Dissertation Talk: Real-time Communication Systems For Automation Over Wireless
Presentation: Dissertation Talk: EE | August 3 | 4-5 p.m. | 540AB Cory Hall
Vasuki Narasimha Swamy, UC Berkeley
The density and frequency of interaction between society and technology is increasing and this presents us with opportunities to improve lives, livelihoods and address the inequities in our society holistically. The Internet of Things (IoT) and 5G wireless communication technologies are future technologies that envision to bring us closer to these opportunities. These technologies leverage the ubiquitous sensing and computing capabilities to enable smart devices to perform interesting tasks and to gain knowledge about the environment. These may include futuristic healthcare systems, autonomous automobile platooning and smart energy-efficient cities.
In this talk, we look at designing wireless communication frameworks for interactive applications that require fast and reliable communication. Current applications such as industrial automation that require such ultra-reliable and low-latency communication (URLLC) are presently being supported by wired communication systems and we explore enabling a drop-in wireless replacement. Our wireless communication framework leverages a combination of diversity techniques to achieve fast and reliable communication. We also take an in-depth look at the dynamics of wireless channels in the context of URLLC and question whether some of the modeling assumptions made for cellular communications make sense with respect to URLLC. Finally, we combine the new channel dynamics knowledge with machine learning to build intelligent relay selection strategies; thereby paving the way towards highly interactive applications.