{"title":"Pruned DCT precoding-based FBMC modulation: An SC-FDMA inspired approach","authors":"Ying Wang , Qiang Guo , Jianhong Xiang , Yu Zhong","doi":"10.1016/j.sigpro.2025.109897","DOIUrl":null,"url":null,"abstract":"<div><div>Filter Bank Multi-Carrier modulation based on Offset Quadrature Amplitude Modulation (FBMC-OQAM) provides superior spectral properties than Orthogonal Frequency Division Multiplexing (OFDM). However, the compatibility of FBMC-OQAM with OFDM in many techniques faces great challenges. In this paper, we present a Pruned Discrete Cosine Transform (DCT) Precoding based FBMC (Pruned DCT-p-FBMC) modulation, which inherits the advantages of FBMC-OQAM as well as Single Carrier Frequency Division Multiple Access and realizes the technical compatibility between FBMC and OFDM. Specifically, considering the anti-interference ability of symbols, we first use pruned DCT to spread them into frequency domain, thus reducing the interference between adjacent symbols. Secondly, we calculate the signal-to-interference ratio and the signal-to-interference-to-noise ratio to assess the impact of residual interference on the system. Finally, the Log-Likelihood Ratio is calculated so that Turbo coding in Pruned DCT-p-FBMC is implemented. Additionally, we provide throughput calculations for evaluating the performance of channel coding and link adaptation. Simulation results show that Pruned DCT-p-FBMC exhibits robust MIMO transmission capabilities along with considerable throughput.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"231 ","pages":"Article 109897"},"PeriodicalIF":3.4000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016516842500012X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Filter Bank Multi-Carrier modulation based on Offset Quadrature Amplitude Modulation (FBMC-OQAM) provides superior spectral properties than Orthogonal Frequency Division Multiplexing (OFDM). However, the compatibility of FBMC-OQAM with OFDM in many techniques faces great challenges. In this paper, we present a Pruned Discrete Cosine Transform (DCT) Precoding based FBMC (Pruned DCT-p-FBMC) modulation, which inherits the advantages of FBMC-OQAM as well as Single Carrier Frequency Division Multiple Access and realizes the technical compatibility between FBMC and OFDM. Specifically, considering the anti-interference ability of symbols, we first use pruned DCT to spread them into frequency domain, thus reducing the interference between adjacent symbols. Secondly, we calculate the signal-to-interference ratio and the signal-to-interference-to-noise ratio to assess the impact of residual interference on the system. Finally, the Log-Likelihood Ratio is calculated so that Turbo coding in Pruned DCT-p-FBMC is implemented. Additionally, we provide throughput calculations for evaluating the performance of channel coding and link adaptation. Simulation results show that Pruned DCT-p-FBMC exhibits robust MIMO transmission capabilities along with considerable throughput.
期刊介绍:
Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing.
Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.