학술논문

Programmable Dataflow Accelerators: A 5G OFDM Modulation/Demodulation Case Study
Document Type
Conference
Source
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2020 - 2020 IEEE International Conference on. :1728-1732 May, 2020
Subject
Signal Processing and Analysis
5G mobile communication
OFDM
Process control
Throughput
Real-time systems
Standards
Field programmable gate arrays
Field Programmable Gate Array (FPGA)
Orthogonal Frequency-Division Multiplexing (OFDM)
Fast Fourier Transform (FFT)
Language
ISSN
2379-190X
Abstract
Via OFDM technology, FFT and Inverse FFT (IFFT) operators enable the latest 5G radio standards. In these latests standards, the behaviour of FFT and IFFT needs to be flexible, supporting sub-carrier spacings from 15kHz to 480kHz and point sizes of up to 4096 point. An FFT or IFFT accelerator for 5G can take any configuration inside this spectrum both at design time, or potentially at run-time, under the control of a system control plane. This necessitates accelerators which combine high levels of flexibility and performance. This paper describes an FFT accelerator for such a context. Specifically, a novel data-driven programmable softcore processor is presented which enables run-time variable workloads and respond to data as provided by control processors in an MPSoC operating architecture. It is the first such accelerator to enable real-time IFFT/FFT for 5G, providing up to 3.89 times greater data rate than comparable accelerators.