From revolutionizing industries to reshaping our daily routines, there is no denying the profound impact of Artificial Intelligence (AI), making it one of the most disruptive technologies on the horizon. Thanks to the recent surge in media attention surrounding ChatGPT, the momentum for cutting-edge AI research is reaching unprecedented heights, propelling us towards innovations that can open new possibilities. Our mission with AI is to responsibly bring its benefits to more people around the world, elevate everyday mobile experiences, and enable new efficiencies for a wide range of consumer, enterprise and industrial applications.
That’s why we believe the future of AI is hybrid. AI computation is split where and when appropriate, to provide enhanced experiences and ensure efficient use of resources.
To realize this vision, not only do we need to foster AI advances through cutting-edge research but also drive the continued wireless technology evolution. Wireless and AI are two synergistic ingredients that will fuel future innovations.
AI benefits the end-to-end wireless system
Today, 5G is propelling the rapid proliferation of intelligent devices and services, with more than 1.5B connections globally1. The rise of AI not only transforms our mobile experiences (e.g., improved camera quality, predictive texting), but also brings a unique opportunity to revolutionize the future of wireless communications.
AI’s immense potential can be harnessed to solve complex challenges in wireless system design. A testament to this is our Snapdragon Modem-RF platforms; now for two generations, we have adopted AI to enhance modem-RF system performance.
AI’s role in wireless will continue to expand. For instance, it can help optimize system energy saving, network load balancing and device mobility management. In fact, AI will touch every part of the end-to-end wireless system design. Here is a brief summary of AI’s role in each key part of the system.
Optimized distributed clouds: AI can enable fully autonomous networks, make predictive and preventive operational optimizations on a continuous basis, and improve efficiency by reducing network loading.
Intelligent disaggregated network: AI powers the radio access network (RAN) intelligent controller, which can more effectively manage interference, schedule transmission, and facilitate coordinate multipoint (CoMP) operations.
AI-enabled air interface design: AI is fundamentally transforming the design and evolution of the air interface (i.e., waveform, coding), bringing new capabilities like dynamic channel adaptation, and more.
Smart edge devices: AI can optimize device experiences with more efficient beam management and channel feedback computation, as well as enhanced capabilities like positioning and RF sensing.
Read more:
Wireless AI: Igniting the 5G Advanced technology revolution
To scale AI efficiently, it’s imperative for AI processing to be intelligently distributed between the cloud and edge devices.
