Reduce PAPR In Filtered-CPOFDM using Modified SCS Method System

Azlan Yusof; Azlina Idris; Ezmin Abdullah; Wan Azani Mustafa

doi:10.37934/araset.32.3.324333

Authors

Azlan Yusof Wireless Communication Technology Group (WiCOT), School of Electrical Engineering, Universiti Teknologi MARA,40450 Shah Alam Selangor, Malaysia
Azlina Idris Wireless Communication Technology Group (WiCOT), School of Electrical Engineering, Universiti Teknologi MARA,40450 Shah Alam Selangor, Malaysia
Ezmin Abdullah Wireless Communication Technology Group (WiCOT), School of Electrical Engineering, Universiti Teknologi MARA,40450 Shah Alam Selangor, Malaysia
Wan Azani Mustafa Faculty of Electrical Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai ChuChuh, 02100 Padang Besar Perlis, Malaysia

DOI:

https://doi.org/10.37934/araset.32.3.324333

Keywords:

Filtered Cyclic Prefix Orthogonal Frequency Division Multiplexing (F-CPOFDM), Peak to Average Power Ratio (PAPR), Group Codeword Shift (GCS), Selective Codeword Shift (SCS), Median Codeword Shift (MCS)

Abstract

Filtered Cyclic Prefix Orthogonal Frequency Division Multiplexing (F-CPOFDM) is a 5G multicarrier waveform that enables high data rates and spectrum efficiency improvements. The primary drawback of F-CPOFDM is that it has a high peak to average power ratio (PAPR), which is a characteristic of all multicarrier modulation techniques. This paper shows the study of the application on Group Codeword Shift (GCS) approach to reduce the peak to average power ratio (PAPR) in a Filtered- CPOFDM system in this article. Additionally, this paper also compared the results of peak to average power ratio (PAPR) reduction with low complexity in Filtered-CPOFDM using a Group Codeword Shift (GCS) approach, Selective Codeword Shift (SCS), and Conventional CPOFDM. The simulation results indicate that the Group Codeword Shift (GCS) approach reduces peak PAPR by 45.95 percent when compared to conventional Filtered-CPOFDM, 26.13 percent when compared to the Selective Codeword Shift (SCS) method and 22.53 percent when compared to the Median Codeword Shift (MCS) method.