Page 307 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

Use Case 4: Integrated AI and Wireless for Sustainable Mobile

Network Evolutions 4.3 - 5G

Organization: Shanghai University
Country: China

Contact Person(s):
Zhiyuan Jiang, jiangzhiyuan@ shu .edu .cn
Yi Shi, yishi1996@ shu .edu .cn
Sheng Zhou, sheng.zhou@ tsinghua .edu .cn

1 Use Case Summary Table

Item Details

Category 5G
The dominance among a few vendors in the mobile networks industry leads
to increased costs and restricts innovation [1]. These closed ecosystems
Problem hinder transparency and coordination efforts, and the lack of open-source
Addressed
designs widens the gap between theoretical advancements and real-world
implementation.

The three modules for solving this problem are Echo for Open-Sourcing
a library for 5G, 4G, GNSS, LoRa, etc, Zoozve for creating an integrated
toolchain for AI and wireless baseband processing (WBP), and Venus for
creating a Multi-Core Dataflow-Driven RISC-V Domain Specific Architec-
ture for Integrated AI and WBP. The project aims to promote open-source
baseband architecture, which encourages innovation and allows more
Key Aspects of companies to enter the market. By integrating AI with wireless baseband
Solution
processing, it accelerates technology iteration and fosters industrial
development. The project reduces reliance on proprietary hardware and
emphasizes open protocols, enabling small and medium enterprises and
innovators to compete in telecommunications. Additionally, the RISC-V
architecture, optimized for AI-WBP synergy, enhances energy efficiency
and promotes sustainable industry practices.
Technology Wireless Baseband Processing, RISC-V, Wireless Communication, RAN
Keywords (Radio Access Network), Chip Architecture.
Data Availability Not applicable

Metadata (Type of Not applicable
Data)

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