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A scenario involving a source, a channel, and a destination, where the destination is interested in {\em both} reliably reconstructing the message transmitted by the source and estimating with a fidelity criterion the state of the channel,…

信息论 · 计算机科学 2011-08-30 Wenyi Zhang , Satish Vedantam , Urbashi Mitra

The optimal power allocation that maximizes the secrecy capacity of block fading Gaussian (BF-Gaussian) networks with causal channel state information (CSI), M-block delay tolerance and a frame based power constraint is examined. In…

信息论 · 计算机科学 2014-01-28 Arsenia Chorti , Katerina Papadaki , H. Vincent Poor

We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements from an underlying random process, code and transmit those…

信息论 · 计算机科学 2007-07-13 Nan Liu , Sennur Ulukus

Due to stringent constraints on resources, it may be infeasible to acquire the current channel state information at the transmitter in energy harvesting communication systems. In this paper, we optimize an energy harvesting transmitter,…

信息论 · 计算机科学 2017-04-17 Rajshekhar Vishweshwar Bhat , Mehul Motani , Teng Joon Lim

It has been shown lately the optimality of uncoded transmission in estimating Gaussian sources over homogeneous/symmetric Gaussian multiple access channels (MAC) using multiple sensors. It remains, however, unclear whether it still holds…

信息论 · 计算机科学 2007-09-27 Shuangqing Wei , Rajgopal Kannan , Sitharama Iyengar , Nageswara S. Rao

Traditionally, the capacity region of a coherent fading multiple access channel (MAC) is analyzed in two popular contexts. In the first, a centralized system with full channel state information at the transmitters (CSIT) is assumed, and the…

信息论 · 计算机科学 2014-09-17 Sreejith Sreekumar , Bikash K. Dey , Sibi Raj B. Pillai

We consider the joint source-channel coding problem of sending a Gaussian source on a K-user Gaussian broadcast channel with bandwidth mismatch. A new outer bound to the achievable distortion region is derived using the technique of…

信息论 · 计算机科学 2010-11-22 Chao Tian , Suhas Diggavi , Shlomo Shamai

We provide a complete characterization of the achievable distortion region for the problem of sending a bivariate Gaussian source over bandwidth-matched Gaussian broadcast channels, where each receiver is interested in only one component of…

信息论 · 计算机科学 2010-06-04 Chao Tian , Suhas Diggavi , Shlomo Shamai

This paper addresses optimal decoding strategies in lossy compression where the assumed distribution for compressor design mismatches the actual (true) distribution of the source. This problem has immediate relevance in standardized…

信息论 · 计算机科学 2026-02-04 Saeed R. Khosravirad , Ahmed Alkhateeb , Ingrid van de Voorde

The problem of joint source-channel coding is considered for a stationary remote (noisy) Gaussian source and a Gaussian channel. The encoder and decoder are assumed to be causal and their combined operations are subject to a delay…

信息论 · 计算机科学 2012-03-29 Erik Johannesson , Anders Rantzer , Bo Bernhardsson , Andrey Ghulchak

We propose to send a Gaussian source over an average-power limited additive white Gaussian noise channel by transmitting a linear combination of the source sequence and the result of its quantization using a high dimensional Gaussian vector…

信息论 · 计算机科学 2007-07-16 Shraga Bross , Amos Lapidoth , Stephan Tinguely

A distortion-noise profile is a function indicating the maximum allowed source distortion value for each noise level in the channel. In this paper, the minimum energy required to achieve a distortion noise profile is studied for Gaussian…

信息论 · 计算机科学 2019-11-28 Mohammadamin Baniasadi , Ertem Tuncel

In this paper, delay-limited transmission of quasi-stationary sources over block fading channels are considered. Considering distortion outage probability as the performance measure, two source and channel coding schemes with power adaptive…

信息论 · 计算机科学 2012-02-29 Roghayeh Joda , Farshad Lahouti

Consider a source that produces independent copies of a triplet of jointly distributed random variables, $\{X_{i},Y_{i},Z_{i}\}_{i=1}^{\infty}$. The process $\{X_{i}\}$ is observed at the encoder, and is supposed to be reproduced at two…

信息论 · 计算机科学 2008-12-18 Alina Maor , Neri Merhav

Intelligent reflection surface (IRS) has recently been recognized as a promising technique to enhance the performance of wireless systems due to its ability of reconfiguring the signal propagation environment. However, the perfect channel…

信号处理 · 电气工程与系统科学 2021-08-10 Gui Zhou , Cunhua Pan , Hong Ren , Kezhi Wang , Arumugam Nallanathan

We study the following semi-deterministic setting of the joint source-channel coding problem: a deterministic source sequence (a.k.a. individual sequence) is transmitted via a memoryless channel, using delay-limited encoder and decoder,…

信息论 · 计算机科学 2021-09-29 Neri Merhav

The problem of broadcasting a pair of correlated Gaussian sources using optimal separate source and channel codes is studied. Considerable performance gains over previously known separate source-channel schemes are observed. Although…

信息论 · 计算机科学 2011-05-10 Yang Gao , Ertem Tuncel

Lossy transmission over a relay channel in which the relay has access to correlated side information is considered. First, a joint source-channel decode-and-forward scheme is proposed for general discrete memoryless sources and channels.…

信息论 · 计算机科学 2016-11-17 Deniz Gunduz , Elza Erkip , Andrea J. Goldsmith , H. Vincent Poor

For information transmission a discrete time channel with independent additive Gaussian noise is used. There is also feedback channel with independent additive Gaussian noise, and the transmitter observes without delay all outputs of the…

信息论 · 计算机科学 2012-08-15 M. V. Burnashev , H. Yamamoto

A general theoretical framework is presented for analyzing information transmission over Gaussian channels with memoryless transceiver distortion, which encompasses various nonlinear distortion models including transmit-side clipping,…

信息论 · 计算机科学 2016-11-15 Wenyi Zhang