Publication

Feedback Increases the Degrees of Freedom of Two Unicast Gaussian Networks

I-Hsiang Wang
2013
Conference Papers

Abstract

In this paper we investigate the degrees of freedom of layered two unicast Gaussian networks with destination-to-source feedback. The feedback model allows the destinations to feedback their received signals to their respective sources perfectly. Based upon the non-feedback degrees-of-freedom result by Shomorony and Avestimehr [1], we show that in general, feedback enlarges the degrees of freedom region for two unicast layered Gaussian networks. This is the first case in literature where feedback can provide a degrees-of-freedom gain in multi-user interference networks.

Official source

https://infoscience.epfl.ch/entities/publication/d14f8569-212c-4551-b1aa-d58baa20b4de

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

I-Hsiang Wang
2013
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/d14f8569-212c-4551-b1aa-d58baa20b4de

About this result

Related concepts (32)

Feedback

Feedback occurs when outputs of a system are routed back as inputs as part of a chain of cause-and-effect that forms a circuit or loop. The system can then be said to feed back into itself. The notion of cause-and-effect has to be handled carefully when applied to feedback systems: Simple causal reasoning about a feedback system is difficult because the first system influences the second and second system influences the first, leading to a circular argument.

Negative feedback

Negative feedback (or balancing feedback) occurs when some function of the output of a system, process, or mechanism is fed back in a manner that tends to reduce the fluctuations in the output, whether caused by changes in the input or by other disturbances. Whereas positive feedback tends to lead to instability via exponential growth, oscillation or chaotic behavior, negative feedback generally promotes stability. Negative feedback tends to promote a settling to equilibrium, and reduces the effects of perturbations.

Positive feedback

Positive feedback (exacerbating feedback, self-reinforcing feedback) is a process that occurs in a feedback loop which exacerbates the effects of a small disturbance. That is, the effects of a perturbation on a system include an increase in the magnitude of the perturbation. That is, A produces more of B which in turn produces more of A. In contrast, a system in which the results of a change act to reduce or counteract it has negative feedback. Both concepts play an important role in science and engineering, including biology, chemistry, and cybernetics.

Related publications (32)

Feedback Increases the Degrees of Freedom of Two Unicast Gaussian Networks

Chat with Graph Search

Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS

Osmosis-driven stiffening of structured hydrogels

Monitoring an Emergent Pathogen at Low Incidence in Wastewater Using qPCR: Mpox in Switzerland