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相关论文: On Achievability of Gaussian Interference Channel …

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So-called improper complex signals have been shown to be beneficial in the single-antenna two-user Gaussian interference channel under the assumptions that all input signals are Gaussian and that we treat interference as noise (TIN). This…

信息论 · 计算机科学 2020-02-06 Christoph Hellings , Wolfgang Utschick

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

Recently, Etkin, Tse, and Wang found the capacity region of the two-user Gaussian interference channel to within one bit/s/Hz. A natural goal is to apply this approach to the Gaussian interference channel with an arbitrary number of users.…

信息论 · 计算机科学 2016-11-17 Guy Bresler , Abhay Parekh , David Tse

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 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

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 interference channel with common information (IC-CI) consists of two transmit-receive pairs that communicate over a common noisy medium. Each transmitter has an individual message for its paired receiver, and additionally, both…

信息论 · 计算机科学 2012-03-01 Chinmay S. Vaze , Mahesh K. Varanasi

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

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

We characterize the symmetric capacity to within 1.7075 bits/s/Hz for the two-user Gaussian interference channel with feedback. The result makes use of a deterministic model to provide insights into the Gaussian channel. We derive a new…

信息论 · 计算机科学 2009-01-26 Changho Suh , David Tse

Recent outer bounds on the capacity region of Gaussian interference channels are generalized to $m$-user channels with $m>2$ and asymmetric powers and crosstalk coefficients. The bounds are again shown to give the sum-rate capacity for…

信息论 · 计算机科学 2008-01-16 Xiaohu Shang , Gerhard Kramer , Biao Chen

Establishing the capacity region of a Gaussian interference network is an open problem in information theory. Recent progress on this problem has led to the characterization of the capacity region of a general two user Gaussian interference…

信息论 · 计算机科学 2009-02-15 V. Sreekanth Annapureddy , Venugopal V. Veeravalli

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 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…

信息论 · 计算机科学 2007-07-13 Raul Etkin , David Tse , Hua Wang

The two-user Gaussian interference channel with a shared out-of-band relay is considered. The relay observes a linear combination of the source signals and broadcasts a common message to the two destinations, through a perfect link of fixed…

信息论 · 计算机科学 2016-11-18 Peyman Razaghi , Song Nam Hong. Lei Zhou , Wei Yu , Giuseppe Caire

The capacity of a network in which a multiple access channel (MAC) generates interference to a single-user channel is studied. An achievable rate region based on superposition coding and joint decoding is established for the discrete case.…

信息论 · 计算机科学 2012-09-06 Fangfang Zhu , Xiaohu Shang , Biao Chen , H. Vincent Poor

Interference is a major issue limiting the performance in wireless networks. Cooperation among receivers can help mitigate interference by forming distributed MIMO systems. The rate at which receivers cooperate, however, is limited in most…

信息论 · 计算机科学 2009-11-12 I-Hsiang Wang , David N. C. Tse

This paper considers the problem of cognitive radios with partial-message information. Here, an interference channel setting is considered where one transmitter (the "cognitive" one) knows the message of the other ("legitimate" user)…

信息论 · 计算机科学 2008-12-31 G. Chung , S. Sridharan , S. Vishwanath , C. S. Hwang

The capacity region of the one-sided Gaussian interference channel is established in the weak interference regime. To characterize this region, a new representation of the Han-Kobayashi inner bound for the one-sided Gaussian interference…

信息论 · 计算机科学 2015-09-21 Mojtaba Vaezi , H. Vincent Poor
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