Altmetric

On the energy-distortion tradeoff of Gaussian broadcast channels with feedback

File Description SizeFormat 
MKDG_E17.pdfPublished version1.38 MBAdobe PDFView/Open
Title: On the energy-distortion tradeoff of Gaussian broadcast channels with feedback
Authors: Murin, Y
Kaspi, Y
Dabora, R
Gunduz, D
Item Type: Journal Article
Abstract: This work studies the relationship between the energy allocated for transmitting a pair of correlated Gaussian sources over a two-user Gaussian broadcast channel with noiseless channel output feedback (GBCF) and the resulting distortion at the receivers. Our goal is to characterize the minimum transmission energy required for broadcasting a pair of source samples, such that each source can be reconstructed at its respective receiver to within a target distortion, when the source-channel bandwidth ratio is not restricted. This minimum transmission energy is defined as the energy-distortion tradeoff (EDT). We derive a lower bound and three upper bounds on the optimal EDT. For the upper bounds, we analyze the EDT of three transmission schemes: two schemes are based on separate source-channel coding and apply encoding over multiple samples of source pairs, and the third scheme is a joint source-channel coding scheme that applies uncoded linear transmission on a single source-sample pair and is obtained by extending the Ozarow–Leung (OL) scheme. Numerical simulations show that the EDT of the OL-based scheme is close to that of the better of the two separation-based schemes, which makes the OL scheme attractive for energy-efficient, low-latency and low-complexity source transmission over GBCFs.
Issue Date: 24-May-2017
Date of Acceptance: 19-May-2017
URI: http://hdl.handle.net/10044/1/48617
DOI: https://dx.doi.org/10.3390/e19060243
ISSN: 1099-4300
Publisher: MDPI
Journal / Book Title: Entropy
Volume: 19
Issue: 6
Copyright Statement: © 2017 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 677854
Keywords: Science & Technology
Physical Sciences
Physics, Multidisciplinary
Physics
Gaussian broadcast channel with feedback
correlated sources
joint source-channel coding
energy efficiency
energy-distortion tradeoff
CORRELATED SOURCES
SENSOR NETWORKS
MINIMUM ENERGY
SCHEMES
MAC
EFFICIENCY
CAPACITY
REGION
Fluids & Plasmas
01 Mathematical Sciences
02 Physical Sciences
Publication Status: Published
Article Number: 243
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons