Time-Predictable Software-Defined Architecture with Sdf-Based Compiler Flow for 5g Baseband Processing
Vanchinathan Venkataramani, Bruno Bodin, Aditi Kulkarni Mohite, Tulika Mitra, Li-Shiuan Peh
Abstract
The advent of 5G networks motivates the need for high-performance, low-power, time-predictable hardware that can handle the aggressive real-time latency and throughput requirements of baseband processing. With newer generations like 5G, programmable hardware that can adapt readily to network specification updates becomes a critical requirement. We introduce a software-defined array-based many-core architecture, called SPECTRUM, that couples lightweight predictable hardware components with a compiler flow that orchestrates the on-chip hardware resources. This design, by construction, provides timing guarantees with a programmable architecture. Our architecture and compiler flow are designed to support basestation baseband processing computation represented using deterministic Synchronous Data Flow (SDF) model of computation. SDF is commonly used to represent signal processing applications and fits well with real-time systems requirements. We demonstrate substantial power savings with SPECTRUM compared to existing DSPs while meeting the performance requirements.
BibTeX
@inproceedings{icassp2020_timepredictables,
title = {Time-Predictable Software-Defined Architecture with Sdf-Based Compiler Flow for 5g Baseband Processing},
author = {Vanchinathan Venkataramani and Bruno Bodin and Aditi Kulkarni Mohite and Tulika Mitra and Li-Shiuan Peh},
booktitle = {ICASSP 2020},
year = {2020}
}