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Zero-delay transmission of a Gaussian source over an additive white Gaussian noise (AWGN) channel is considered in the presence of an additive Gaussian interference signal. The mean squared error (MSE) distortion is minimized under an…

信息论 · 计算机科学 2016-04-15 Morteza Varasteh , Deniz Gündüz , Ertem Tuncel

Channel uncertainty and co-channel interference are two major challenges in the design of wireless systems such as future generation cellular networks. This paper studies receiver design for a wireless channel model with both time-varying…

信息论 · 计算机科学 2009-10-15 Yan Zhu , Dongning Guo , Michael L. Honig

The problem of sending two correlated vector Gaussian sources over a bandwidth-matched two-user scalar Gaussian broadcast channel is studied in this work, where each receiver wishes to reconstruct its target source under a covariance…

信息论 · 计算机科学 2015-03-11 Lin Song , Jun Chen , Chao Tian

The acquisition of Downlink (DL) channel state information at the transmitter (CSIT) is known to be a challenging task in multiuser massive MIMO systems when uplink/downlink channel reciprocity does not hold (e.g., in frequency division…

信息论 · 计算机科学 2025-06-13 Yi Song , Tianyu Yang , Mahdi Barzegar Khalilsarai , Giuseppe Caire

Recent information theoretic results suggest that precoding on the multi-user downlink MIMO channel with delayed channel state information at the transmitter (CSIT) could lead to data rates much beyond the ones obtained without any CSIT,…

信息论 · 计算机科学 2012-07-10 Xinping Yi , David Gesbert

We consider the design of linear precoders and receivers in a Multiple-Input Single-Output (MISO) Broadcast Channel (BC). We aim at minimizing the transmit power while fullfiling a set of per-user Quality-of-Service (QoS) constraints…

信息论 · 计算机科学 2016-10-04 José P. González-Coma , Michael Joham , Paula M. Castro , Luis Castedo

A low-complexity model for signal quality prediction in a nonlinear fiber-optical network is developed. The model, which builds on the Gaussian noise model, takes into account the signal degradation caused by a combination of chromatic…

光学 · 物理学 2015-01-07 Pontus Johannisson , Erik Agrell

Acquiring downlink channel state information (CSI) at the base station is vital for optimizing performance in massive Multiple input multiple output (MIMO) Frequency-Division Duplexing (FDD) systems. While deep learning architectures have…

信号处理 · 电气工程与系统科学 2024-03-14 Yu-Chien Lin , Yan Xin , Ta-Sung Lee , Charlie , Zhang , Zhi Ding

This paper quantifies the fundamental limits of variable-length transmission of a general (possibly analog) source over a memoryless channel with noiseless feedback, under a distortion constraint. We consider excess distortion, average…

信息论 · 计算机科学 2017-02-28 Victoria Kostina , Yury Polyanskiy , Sergio Verdú

Traditional distributed source coding rarely considers the possible link between separate encoders. However, the broadcast nature of wireless communication in sensor networks provides a free gossip mechanism which can be used to simplify…

信息论 · 计算机科学 2010-10-19 Zichong Chen , Guillermo Barrenetxea , Martin Vetterli

Analog (uncoded) transmission provides a simple and robust scheme for communicating a Gaussian source over a Gaussian channel under the mean squared error (MSE) distortion measure. Unfortunately, its performance is usually inferior to the…

信息论 · 计算机科学 2010-06-03 Yuval Kochman , Ram Zamir

Generalized mutual information (GMI) is used to compute achievable rates for fading channels with various types of channel state information at the transmitter (CSIT) and receiver (CSIR). The GMI is based on variations of auxiliary channel…

信息论 · 计算机科学 2023-05-23 Gerhard Kramer

We consider a multiterminal source coding problem in which a source is estimated at a central processing unit from lossy-compressed remote observations. Each lossy-encoded observation is produced by a remote sensor which obtains a noisy…

信息论 · 计算机科学 2016-05-13 Ruiyang Song , Stefano Rini , Alon Kipnis , Andrea J. Goldsmith

Channel state information (CSI) feedback in frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) systems is fundamentally limited by the high dimensionality of wideband channels. In this paper, we model the stacked…

信息论 · 计算机科学 2026-03-17 Bumsu Park , Youngmok Park , Chanho Park , Namyoon Lee

Through refined asymptotic analysis based on the normal approximation, we study how higher-order coding performance depends on the mean power as well as on finer statistics of the input power. We introduce a multifaceted power model in…

信息论 · 计算机科学 2026-05-13 Adeel Mahmood , Aaron B. Wagner

This work considers distributed sensing and transmission of sporadic random samples. Lower bounds are derived for the reconstruction error of a single normally or uniformly-distributed finite-dimensional vector imperfectly measured by a…

信息论 · 计算机科学 2015-11-20 Ayşe Ünsal , Raymond Knopp

The fading broadcast channel with confidential messages (BCC) is investigated, where a source node has common information for two receivers (receivers 1 and 2), and has confidential information intended only for receiver 1. The confidential…

信息论 · 计算机科学 2016-11-17 Yingbin Liang , H. Vincent Poor , Shlomo Shamai

This paper proves the separation between source-network coding and channel coding in networks of noisy, discrete, memoryless channels. We show that the set of achievable distortion matrices in delivering a family of dependent sources across…

信息论 · 计算机科学 2016-11-17 Shirin Jalali , Michelle Effros

We consider the problem of finding optimal, fair and distributed power-rate strategies to achieve the sum capacity of the Gaussian multiple-access block-fading channel. In here, the transmitters have access to only their own fading…

信息论 · 计算机科学 2012-08-24 Sibi Raj B. Pillai , Bikash K. Dey , Yash Deshpande , Krishnamoorthy Iyer

In this work we study encoding/decoding schemes for the transmission of a discrete time analog Gaussian source over a Gaussian wiretap channel. The intended receiver is assumed to have a certain minimum signal to noise ratio (SNR) and the…

信息论 · 计算机科学 2009-08-18 Makesh Pravin Wilson , Krishna Narayanan