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GTC ON-DEMAND

AI & Deep Learning Research
Presentation
Media
Designing Wireless Systems with Deep Learning - An Autoencoder-Based Approach to PHY Layer Design
Abstract:
The field of wireless engineering is on the cusp of a revolution, driven by deep learning, that will define the next paradigm in wireless system design. While wireless communications technology has advanced considerably since its invention in the 1890s, the fundamental design methodology has remained unchanged throughout its history - expert engineers hand-designing radio systems for specific applications. Deep learning enables a new, radically different approach, where systems are learned from wireless channel data. As the world becomes more connected and the Internet of Things becomes a reality, it is difficult to overstate the enormity of the impact to both commercial and military systems. This talk will provide a high-level overview of deep learning applied to wireless communications, discuss the current state of the technology and research, and present a vision for the future of wireless engineering.
 
Topics:
AI & Deep Learning Research, 5G & Edge
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8791
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