Effect of Window Size on PAPR Reduction in 4G LTE Network Using Peak Windowing Algorithm in Presence of Non-linear HPA
Publication Type
Conference Proceeding
Publication Date (Issue Year)
2020
Journal Name
2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP
Abstract
Orthogonal frequency division multiplexing (OFDM) was endorsed in recent digital communication technologies such as 4G-LTE to cope with multipath fading channel, and respond to increasingly high data rate demand. Despite its attractive features, OFDM based systems suffers from High Peak to Average Power Ratio (PAPR) which limits its application to a certain level. In this paper, the peak windowing technique is investigated in details and the effect of window size on PAPR reduction and BER improvement performance is the main analysis concern by taking into consideration system circuitry non-linearity characteristics. The performance of five different peak windowing functions on PAPR reduction performance was analyzed, Individual window function performance for PAPR reduction were evaluated and the window function with the optimum performance over others was selected and used to assess the effect of window size of peak windowing for PAPR reduction in LTE system with non-linear High power Amplifier (HPA). The simulation results and analysis of proposed approach shows that Hann window function of window size ws=8 provide a 2.094dB PAPR reduction from 10.207dB to 8.113dB at 10-2 probability, with BER degradation of 0.0065dB and 0.214dB at 10-1 and 10-2probabilty respectively. A Comparative performance analysis of the proposed algorithm with other allied recent proposed approaches on PAPR reduction such as Gaussian windowing was carried out; a good performance of the proposed method is observed.
Keywords
Degradation, Simulation, Bit error rate, Nonlinear distortion, Peak to average power ratio, Performance analysis, Long Term Evolution, Orthogonal Frequency Division Multiplexing (OFDM), High power Amplifier (HPA)), Peak Windowing
Rsif Scholar Name
Fidele Maniraguha
Thematic Area
ICTs Including Big Data and Artificial Intelligence
Africa Host University (AHU)
University of Rwanda (UR), Rwanda
Recommended Citation
Maniraguha, F., Hanyurwimfura, D., & Nizeyimana, E. (2020). Effect of Window Size on PAPR Reduction in 4G LTE Network Using Peak Windowing Algorithm in Presence of Non-linear HPA. 2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP, 2020, 1128-1133. https://doi.org/10.1109/ICSIP49896.2020.9339272