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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

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

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

The cognitive interference channel with confidential messages is studied. Similarly to the classical two-user interference channel, the cognitive interference channel consists of two transmitters whose signals interfere at the two…

信息论 · 计算机科学 2007-10-11 Yingbin Liang , Anelia Somekh-Baruch , H. Vincent Poor , Shlomo Shamai , Sergio Verdu

This work proposes a novel outer bound for the Gaussian cognitive interference channel in strong interference at the primary receiver based on the capacity of a multi-antenna broadcast channel with degraded message set. It then shows that…

信息论 · 计算机科学 2015-03-19 Stefano Rini , Daniela Tuninetti , Natasha Devroye

This paper considers the two-user Gaussian Causal Cognitive Interference Channel (GCCIC), which consists of two source-destination pairs that share the same channel and where one full-duplex cognitive source can causally learn the message…

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

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

The capacity region of the Multicast Cognitive Interference Channel (CIFC) is investigated. This channel consists of two independent transmitters that wish to multicast two different messages, each of them to a different set of users. In…

信息论 · 计算机科学 2016-11-17 Meryem Benammar , Pablo Piantanida , Shlomo Shamai

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 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…

信息论 · 计算机科学 2015-09-22 Mojtaba Vaezi , H. Vincent Poor

The secrecy problem in the state-dependent cognitive interference channel is considered in this paper. In our model, there are a primary and a secondary (cognitive) transmitter-receiver pairs, in which the cognitive transmitter has the…

信息论 · 计算机科学 2016-05-19 Hamid G. Bafghi , Babak Seyfe , Mahtab Mirmohseni , Mohammad Reza Aref

We address single-user data transmission over a channel where the received signal incurs interference from a finite number of users (interfering users) that use single codebooks for transmitting their own messages. The receiver, however, is…

信息论 · 计算机科学 2007-11-21 Abolfazl S. Motahari , Amir K. Khandani

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. A special class of two-user Gaussian interference channels (IFCs) is…

信息论 · 计算机科学 2007-07-13 Wei Wu , Sriram Vishwanath , Ari Arapostathis

This study investigates the capacity region of a three-user cognitive radio network with two primary users and one cognitive user. A three-user Cognitive Interference Channel (C-IFC) is proposed by considering a three-user Interference…

信息论 · 计算机科学 2012-06-20 Mahtab Mirmohseni , Bahareh Akhbari , Mohammad Reza Aref

Inner and outer bounds are established on the capacity region of two-sender, two-receiver interference channels where one transmitter knows both messages. The transmitter with extra knowledge is referred to as being cognitive. The inner…

信息论 · 计算机科学 2007-10-22 I. Maric , A. Goldsmith , G. Kramer , S. Shamai

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

The paper establishes the capacity region of the Gaussian interference channel with many transmitter-receiver pairs constrained to use point-to-point codes. The capacity region is shown to be strictly larger in general than the achievable…

信息论 · 计算机科学 2011-02-15 Francois Baccelli , Abbas El Gamal , David Tse

Interference widely exists in communication systems and is often not optimally treated at the receivers due to limited knowledge and/or computational burden. Evolutions of receivers have been proposed to balance complexity and spectral…

信息论 · 计算机科学 2025-11-14 Sibo Zhang , Bruno Clerckx
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