Demo: Savannah: A Real‑time Programmable mmWave Baseband Processing Framework

Zhenzhou (Tom) Qi, Chung-Hsuan Tung, Anuj Kalia, Tingjun Chen, * Equal contribution
October, 2024

Abstract

5G new radio (NR) frequency range 2 (FR2) in the millimeter-wave (mmWave) band has a much shorter baseband processing deadline compared to that in the sub-7 GHz FR1 band. This tight deadline requires an efficient real-time system for baseband processing using minimal computational resources. We demonstrate Savannah, a software framework for efficient mmWave baseband processing using minimal and heterogeneous computing resources, including CPU and eASIC. Savannah vectorizes matrix operations and memory access patterns in multi-input multi-output (MIMO) arithmetic, offloads low-density parity-check (LDPC) coding to an eASIC, and enables single-core operation. In this demo, we show that Savannah, using a single CPU core and the eASIC, can support a 2×2 MIMO link with 100 MHz bandwidth under full uplink traffic load, yielding a data rate of up to 487 Mbps.

Type
Conference paper
Publication
In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking(MobiCom) Demo
Zhenzhou (Tom) Qi
Zhenzhou (Tom) Qi
Ph.D. Student at Duke University

My research interests include Next-G Wireless Communication Systems and IoT.