Low PAPR FBMC-OQAM System Based on Data Mapping and DFT Spreading
Artikel i vetenskaplig tidskrift, 2025

Filter bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) is considered as a promising waveform for Internet of Things (IoT) due to its capability to mitigate interference among asynchronous users. However, as a multicarrier technique, the FBMC-OQAM signal also has a high peak-to-average power ratio (PAPR), which is detrimental to low-power transmission. To address this issue, this article proposes a novel discrete Fourier transform (DFT)-spread scheme to exhaustively reduce the PAPR of the FBMC-OQAM signal. In this scheme, the transmitting data symbols are first mapped with a conjugate symmetry rule and then coded by the DFT. Using this method, the preprocessing step in FBMC-OQAM that involves separating the real and imaginary parts of the quadrature amplitude modulation (QAM) symbols can be avoided. Compared with existing DFT-spread FBMC-OQAM schemes, the proposed scheme demonstrates better PAPR performance while maintaining equivalent spectral efficiency. Additionally, the computational complexity of the proposed scheme experiences only a slight increase, thereby preserving a relatively low computational burden. Numerical simulation results validate the effectiveness of the proposed scheme. Furthermore, the effect of the prototype filter on the PAPR is investigated, and a tradeoff exists between the PAPR and out-of-band performance.

peak-to-average power ratio (PAPR)

Discrete Fourier transform (DFT) spreading

offset quadrature amplitude modulation (OQAM)

filter bank multicarrier (FBMC)

Internet of Things (IoT)

Författare

Liming Li

Harbin Institute of Technology

School of Information Science and Engineering, NingboTech University

Jiliang Zhang

Southeast University

Northeastern University China

Liqin Ding

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Yang Wang

Harbin Institute of Technology

Haining Zhang

Nankai University

IEEE Internet of Things Journal

23274662 (eISSN)

Vol. 12 12 22311-22324

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier (SSIF 2025)

Kommunikationssystem

Telekommunikation

Signalbehandling

DOI

10.1109/JIOT.2025.3550843

Mer information

Senast uppdaterat

2025-06-25