Fri, 11-Feb-2022 / 2:00pm / https://stanford.zoom.us/j/92716427348
Shannon considered the point to point channel with feedback in 1956 and showed that feedback does not increase the capacity of the channel. Since then it has been shown that (noiseless) feedback can provide better error exponents and simplify coding/decoding. Moreover, feedback has indeed been shown to increase the capacity of multi user channels such as MAC. However, very little is known for channels with noisy feedback, primarily because it is a problem of decentralized control without any common information, which is vastly a challenging and an unknown territory. In this talk, we will start with a point to point channel with (passive) noisy feedback and present a new idea and consequently a new mathematical framework to study this channel. Based on this framework, we will study various multi user Gaussian channels with active noisy feedback, such as point to point channel, two way channel, MAC, broadcast, relay, MIMO, and interference channel, where there is hardly any theoretical framework, if any at all, to study these channels so far.
Deepanshu is a research scientist in the Department of Electrical and Computer Engineering (ECE) at Northwestern University. He received his PhD from University of Michigan, Ann Arbor in EE:Systems in 2016, and was a postdoc at UW-Madison and UT Austin. His current research interests are game theory, multi-agent decision making, and feedback communication. Before that, he received his B.Tech degree in electronics and communication engineering from IIT Guwahati in 2009.
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