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In a K-user Gaussian interference channel, it has been shown that if for each user the desired signal strength is no less than the sum of the strengths of the strongest interference from this user and the strongest interference to this user…

Information Theory · Computer Science 2014-01-14 Chunhua Geng , Hua Sun , Syed A. Jafar

In this paper, we look at the problem of treating interference as noise (TIN) in the Gaussian interfering multiple access channel (IMAC). The considered network comprises $K$ mutually interfering multiple access channels (MACs), each…

Information Theory · Computer Science 2018-05-15 Hamdi Joudeh , Bruno Clerckx

It is shown that in the K-user interference channel, if for each user the desired signal strength is no less than the sum of the strengths of the strongest interference from this user and the strongest interference to this user (all values…

Information Theory · Computer Science 2013-05-21 Chunhua Geng , Navid Naderializadeh , A. Salman Avestimehr , Syed A. Jafar

In a K-user Gaussian interference channel, it has been shown by Geng et al. that if for each user the desired signal strength is no less than the sum of the strengths of the strongest interference from this user and the strongest…

Information Theory · Computer Science 2014-12-09 Chunhua Geng , Syed A. Jafar

In this paper, we explore the information-theoretic optimality of treating interference as noise (TIN) in cellular networks. We focus on uplink scenarios modeled by the Gaussian interfering multiple access channel (IMAC), comprising $K$…

Information Theory · Computer Science 2019-04-25 Hamdi Joudeh , Bruno Clerckx

It has been shown recently by Geng et al. that in a $K$ user Gaussian interference network, if for each user the desired signal strength is no less than the sum of the strengths of the strongest interference from this user and the strongest…

Information Theory · Computer Science 2014-01-14 Hua Sun , Syed A. Jafar

Despite the simplicity of the scheme of treating interference as noise (TIN), it was shown to be sum-capacity optimal in the Gaussian 2-user interference channel in \cite{ShangKramerChen,MotahariKhandani,AnnapureddyVeeravalli}. In this…

Information Theory · Computer Science 2011-05-27 Anas Chaaban , Aydin Sezgin

Despite the simplicity of the scheme of treating interference as noise (TIN), it was shown to be sum-capacity optimal in the Gaussian interference channel (IC) with very-weak (noisy) interference. In this paper, the 2-user IC is altered by…

Information Theory · Computer Science 2015-04-21 Soheil Gherekhloo , Chen Di , Anas Chaaban , Aydin Sezgin

For single-antenna Gaussian interference channels, we re-formulate the problem of determining the Generalized Degrees of Freedom (GDoF) region achievable by treating interference as Gaussian noise (TIN) derived in [3] from a combinatorial…

Information Theory · Computer Science 2015-09-17 Xinping Yi , Giuseppe Caire

In this work, we study the generalized degrees-of-freedom (GDoF) of downlink and uplink cellular networks, modeled as Gaussian interfering broadcast channels (IBC) and Gaussian interfering multiple access channels (IMAC), respectively. We…

Information Theory · Computer Science 2020-01-17 Hamdi Joudeh , Giuseppe Caire

New upper bounds on the sum capacity of the two-user Gaussian interference channel are derived. Using these bounds, it is shown that treating interference as noise achieves the sum capacity if the interference levels are below certain…

Information Theory · Computer Science 2008-01-04 V. Sreekanth Annapureddy , Venugopal V. Veeravalli

The generalized degrees of freedom (GDoF) region of the MIMO Gaussian interference channel is obtained for the general case with an arbitrary number of antennas at each node and where the SNR and interference-to-noise ratios (INRs) vary…

Information Theory · Computer Science 2011-03-10 Sanjay Karmakar , Mahesh K. Varanasi

The two-user Gaussian interference channel (G-IC) is revisited, with a particular focus on practically amenable discrete input signalling and treating interference as noise (TIN) receivers. The corresponding deterministic interference…

Information Theory · Computer Science 2021-03-18 Min Qiu , Yu-Chih Huang , Jinhong Yuan

The generalized degrees of freedom (GDoF) region of the MIMO Gaussian interference channel (IC) is obtained for the general case of an arbitrary number of antennas at each node and where the signal-to-noise ratios (SNR) and…

Information Theory · Computer Science 2011-03-15 Sanjay Karmakar , Mahesh K. Varanasi

The interference relay channel (IRC) under strong interference is considered. A high-signal-to-noise ratio (SNR) generalized degrees of freedom (GDoF) characterization of the capacity is obtained. To this end, a new GDoF upper bound is…

Information Theory · Computer Science 2013-10-07 Soheyl Gherekhloo , Anas Chaaban , Aydin Sezgin

The generalized degrees of freedom (GDoF) region of the multiple-input multiple-output (MIMO) Gaussian Z-interference channel with an arbitrary number of antennas at each node is established under the assumption of delayed channel state…

Information Theory · Computer Science 2016-05-04 Kaniska Mohanty , Mahesh K. Varanasi

In this paper, we investigate the generalized degrees-of-freedom (GDoF) of the asymmetric interference channel with delayed channel state information at the transmitter (CSIT), where each transmitter has two antennas, each receiver has one…

Information Theory · Computer Science 2022-05-04 Tong Zhang , Yufan Zhuang , Yinfei Xu

A new outer bound on the capacity region of Gaussian interference channels is developed. The bound combines and improves existing genie-aided methods and is shown to give the sum-rate capacity for noisy interference as defined in this…

Information Theory · Computer Science 2016-11-18 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…

Information Theory · Computer Science 2009-02-15 V. Sreekanth Annapureddy , Venugopal V. Veeravalli

We consider a secure communication over a two-user Gaussian interference channel, where each transmitter sends a confidential message to its legitimate receiver. For this setting, we identify a regime where the simple scheme of using…

Information Theory · Computer Science 2018-11-01 Jinyuan Chen
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