/10.51983/ajcst-2018.7.S1.1815

Issue

Vol. 7 No. S1 (2018): Special Issue November 2018

Section

Articles

License

Copyright (c) 2018 The Research Publication

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.