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The cognitive interference channel (C-IFC) consists of a classical two-user interference channel in which the message of one user (the "primary" user) is non-causally available at the transmitter of the other user (the "cognitive" user). We…

Information Theory · Computer Science 2016-11-18 Stefano Rini , Daniela Tuninetti , Natasha Devroye

A class of state-dependent parallel networks with a common state-cognitive helper, in which $K$ transmitters wish to send $K$ messages to their corresponding receivers over $K$ state-corrupted parallel channels, and a helper who knows the…

Information Theory · Computer Science 2014-04-28 Ruchen Duan , Yingbin Liang , Ashish Khisti , Shlomo Shamai

In the $K$-user single-input single-output (SISO) frequency-selective fading interference channel, it is shown that the maximal achievable multiplexing gain is almost surely $K/2$ by using interference alignment (IA). However, when the…

Information Theory · Computer Science 2016-11-15 Yanjun Ma , Jiandong Li , Qin Liu , Rui Chen

In this paper we study the relay-interference wireless network, in which relay (helper) nodes are to facilitate competing information flows over a wireless network. We examine this in the context of a deterministic wireless interaction…

Information Theory · Computer Science 2008-12-10 Soheil Mohajer , Suhas N. Diggavi , Christina Fragouli , David N. C. Tse

We study the effect of stochastic wireless channel models on the connectivity of ad hoc networks. Unlike in the deterministic geometric disk model where nodes connect if they are within a certain distance from each other, stochastic models…

Networking and Internet Architecture · Computer Science 2014-01-29 Orestis Georgiou , Carl P. Dettmann , Justin P. Coon

We investigate how to exploit intermittent feedback for interference management by studying the two-user Gaussian interference channel (IC). We approximately characterize (within a universal constant) the capacity region for the Gaussian IC…

Information Theory · Computer Science 2016-11-17 Can Karakus , I-Hsiang Wang , Suhas Diggavi

We study interference channels (IFC) where interaction among sources and destinations is enabled, e.g., both sources and destinations can talk to each other using full-duplex radios. The interaction can come in two ways: 1) {\em In-band…

Information Theory · Computer Science 2013-10-14 Quan Geng , Sreeram Kannan , Pramod Viswanath

We consider the arbitrarily varying Gaussian relay channel with sender frequency division. We determine the random code capacity, and establish lower and upper bounds on the deterministic code capacity. It is observed that when the channel…

Information Theory · Computer Science 2018-06-01 Uzi Pereg , Yossef Steinberg

A recent result of the authors shows a so-called I-MMSE-like relationship that, for the two-user Gaussian interference channel, an I-MMSE relationship holds in the limit, as n $\to \infty$, between the interference and the interfered-with…

Information Theory · Computer Science 2018-04-17 Ronit Bustin , H. Vincent Poor , Shlomo Shamai

This work considers coordination and bargaining between two selfish users over a Gaussian interference channel using game theory. The usual information theoretic approach assumes full cooperation among users for codebook and rate selection.…

Information Theory · Computer Science 2016-11-17 Xi Liu , Elza Erkip

In this article, we introduce iterative deterministic equivalents as a novel technique for the performance analysis of communication systems whose channels are modeled by complex combinations of independent random matrices. This technique…

Information Theory · Computer Science 2011-12-20 Jakob Hoydis , Romain Couillet , Merouane Debbah

It is well known that opportunistic scheduling algorithms are throughput optimal under dynamic channel and network conditions. However, these algorithms achieve a hypothetical rate region which does not take into account the overhead…

Networking and Internet Architecture · Computer Science 2019-11-12 Mehmet Karaca , Tansu Alpcan , Ozgur Ercetin

We propose new ergodic interference alignment techniques for $K$-user interference channels with delayed feedback. Two delayed feedback scenarios are considered -- delayed channel information at transmitter (CIT) and delayed output…

Information Theory · Computer Science 2013-03-14 Myung Gil Kang , Wan Choi

For every Gaussian network, there exists a corresponding deterministic network called the discrete superposition network. We show that this discrete superposition network provides a near-optimal digital interface for operating a class…

Information Theory · Computer Science 2015-03-17 M. Anand , P. R. Kumar

This paper considers a distributed interference avoidance problem employing frequency assignment in the Gaussian interference channel (IC). We divide the common channel into several subchannels and each user chooses the subchannel with less…

Information Theory · Computer Science 2010-03-23 Zhenhai Jing , Baoming Bai , Xiao Ma , Ying Li

This paper studies the two-user Gaussian interference channel with half-duplex causal cognition. This channel model consists of two source-destination pairs sharing a common wireless channel. One of the sources, referred to as the…

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

The capacity of the two-user Gaussian interference channel has been open for thirty years. The understanding on this problem has been limited. The best known achievable region is due to Han-Kobayashi but its characterization is very…

Information Theory · Computer Science 2007-07-13 Raul Etkin , David Tse , Hua Wang

In this paper, the available spatial Degrees-Of-Freedoms (DOF) in single antenna systems is exploited. A new coding scheme is proposed in which several data streams having fractional multiplexing gains are sent by transmitters and…

Information Theory · Computer Science 2016-11-18 Abolfazl Seyed Motahari , Shahab Oveis Gharan , Mohammad-Ali Maddah-Ali , Amir Keyvan Khandani

In this paper, we introduce an efficient interference alignment (IA) algorithm exploiting partially coordinated transmit precoding to improve the number of concurrent interference-free transmissions, i.e., the multiplexing gain, in…

Information Theory · Computer Science 2011-03-24 Aimal Khan Yousafzai , Mohammad Reza Nakhai

Deep learning (DL) based autoencoder has shown great potential to significantly enhance the physical layer performance. In this paper, we present a DL based autoencoder for interference channel. Based on a characterization of a k-user…

Machine Learning · Computer Science 2019-12-18 Dehao Wu , Maziar Nekovee , Yue Wang