2020 IEEE International Symposium
on Information Theory
21-26 June 2020 • Los Angeles, California, USA
| Paper ID | I.1.3 | ||
| Paper Title | When does Partial Noisy Feedback Enlarge the Capacity of a Gaussian Broadcast Channel? | ||
| Authors | Aditya Narayan Ravi, Sibi Raj B. Pillai, Indian Institute of Technology Bombay, India; Vinod M. Prabhakaran, Tata Institute of Fundamental Research, Mumbai, India; Michele Wigger, Telecom Paris Tech, France, France | ||
| Session | I.1: Broadcast Channel I | ||
| Presentation | Lecture | ||
| Track | Network Information Theory | ||
| Manuscript | Click here to download the manuscript | ||
| Virtual Presentation | Click here to watch in the Virtual Symposium | ||
| Abstract | Feedback is known to enlarge the capacity region of a Gaussian Broadcast Channel (GBC) with independent noise realizations at the receivers and under an average transmit power constraint. The capacity enlargement may occur even when there is noisy feedback from only one of the two receivers. However, recent results show the existence of a feedback noise threshold, beyond which one-sided feedback from only the stronger receiver is futile in enlarging the capacity region. The current paper presents a tight characterization of the feedback noise threshold, which separates the regimes where feedback from only the stronger receiver enlarges the capacity or leaves it unchanged. The scheme used to prove this result also leads to some interesting observations on noisy feedback from only the weak receiver. | ||
Plan Ahead
2021 IEEE International Symposium on Information Theory
11-16 July 2021 | Melbourne, Victoria, Australia
