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相关论文: On Achievable Schemes of Interference Alignment wi…

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In this paper, we study the state-dependent two-user interference channel, where the state information is non-causally known at both transmitters but unknown to either of the receivers. We first propose two coding schemes for the discrete…

信息论 · 计算机科学 2015-03-19 Lili Zhang , Jinhua Jiang , Shuguang Cui

We study the capacity of discrete memoryless many-to-one interference channels, i.e., K user interference channels where only one receiver faces interference. For a class of many-to-one interference channels, we identify a noisy…

信息论 · 计算机科学 2009-12-17 Viveck R. Cadambe , Syed A. Jafar

In this paper, we develop achievability schemes for symmetric $K$-user interference channels with a rate-limited feedback from each receiver to the corresponding transmitter. We study this problem under two different channel models: the…

信息论 · 计算机科学 2017-08-04 Mehdi Ashraphijuo , Vaneet Aggarwal , Xiaodong Wang

Interference alignment is a transmission technique for exploiting all available degrees of freedom in the interference channel with an arbitrary number of users. Most prior work on interference alignment, however, neglects interference from…

信息论 · 计算机科学 2010-10-05 Steven W. Peters , Robert W. Heath

Recent investigations have shown sum capacity results within a constant bit-gap for several channel models, e.g. the two-user Gaussian interference channel (G-IC), k-user G-IC or the Gaussian X-channel. This has motivated investigations of…

信息论 · 计算机科学 2017-05-15 Rick Fritschek , Gerhard Wunder

We consider the time-correlated multiple-antenna interference channel where the transmitters have (i) delayed channel state information (CSI) obtained from a latency-prone feedback channel as well as (ii) imperfect current CSIT, obtained…

信息论 · 计算机科学 2012-05-01 Xinping Yi , David Gesbert , Sheng Yang , Mari Kobayashi

Diversity-Multiplexing tradeoff (DMT) is a coarse high SNR approximation of the fundamental tradeoff between data rate and reliability in a slow fading channel. In this paper, we characterize the fundamental DMT of the two user single…

信息论 · 计算机科学 2009-09-08 Adnan Raja , Pramod Viswanath

The degrees of freedom (DoF) available for communication provides an analytically tractable way to characterize the information-theoretic capacity of interference channels. In this paper, the DoF of a K-user interference channel is studied…

信息论 · 计算机科学 2016-11-15 Aly El Gamal , V. Sreekanth Annapureddy , Venugopal V. Veeravalli

In this paper, we consider a K-user interference channel where interference among the users is neither too strong nor too weak, a scenario that is relatively underexplored in the literature. We propose a novel deep learning-based approach…

信号处理 · 电气工程与系统科学 2024-07-23 Rajesh Mishra , Syed Jafar , Sriram Vishwanath , Hyeji Kim

In this paper we consider strategies for MIMO interference channels which combine the notions of interference alignment and channel pre-inversion. Users collaborate to form data-sharing groups, enabling them to clear interference within a…

信息论 · 计算机科学 2015-02-03 David Karpuk , Peter Moss

It is well known that the classical 2 user Gaussian interference channel has only 1 degree of freedom (DoF), which can be achieved by orthogonal time division among the 2 users. It is also known that the use of conventional relays, which…

信息论 · 计算机科学 2011-02-21 Namyoon Lee , Syed A. Jafar

This paper studies a symmetric K user Gaussian interference channel with K transmitters and K receivers. A "very strong" interference regime is derived for this channel setup. A "very strong" interference regime is one where the capacity…

信息论 · 计算机科学 2008-08-19 Sriram Sridharan , Amin Jafarian , Sriram Vishwanath , Syed A. Jafar

In this paper, we consider the problem of the interference alignment for the $K$-user SISO interference channel with blind channel state information at transmitters (CSIT). Our achievement in contrast to popular $K-$user interference…

信息论 · 计算机科学 2016-02-11 Milad Johnny , Mohammad Reza Aref

This paper presents adaptive bidirectional minimum mean-square error parameter estimation algorithms for fast-fading channels. The time correlation between successive channel gains is exploited to improve the estimation and tracking…

信息论 · 计算机科学 2015-10-14 P. Clarke , R. C. de Lamare

Interference is a fundamental feature of the wireless channel. To better understand the role of cooperation in interference management, the two-user Gaussian interference channel where the destination nodes can cooperate by virtue of being…

信息论 · 计算机科学 2011-01-28 Vinod M. Prabhakaran , Pramod Viswanath

This paper studies the K-user Gaussian interference channel with secrecy constraints. Two distinct network models, namely the interference channel with confidential messages and the one with an external eavesdropper, are analyzed. Using…

信息论 · 计算机科学 2016-11-15 Onur Ozan Koyluoglu , Hesham El Gamal , Lifeng Lai , H. Vincent Poor

In this work, we consider achievable secrecy rates for symmetric $K$-user ($K \ge 3$) interference channels with confidential messages. We find that nested lattice codes and layered coding are useful in providing secrecy for these channels.…

信息论 · 计算机科学 2016-11-17 Xiang He , Aylin Yener

Dimensionality requirement poses a major challenge for Interference alignment (IA) in practical systems. This work evaluates the necessary and sufficient conditions on channel structure of a fully connected general interference network to…

信息论 · 计算机科学 2016-01-25 Zainalabedin Samadi , Vahid Tabatabavakili , Farzan Haddadi

This paper studies interference channels with security constraints. The existence of an external eavesdropper in a two-user interference channel is assumed, where the network users would like to secure their messages from the external…

信息论 · 计算机科学 2009-05-04 O. Ozan Koyluoglu , Hesham El Gamal

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…

信息论 · 计算机科学 2013-01-29 Diana Maamari , Daniela Tuninetti , Natasha Devroye