Work

Savannah: A Real-time Programmable mmWave Baseband Processing Framework

Year: 2024

Type: conference-paper

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. We demonstrate that Savannah, using a single CPU core and an 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.

Source: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

DOI: 10.1145/3636534.3698843

Authors: Zhenzhou Qi, Chung-Hsuan Tung, Anuj Kalia, Tingjun Chen

Institutions: Duke University, Microsoft (United States)

Language: English

Topic: Millimeter-Wave Propagation and Modeling

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funders: National Science Foundation, International Business Machines Corporation, Defense Advanced Research Projects Agency