2025-02-09-中国电信-2025年RISC-V云网融合通信模组物联网应用白皮书_23页_1mb

RISC-V Cloud-Network Converged Communication Module Application Summary

Background and Objectives

• IoT development is accelerated by national policies supporting the "everything intelligent linked" transition, driven by increased connectivity and digital transformation.
• Cloud-network convergence serves as the foundation for intelligent applications, with RISC-V architecture providing an open-source, flexible, and secure base for technological autonomy.
• The white paper introduces cloud-network converged communication modules based on RISC-V, emphasizing their role in enabling scalable and secure IoT solutions while addressing industry-specific needs.
• Key objectives include outlining current advancements, architecture features, practical applications, and future directions to foster digital innovation across various sectors.

Key Developments and Architecture

• RISC-V architecture, an open-source instruction set, supports customization and efficiency in communication chips and modules, promoting domestic technological independence.
• Cloud-network converged modules integrate multiple capabilities, such as intelligent fault diagnosis, load balancing, rapid cloud integration, multilateral network switching, and quantum security features.
• These modules unify network, cloud, and edge intelligence, enabling end-to-cloud synergy and enhancing data security and processing efficiency, with RISC-V ensuring foundational hardware control.

Application Scenarios

• Modules are applied in diverse fields: smart cities (e.g., intelligent gas and energy management); smart finance (e.g., secure mobile payment devices); public security (e.g., video surveillance and predictive analysis); industrial IoT (e.g., energy monitoring); intelligent transportation (e.g., EV tracking); wearable tech (e.g., electronic student IDs); and smart homes (e.g., connected appliances).
• Each scenario leverages RISC-V's flexibility and modules' cloud capabilities to achieve cost-effectiveness, reliable connectivity, and enhanced user experiences.

Future Trends and Recommendations

• Emerging trends include deeper integration with AI and security technologies for advanced automation and safety in applications like smart cities and industrial systems.
• Strategic recommendations involve aligning with national goals for digital sovereignty, fostering collaborations among industry, education, and innovation ecosystems, and building robust supply chains to drive wider adoption and standardization.