Frequency-Domain Signal Processing for Spectrally-Enhanced CP-OFDM Waveforms in 5G New Radio
Juha Yli-Kaakinen, AlaaEddin Loulou, Toni Levanen, Kari Pajukoski,, Arto Palin, Markku Renfors, Mikko Valkama

TL;DR
This paper introduces new frequency-domain processing schemes for spectrally-enhanced CP-OFDM in 5G NR, enabling better alignment, reduced complexity, and improved performance in advanced transmission scenarios.
Contribution
It proposes dynamic overlap adjustment and CP extrapolation techniques for FC processing, addressing previous limitations and enabling efficient, flexible OFDM waveform processing in 5G NR.
Findings
Reduced processing complexity and latency.
Enhanced spectral shaping and symbol alignment.
Improved radio-link performance with new schemes.
Abstract
Orthogonal frequency-division multiplexing (OFDM) has been selected as the basis for the fifth-generation new radio (5G-NR) waveform developments. However, effective signal processing tools are needed for enhancing the OFDM spectrum in various advanced transmission scenarios. In earlier work, we have shown that fast-convolution (FC) processing is a very flexible and efficient tool for filtered-OFDM signal generation and receiver-side subband filtering, e.g., for the mixed-numerology scenarios of the 5G-NR. FC filtering approximates linear convolution through effective fast Fourier transform (FFT)-based circular convolutions using partly overlapping processing blocks. However, with the continuous overlap-and-save and overlap-and-add processing models with fixed block-size and fixed overlap, the FC-processing blocks cannot be aligned with all OFDM symbols of a transmission frame.…
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Taxonomy
MethodsConvolution
