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Generalized Fast-Convolution-Based Filtered-OFDM: Techniques and Application to 5G New Radio

Juha Yli‐Kaakinen, Toni Levanen, Arto Palin, Markku Renfors, Mikko Valkama

2020IEEE Transactions on Signal Processing30 citationsDOIOpen Access PDF

Abstract

This article proposes a generalized model and methods for fast-convolution (FC)-based waveform generation and processing with specific applications to fifth generation new radio (5G-NR). Following the progress of 5G-NR standardization in 3rd generation partnership project (3GPP), the main focus is on subband filtered cyclic prefix (CP) orthogonal frequency-division multiplexing (OFDM) processing with specific emphasis on spectrally well localized transmitter processing. Subband filtering is able to suppress the interference leakage between adjacent subbands, thus supporting different numerologies for so-called bandwidth parts as well as asynchronous multiple access. The proposed generalized FC scheme effectively combines overlapped block processing with time- and frequency-domain windowing to provide highly selective subband filtering with very low intrinsic interference level. Jointly optimized multi-window designs with different allocation sizes and design parameters are compared in terms of interference levels and implementation complexity. The proposed methods are shown to clearly outperform the existing state-of-the-art windowing and filtering-based methods.

Topics & Concepts

Cyclic prefixOrthogonal frequency-division multiplexingComputer scienceElectronic engineeringTransmitterFilter bankAsynchronous communicationInterference (communication)AlgorithmMultiplexingSpectral leakageConvolution (computer science)Bandwidth (computing)Frequency-division multiplexingSignal processingFast Fourier transformChannel (broadcasting)TelecommunicationsDigital signal processingComputer hardwareEngineeringArtificial intelligenceArtificial neural networkPAPR reduction in OFDMAdvanced Wireless Communication TechniquesPower Line Communications and Noise
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