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This paper is concerned with general interference channels characterized by a sequence of transition (conditional) probabilities. We present a general formula for the capacity region of the interference channel with two pairs of users. The…

Information Theory · Computer Science 2012-02-03 Lei Lin , Xiao Ma , Xiujie Huang , Baoming Bai

A two-user Gaussian Z-Interference Channel (GZIC) is considered, in which encoders are connected through noiseless links with finite capacities. In this setting, prior to each transmission block the encoders communicate with each other over…

Information Theory · Computer Science 2010-05-28 Hossein Bagheri , Abolfazl S. Motahari , Amir K. Khandani

This paper adds to the understanding of the capacity region of the Gaussian interference channel. To this end, the capacity region of the one-sided Gaussian interference channel is first fully characterized. This is accomplished by…

Information Theory · Computer Science 2015-09-22 Mojtaba Vaezi , H. Vincent Poor

The I-MMSE formula connects two important quantities in information theory and estimation theory: the mutual information and the minimum mean-squared error (MMSE). It states that in a scalar Gaussian channel, the derivative of the mutual…

Information Theory · Computer Science 2024-08-27 Minh-Toan Nguyen

We introduce the two-way Gaussian interference channel in which there are four nodes with four independent messages: two-messages to be transmitted over a Gaussian interference channel in the $\rightarrow$ direction, simultaneously with…

Information Theory · Computer Science 2012-10-09 Zhiyu Cheng , Natasha Devroye

This paper studies the two-user Causal Cognitive Interference Channel (CCIC), where two transmitters aim to communicate independent messages to two different receivers via a common channel. One source, referred to as the cognitive, is…

Information Theory · Computer Science 2016-11-15 Martina Cardone , Daniela Tuninetti , Raymond Knopp

In this paper, the 3-user multiple-input multiple-output Gaussian interference channel with M antennas at each transmitter and N antennas at each receiver is considered. It is assumed that the channel coefficients are constant and known to…

Information Theory · Computer Science 2011-05-23 Mohamed Amir , Amr El-Keyi , Mohammed Nafie

In this paper, we investigate the sum-capacity of the two-user Gaussian interference channel with Gaussian superposition coding and successive decoding. We first examine an approximate deterministic formulation of the problem, and introduce…

Information Theory · Computer Science 2011-03-30 Yue Zhao , Chee Wei Tan , A. Salman Avestimehr , Suhas N. Diggavi , Gregory J. Pottie

We examine codes, over the additive Gaussian noise channel, designed for reliable communication at some specific signal-to-noise ratio (SNR) and constrained by the permitted minimum mean-square error (MMSE) at lower SNRs. The maximum…

Information Theory · Computer Science 2012-08-10 Ronit Bustin , Shlomo Shamai

For a multi-user interference channel with multi-antenna transmitters and single-antenna receivers, by restricting each transmitter to Gaussian input and each receiver to a single-user detector, computing the largest achievable rate region…

Information Theory · Computer Science 2009-07-06 Xiaohu Shang , Biao Chen , H. Vincent Poor

This paper derives a novel sum-rate outer bound for the general memoryless interference channel with three users. The derivation is a generalization of the techniques developed by Kramer and by Etkin et al for the Gaussian two-user channel.…

Information Theory · Computer Science 2011-02-04 Daniela Tuninetti

We analyze the gains of opportunistic communication in multiuser interference channels. Consider a fully connected $n$-user Gaussian interference channel. At each time instance only $K\leq n$ transmitters are allowed to be communicating…

Information Theory · Computer Science 2010-07-22 Ali Tajer , Xiaodong Wang

This article shows that the capacity region of a two users weak Gaussian interference channel can be achieved using single letter Gaussian code-books. The approach relies on traversing the boundary in incremental steps. Starting from a…

Information Theory · Computer Science 2026-05-18 Amir K. Khandani

The interference channel with degraded message sets (IC-DMS) refers to a communication model in which two senders attempt to communicate with their respective receivers simultaneously through a common medium, and one of the senders has…

Information Theory · Computer Science 2007-07-13 Jinhua Jiang , Xin Yan

This paper considers a variation of the classical two-user interference channel where the communication of two interfering source-destination pairs is aided by an additional node that has a priori knowledge of the messages to be…

Information Theory · Computer Science 2014-09-09 Alex Dytso , Stefano Rini , Natasha Devroye , Daniela Tuninetti

We study private broadcasting of two messages to two groups of receivers over independent parallel channels. One group consists of an arbitrary number of receivers interested in a common message, whereas the other group has only one…

Information Theory · Computer Science 2013-01-01 Ashish Khisti , Tie Liu

This paper shows that for the two-user Gaussian Interference Channel (G-IC) Treating Interference as Noise without Time Sharing (TINnoTS) achieves the closure of the capacity region to within either a constant gap, or to within a gap of the…

Information Theory · Computer Science 2015-06-09 Alex Dytso , Daniela Tuninetti , Natasha Devroye

Unveiling a fundamental link between information theory and estimation theory, the I-MMSE relation by Guo, Shamai and Verdu~\cite{gu05}, together with its numerous extensions, has great theoretical significance and various practical…

Information Theory · Computer Science 2017-09-26 Guangyue Han , Jian Song

Multi-user Gaussian MIMO wiretap channel is considered under interference power constraints (IPC), in addition to the total transmit power constraint (TPC). Algorithms for \textit{global} maximization of its secrecy rate are proposed. Their…

Information Theory · Computer Science 2020-12-02 Limeng Dong , Sergey Loyka , Yong Li

This paper deals with arbitrarily distributed finite-power input signals observed through an additive Gaussian noise channel. It shows a new formula that connects the input-output mutual information and the minimum mean-square error (MMSE)…

Information Theory · Computer Science 2007-07-13 Dongning Guo , Shlomo Shamai , Sergio Verdu