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Related papers: Interference Channels with Source Cooperation

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Recent work has studied the benefits of caching in the interference channel, particularly by placing caches at the transmitters. In this paper, we study the two-user Gaussian interference channel in which caches are placed at both the…

Information Theory · Computer Science 2016-11-17 Jad Hachem , Urs Niesen , Suhas Diggavi

An achievable rate region, based on lattice interference alignment, is derived for a class of time-invariant Gaussian interference channels with more than two users. The result is established via a new coding theorem for the two-user…

Information Theory · Computer Science 2011-06-21 Or Ordentlich , Uri Erez

An interference channel is said to have strong interference if for all input distributions, the receivers can fully decode the interference. This definition of strong interference applies to discrete memoryless, scalar and vector Gaussian…

Information Theory · Computer Science 2016-11-17 Xiaohu Shang , H. Vincent Poor

We define a class of Z-interference channels for which we obtain a new upper bound on the capacity region. The bound exploits a technique first introduced by Korner and Marton. A channel in this class has the property that, for the…

Information Theory · Computer Science 2008-08-07 Nan Liu , Andrea Goldsmith

In this paper, the role of secret key with finite rate is studied to enhance the secrecy performance of the system when users are operating in interference limited scenarios. To address this problem, a 2-user Gaussian Z-IC with secrecy…

Information Theory · Computer Science 2021-05-20 Somalatha U , Parthajit Mohapatra

The discrete memoryless interference channel is modelled as a conditional probability distribution with two outputs depending on two inputs and has widespread applications in practical communication scenarios. In this paper, we introduce…

Quantum Physics · Physics 2015-03-19 Ivan Savov , Omar Fawzi , Mark M. Wilde , Pranab Sen , Patrick Hayden

We investigate how to exploit intermittent feedback for interference management. Focusing on the two-user linear deterministic interference channel, we completely characterize the capacity region. We find that the characterization only…

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

This paper considers a two-user Gaussian interference channel with energy harvesting transmitters. Different than conventional battery powered wireless nodes, energy harvesting transmitters have to adapt transmission to availability of…

Information Theory · Computer Science 2015-03-19 Kaya Tutuncuoglu , Aylin Yener

This paper explores communication over a two-sender, two-receiver classical interference channel, enhanced by the availability of entanglement resources between transmitters. The central contributions are an inner and outer bound on the…

Quantum Physics · Physics 2025-01-24 Jonas Hawellek , Athin Mohan , Hadi Aghaee , Christian Deppe

This paper is motivated by a sensor network on a correlated field where nearby sensors share information, and can thus assist rather than interfere with one another. We consider a special class of two-user Gaussian interference channels…

Information Theory · Computer Science 2007-07-13 Wei Wu , Sriram Vishwanath , Ari Arapostathis

Interference alignment is a key technique for communication scenarios with multiple interfering links. In several such scenarios, interference alignment was used to characterize the degrees-of-freedom of the channel. However, these…

Information Theory · Computer Science 2015-03-19 Urs Niesen , Mohammad Maddah-Ali

New sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize the existing results. More concise conditions for…

Information Theory · Computer Science 2016-11-17 Xiaohu Shang , H. Vincent Poor

Recent investigations have shown that the sum secure degrees of freedom of the Gaussian wiretap channel with a helper is $\tfrac{1}{2}$. The achievable scheme for this result is based on the real interference alignment approach. While…

Information Theory · Computer Science 2016-09-19 Rick Fritschek , Gerhard Wunder

A new achievable rate region is given for the Gaussian cognitive many-to-one interference channel. The proposed novel coding scheme is based on the compute-and-forward approach with lattice codes. Using the idea of decoding sums of…

Information Theory · Computer Science 2016-11-18 Jingge Zhu , Michael Gastpar

A deep understanding of the queuing performance of wireless networks is essential for the advancement of future wireless communications. The stochastic nature of wireless channels in general gives rise to a time varying transmission rate.…

Networking and Internet Architecture · Computer Science 2016-04-05 Sebastian Schiessl , Farshad Naghibi , Hussein Al-Zubaidy , Markus Fidler , James Gross

In an M x N interference network, there are M transmitters and N receivers with each transmitter having independent messages for each of the 2^N -1 possible non-empty subsets of the receivers. We consider the 2 x 2 interference network with…

Information Theory · Computer Science 2016-12-26 Murali Sridhar , Srikrishna Bhashyam

The symmetric K user interference channel with fully connected topology is considered, in which (a) each receiver suffers interference from all other (K-1) transmitters, and (b) each transmitter has causal and noiseless feedback from its…

Information Theory · Computer Science 2012-12-24 Soheil Mohajer , Ravi Tandon , H. Vincent Poor

Presence of multiple antennas on both sides of a communication channel promises significant improvements in system throughput and power efficiency. In effect, a new class of large multiple-input multiple-output (MIMO) communication systems…

Information Theory · Computer Science 2014-01-28 Maksym A. Girnyk , Mikko Vehkaperä , Lars K. Rasmussen

This paper considers the K user cognitive interference channel with one primary and K-1 secondary/cognitive transmitters with a cumulative message sharing structure, i.e cognitive transmitter $i\in [2:K]$ knows non-causally all messages of…

Information Theory · Computer Science 2013-01-29 Diana Maamari , Daniela Tuninetti , Natasha Devroye

Computing capacity of Gaussian Interference Channel (GIC) is complex since knowledge of input distributions is needed to find the mutual information terms in closed forms, which should be optimized over input distributions and associated…

Information Theory · Computer Science 2020-12-09 Amir K. Khandani