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相关论文: On the Capacity of the Two-user Gaussian Causal Co…

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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…

信息论 · 计算机科学 2016-11-15 Martina Cardone , Daniela Tuninetti , Raymond Knopp

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…

信息论 · 计算机科学 2016-11-15 Martina Cardone , Daniela Tuninetti , Raymond Knopp , Umer Salim

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…

信息论 · 计算机科学 2010-05-28 Hossein Bagheri , Abolfazl S. Motahari , Amir K. Khandani

The capacity of the two-user Gaussian cognitive interference channel, a variation of the classical interference channel where one of the transmitters has knowledge of both messages, is known in several parameter regimes but remains unknown…

信息论 · 计算机科学 2010-07-12 Stefano Rini , Daniela Tuninetti , Natasha Devroye

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…

信息论 · 计算机科学 2016-11-18 Stefano Rini , Daniela Tuninetti , Natasha Devroye

A two-user symmetric Gaussian Interference Channel (IC) is considered in which a noiseless unidirectional link connects one encoder to the other. Having a constant capacity, the additional link provides partial cooperation between the…

信息论 · 计算机科学 2009-09-16 Hossein Bagheri , Abolfazl S. Motahari , Amir K. Khandani

In this paper the study of the cognitive interference channel with a common message, a variation of the classical cognitive interference channel in which the cognitive message is decoded at both receivers. We derive the capacity for the…

信息论 · 计算机科学 2012-02-07 Stefano Rini , Carolin Huppert

In this paper the cognitive interference channel with a common message, a variation of the classical cognitive interference channel in which the cognitive message is decoded at both receivers, is studied. For this channel model new outer…

信息论 · 计算机科学 2012-08-21 Stefano Rini , Carolin Huppert

The capacity of the Gaussian cognitive interference channel, a variation of the classical two-user interference channel where one of the transmitters (referred to as cognitive) has knowledge of both messages, is known in several parameter…

信息论 · 计算机科学 2016-11-17 Stefano Rini , Daniela Tuninetti , Natasha Devroye

The cognitive interference channel models cognitive overlay radio systems, where cognitive radios overhear the transmission of neighboring nodes. Capacity for this channel is not known in general. For the Gaussian case capacity is known in…

信息论 · 计算机科学 2012-04-11 Stefano Rini , Ernest Kurniawan , Andrea Goldsmith

This work considers the corner points of the capacity region of a two-user Gaussian interference channel (GIC). In a two-user GIC, the rate pairs where one user transmits its data at the single-user capacity (without interference), and the…

信息论 · 计算机科学 2015-04-09 Igal Sason

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…

信息论 · 计算机科学 2014-09-09 Alex Dytso , Stefano Rini , Natasha Devroye , Daniela Tuninetti

This paper considers the cognitive interference channel (CIC) with two transmitters and two receivers, in which the cognitive transmitter non-causally knows the message and codeword of the primary transmitter. We first introduce a discrete…

信息论 · 计算机科学 2011-02-08 Mojtaba Vaezi , Mai Vu

A new problem formulation is presented for the Gaussian interference channels (GIFC) with two pairs of users, which are distinguished as primary users and secondary users, respectively. The primary users employ a pair of encoder and decoder…

信息论 · 计算机科学 2016-11-17 Xiujie Huang , Xiao Ma , Lei Lin , Baoming Bai

This paper studies the value of limited rate cooperation between the transmitters for managing interference and simultaneously ensuring secrecy, in the 2-user Gaussian symmetric interference channel (GSIC). First, the problem is studied in…

信息论 · 计算机科学 2016-06-14 Parthajit Mohapatra , Chandra R. Murthy

The InterFerence Channel with a Cognitive Relay (IFC-CR) consists of a classical two-user interference channel in which the two independent messages are also non-causally known at a cognitive relay node. In this work a special class of…

信息论 · 计算机科学 2011-02-17 Stefano Rini , Daniela Tuninetti , Natasha Devroye

We characterize the capacity region to within 2 bits/s/Hz and the symmetric capacity to within 1 bit/s/Hz for the two-user Gaussian interference channel (IC) with feedback. We develop achievable schemes and derive a new outer bound to…

信息论 · 计算机科学 2010-05-20 Changho Suh , David Tse

A class of cognitive interference channel with state is investigated, in which two transmitters (transmitters 1 and 2) communicate with two receivers (receivers 1 and 2) over an interference channel. The two transmitters jointly transmit a…

信息论 · 计算机科学 2012-07-10 Ruchen Duan Yingbin Liang

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…

信息论 · 计算机科学 2020-12-09 Amir K. Khandani

The performance gain by allowing half-duplex source cooperation is studied for Gaussian interference channels. The source cooperation is {\em in-band}, meaning that each source can listen to the other source's transmission, but there is no…

信息论 · 计算机科学 2014-02-06 Rui Wu , Vinod Prabhakaran , Pramod Viswanath , Yi Wang
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