A Low Complex Modified Grey Wolf Optimization Model for OFDM Peak Power Reduction

Authors

  • R. S. Suriavel Rao Department of Electronics and Communication Engineering Dhanalakshmi Srinivasan College of Engineering, Coimbatore, India
  • R. Menaka Department of Electronics and Communication Engineering Chennai Institute of Technology
  • R. Alexciyaa Winslet Department of Electronics and Communication Engineering Karunya Institute of Technology and Sciences, Coimbatore, India

Keywords:

BER, modified grey wolf optimizer, OFDM, PAPR

Abstract

Orthogonal frequency division multiplexing (OFDM) or multicarrier modulation is an essential signal processing technique in new generation wireless gadgets owing to its potential to support fast and spectrally efficient transmission. One of the major limitations of OFDM systems is the peak-to-average power ratio (PAPR) of transmit data. In this article, a novel meta heuristic algorithm called modified grey wolf optimizer is used to boost the computing performance of subcarrier phase factor search in the undisputed partial transmit sequence method. The proposed modified grey wolf optimizer (mGWO) has a balancing between exploration and exploitation phases while searching for peak power carriers and brings out a nearly optimal performance but with less number of iterations. The objective is to propose low complex computing algorithm without compromising the output quality. The simulation results of proposed mGWO-PTS model assure improvements around 20 to 25 percent from that of the comparative counterparts such as GWO-PTS, PSO-PTS, and etc.

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Author Biographies

R. S. Suriavel Rao, Department of Electronics and Communication Engineering Dhanalakshmi Srinivasan College of Engineering, Coimbatore, India

R. S. Suriavel Rao received Ph.D. degree in Information and Communication Engineering from Anna University Chennai. He received both Bachelor and Master Degrees in Electronics and Communication Engineering from M.S. University and Anna University respectively. He is currently serving in the capacity of Professor cum Research Consultant. He has expertise in ASIC design, Antenna and Communication system design as well. Currently he is working on IoT, AI, Deep/Machine learning techniques, and data science. He has vast quantity of teaching and research experiences. His areas of interest are OFDM optimization, WiMax technology, IoT, SoC Design, 5G Wireless Technology.

R. Menaka, Department of Electronics and Communication Engineering Chennai Institute of Technology

R. Menaka obtained her Ph.D. degree in Information and Communication Engineering from Anna University Chennai. She received Bachelor degree in Electronics and Communication Engineering from Madras University and Masters degree in Applied Electronics from College of Engineering, Guindy (Anna University). She is presently working as Professor in the Department of ECE, Chennai Institute of Technology. She has around 20 years of teaching experience. Her area of Interest includes Mobile Ad hoc Networks, Wireless Networks and Image & Signal Processing.

R. Alexciyaa Winslet, Department of Electronics and Communication Engineering Karunya Institute of Technology and Sciences, Coimbatore, India

R. Alexciyaa Winslet received B.Tech. degree in Electronics and Communication Engineering from Karunya Institute of Technology and Sciences, Coimbatore. She is currently a Post Graduate Student with specialization in VLSI Design at Karunya Institute of Technology and Sciences. Her areas of interest include OFDM system optimization, IC Design using Verilog Coding, and fabrication.

References

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Published

2021-03-08

How to Cite

[1]
R. S. Suriavel Rao, R. Menaka, and R. Alexciyaa Winslet, “A Low Complex Modified Grey Wolf Optimization Model for OFDM Peak Power Reduction”, ACES Journal, vol. 36, no. 3, pp. 259–265, Mar. 2021.

Issue

2021: Vol 36 Iss 3

Section

Articles