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It is common practice to collect observations of feature and response pairs from different environments. A natural question is how to identify features that have consistent prediction power across environments. The invariant causal…

信息论 · 计算机科学 2022-07-01 Austin Goddard , Yu Xiang , Ilya Soloveychik

We derive novel bounds for the performance of algorithms that estimate the downlink covariance matrix from the uplink covariance matrix in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems. The focus is…

信号处理 · 电气工程与系统科学 2018-08-02 Renato Luis Garrido Cavalcante , Lorenzo Miretti , Slawomir Stanczak

We consider the discrete memoryless degraded broadcast channels. We prove that the error probability of decoding tends to one exponentially for rates outside the capacity region and derive an explicit lower bound of this exponent function.…

信息论 · 计算机科学 2015-04-23 Yasutada Oohama

In this paper, new classes of lower bounds on the outage error probability and on the mean-square-error (MSE) in Bayesian parameter estimation are proposed. The minima of the h-outage error probability and the MSE are obtained by the…

信息论 · 计算机科学 2010-05-05 Routtenberg Tirza , Joseph Tabrikian

The broadcast channel (BC) with one common and two private messages with leakage constraints is studied, where leakage rate refers to the normalized mutual information between a message and a channel symbol string. Each private message is…

信息论 · 计算机科学 2017-05-30 Ziv Goldfeld , Gerhard Kramer , Haim H. Permuter

We provide nonasymptotic upper and lower bounds on the sum-rate capacity of Rayleigh block-fading multiple-access channels for the setup where a priori channel state information is not available. The upper bound relies on a dual formula for…

信息论 · 计算机科学 2016-11-17 Rahul Devassy , Giuseppe Durisi , Johan Östman , Wei Yang , Tome Eftimov , Zoran Utkovski

In this paper, a two-user discrete memoryless multiple-access channel (DM-MAC) with correlated channel states, each known at one of the encoders is considered, in which each encoder transmits independent messages and tries to cooperate with…

We consider distributed optimization over a $d$-dimensional space, where $K$ remote clients send coded gradient estimates over an {\em additive Gaussian Multiple Access Channel (MAC)} with noise variance $\sigma_z^2$. Furthermore, the…

信息论 · 计算机科学 2023-10-06 Shubham Jha

A lower bound on the maximum likelihood (ML) decoding error exponent of linear block code ensembles, on the erasure channel, is developed. The lower bound turns to be positive, over an ensemble specific interval of erasure probabilities,…

信息论 · 计算机科学 2019-01-23 Enrico Paolini , Gianluigi Liva

We propose a new inner bound on the capacity region of a memoryless multiple-access channel that is governed by a memoryless state that is known strictly causally to the encoders. The new inner bound contains the previous bounds, and we…

信息论 · 计算机科学 2011-06-03 Amos Lapidoth , Yossef Steinberg

We consider the joint constellation design problem for the noncoherent multiple-input multiple-output multiple-access channel (MAC). By analyzing the noncoherent maximum-likelihood detection error, we propose novel design criteria so as to…

信息论 · 计算机科学 2022-07-06 Khac-Hoang Ngo , Sheng Yang , Maxime Guillaud , Alexis Decurninge

The Poltyrev bound provides a very tight upper bound on the decoding error probability when using binary linear codes for transmission over the binary symmetric channel and the additive white Gaussian noise channel, making use of the code's…

信息论 · 计算机科学 2025-01-23 Tal Philosof , Ariel Doubchak , Amit Berman , Uri Erez

We develop upper bounds on code size for an independent and identically distributed deletion and insertion channels for a given code length and target frame error probability. The bounds are obtained as a variation of a general converse…

信息论 · 计算机科学 2026-04-14 Ruslan Morozov , Tolga Mete Duman

In this paper, we derive information-theoretic performance limits for three classes of two-user state-dependent discrete memoryless broadcast channels, with noncausal side-information at the encoder. The first class of channels comprises a…

信息论 · 计算机科学 2012-07-17 K. G. Nagananda , Chandra R. Murthy , Shalinee Kishore

In this paper, we derive outer bounds on the capacity region of two classes of the general two-user discrete memoryless broadcast channels with side-information at the transmitter. The first class comprises the classical broadcast channel…

信息论 · 计算机科学 2011-10-11 K. G. Nagananda , Chandra R Murthy , Shalinee Kishore

This paper studies the distributed average tracking problem pertaining to a discrete-time linear time-invariant multi-agent network, which is subject to, concurrently, input delays, random packet-drops, and reference noise. The problem…

系统与控制 · 电气工程与系统科学 2020-01-23 Fei Chen , Changjiang Chen , Ge Guo , Changchun Hua , Guanrong Chen

We consider streaming data transmission over a discrete memoryless channel. A new message is given to the encoder at the beginning of each block and the decoder decodes each message sequentially, after a delay of $T$ blocks. In this…

信息论 · 计算机科学 2015-12-22 Si-Hyeon Lee , Vincent Y. F. Tan , Ashish Khisti

We study the computational cost of differential privacy in terms of memory efficiency. While the trade-off between accuracy and differential privacy is well-understood, the inherent cost of privacy regarding memory use remains largely…

密码学与安全 · 计算机科学 2026-02-13 Alessandro Epasto , Xin Lyu , Pasin Manurangsi

Consider the transmission of a polar code of block length $N$ and rate $R$ over a binary memoryless symmetric channel $W$ and let $P_e$ be the block error probability under successive cancellation decoding. In this paper, we develop new…

信息论 · 计算机科学 2016-08-05 Marco Mondelli , S. Hamed Hassani , Rüdiger Urbanke

Communication lower bounds have long been established for matrix multiplication algorithms. However, most methods of asymptotic analysis have either ignored the constant factors or not obtained the tightest possible values. Recent work has…

分布式、并行与集群计算 · 计算机科学 2022-05-27 Hussam Al Daas , Grey Ballard , Laura Grigori , Suraj Kumar , Kathryn Rouse
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