pp. 3999-4011
S&M2065 Research Paper of Special Issue https://doi.org/10.18494/SAM.2019.2387 Published: December 6, 2019 Hybrid Peak-to-average-power-ratio Reduction Method Based on Filter Bank Multicarrier in Wireless Sensor Networks [PDF] Song Liu, Yue Li, and Jianqiang Wang (Received March 22, 2019; Accepted November 5, 2019) Keywords: peak-to-average-power ratio (PAPR), filter bank multicarrier (FBMC), clipping and filtering, Vandermonde-like matrix (VLM), wireless sensor networks (WSNs)
Filter bank multicarrier (FBMC) technology is considered a suitable solution for replacing orthogonal frequency division multiplexing (OFDM) technology for the transmission of the fifth-generation wireless system (5G) multicarrier. In this study, we investigate the problem of a high peak-to-average-power ratio (PAPR) of FBMC in wireless sensor networks (WSNs). To solve the problem of imaginary interference in the FBMC system, we use an auxiliary pilot. Then, on the basis of the pilot-assisted FBMC system, a hybrid method of the Vandermonde-like matrix (VLM) and clipping with filtering is applied to reduce the PAPR. The input data is precoded by the VLM of Chebyshev polynomials to reduce the autocorrelation of the input signal. Then, the signal is sent to the clipping and filtering module to suppress the PAPR of the FBMC signal further. The pilot-assisted FBMC was applied to the multipath channel model. The performance was evaluated using the PAPR and bit error rate (BER) curves. The simulation results indicate that the hybrid method can improve the PAPR suppression performance of the FBMC system compared with the precoding method or the clipping and filtering method alone. From the results, we can also see that the hybrid method improves the BER performance.
Corresponding author: Song LiuThis work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Song Liu, Yue Li, and Jianqiang Wang, Hybrid Peak-to-average-power-ratio Reduction Method Based on Filter Bank Multicarrier in Wireless Sensor Networks, Sens. Mater., Vol. 31, No. 12, 2019, p. 3999-4011. |