Real-time Wideband Software-defined Radio with Python Programmability based on RFSoC

Next-generation wireless networks necessitate large signal bandwidth to support the growing demands of high data rates, which poses significant challenges in the design of real-time radio platforms. We demonstrate SPEAR, a realtime wideband software-defined radio (SDR) utilizing the Xilinx RFSoC ZCU216 evaluation board. SPEAR leverages a customized "Streaming Direct Memory Access (DMA)" IP to address the latency issues associated with DMA control, thereby enabling high bandwidth data streaming in real-time. It also features a Python-based hardware configuration tool and signal processing framework incorporating an OFDM-based Physical layer. We showcase a real-time data link using the direct RF radio architecture between two RFSoC ZCU216 boards, achieving an error vector magnitude (EVM) of 3.2% for 256QAM across a bandwidth of 1.25 GHz.

Authors

Institutions

Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3698855
Primary Topic
Advanced Photonic Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Real-time Wideband Software-defined Radio with Python Programmability based on RFSoC

Tingjun Chen, Zhihui Gao, Cheng Wei
Advanced Photonic Communication Systems
article

Real-time Wideband Software-defined Radio with Python Programmability based on RFSoC

Tingjun Chen, Zhihui Gao, Cheng Wei
article en

Abstract

Next-generation wireless networks necessitate large signal bandwidth to support the growing demands of high data rates, which poses significant challenges in the design of real-time radio platforms. We demonstrate SPEAR, a realtime wideband software-defined radio (SDR) utilizing the Xilinx RFSoC ZCU216 evaluation board. SPEAR leverages a customized "Streaming Direct Memory Access (DMA)" IP to address the latency issues associated with DMA control, thereby enabling high bandwidth data streaming in real-time. It also features a Python-based hardware configuration tool and signal processing framework incorporating an OFDM-based Physical layer. We showcase a real-time data link using the direct RF radio architecture between two RFSoC ZCU216 boards, achieving an error vector magnitude (EVM) of 3.2% for 256QAM across a bandwidth of 1.25 GHz.

Duke University (US)
National Science Foundation, Semiconductor Research Corporation, Defense Advanced Research Projects Agency
Openalex Percentile: Top 80%
Advanced Photonic Communication Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.