Performance Improvement of OFDM Systems by Reducing Papr using SLM-Grasshopper Optimization
Reddi Sridevi1, T. Madhavi2, Sreenivasulu Ummadisetty3

1Reddi Sridevi, Assistant Professor, Department of ECE, Dr. L.B College of Engineering, Visakhapatnam (Andhra Pradesh), India.

2Dr. T. Madhavi, Professor, Department of EECE, GIT, GITAM Deemed to Be University, Visakhapatnam (Andhra Pradesh), India.

3Sreenivasulu Ummadisetty, Assistant Professor, Department of EECE, GIT, GITAM Deemed to Be University, Visakhapatnam (Andhra Pradesh), India.

Manuscript received on 23 November 2019 | Revised Manuscript received on 11 December 2019 | Manuscript Published on 30 December 2019 | PP: 204-208 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10501292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1050.1292S319

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is an emerging technology which is been most commonly used for transmission of data in wireless based systems. The OFDM technique is capable of achieving more speed i.e it has higher data rate transmission which is reliable and efficient. Peak power is the major drawback while transmitting the signal which is termed as PAPR. The signals achieves high peak value while transmitting due to the presence of large subcarriers which are independent in nature. The amplitude of the signal need to be reduced. Many PAPR reductions schemes have been presented in past and the reduction is done to some extents. In this paper , a new optimisation technique i.e grasshopper optimization (GOA) is proposed. The optimization technique is combined with one of the efficient PAPR reduction technique i.e selective mapping technique. The combination of SLM-Grasshopper help in reducing the PAPR as low as possible and is also compared with other techniques like SLM-GA, SLM-FA and SLM-GWO. The experimental results are performed using matlab.

Keywords: ODFM, PAPR, SLM, Grasshopper Algorithm.
Scope of the Article: Cross-Layer Optimization