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

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This paper provides a survey of the state-of-the-art information theoretic analysis for overlay multi-user (more than two pairs) cognitive networks and reports new capacity results. In an overlay scenario, cognitive / secondary users share…

信息论 · 计算机科学 2015-10-26 Diana Maamari , Daniela Tuninetti , Natasha Devroye

Interference alignment has emerged as a powerful tool in the analysis of multi-user networks. Despite considerable recent progress, the capacity region of the Gaussian K-user interference channel is still unknown in general, in part due to…

信息论 · 计算机科学 2016-11-15 Or Ordentlich , Uri Erez , Bobak Nazer

This work studies the Gaussian interference channel (IC) with a relay, which transmits and receives in a band that is orthogonal to the IC. The channel associated with the relay is thus an out-of-band relay channel (OBRC). The focus is on a…

信息论 · 计算机科学 2015-03-17 Ye Tian , Aylin Yener

This paper studies the capacity of a class of discrete memoryless interference channels where interference is defined analogous to that of Gaussian interference channel with one-sided weak interference. The sum-rate capacity of this class…

信息论 · 计算机科学 2013-03-11 Fangfang Zhu , Biao Chen

We consider symmetric two-user Gaussian interference channel with common messages. We derive an upper bound on the sum capacity, and show that the upper bound is tight in the low interference regime, where the optimal transmission scheme is…

信息论 · 计算机科学 2014-01-22 Quan Geng , Tie Liu

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. We consider a special class of two-user Gaussian interference channels…

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

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 paper addresses the problem of computing the achievable rates for two (and three) users sharing a same frequency band without coordination and thus interfering with each other. It is thus primarily related to the field of cognitive…

信息论 · 计算机科学 2008-09-19 Abdoulaye Bagayoko , Patrick Tortelier

This paper explores the two-user Gaussian interference channel through the lens of a natural deterministic channel model. The main result is that the deterministic channel uniformly approximates the Gaussian channel, the capacity regions…

信息论 · 计算机科学 2008-07-22 Guy Bresler , David Tse

In this paper, a new and general version of Gaussian channel in presence of two-sided state information correlated to the channel input and noise is considered. Determining a general achievable rate for the channel and obtaining the…

信息论 · 计算机科学 2015-07-20 Nima S. Anzabi-Nezhad , Ghosheh Abed Hodtani , Mohammad Molavi Kakhki

In this paper, a class of broadcast interference channels (BIC) is investigated, where one of the two broadcast receivers is subject to interference coming from a point-to-point transmission. For a general discrete memoryless broadcast…

信息论 · 计算机科学 2015-08-04 Yuanpeng Liu , Elza Erkip

In this paper, we characterize the capacity region for the two-user linear Gaussian compound Multiple Access Channel with common message (MACC) and with intersymbol interference (ISI) under an input power constraint. The region is obtained…

信息论 · 计算机科学 2012-12-19 Mostafa Monemizadeh , Saeed Hajizadeh , Seyed Alireza Seyedin , Ghosheh Abed Hodtani

In multi-user information theory it is often assumed that every node in the network possesses all codebooks used in the network. This assumption is however impractical in distributed ad-hoc and cognitive networks. This work considers the…

信息论 · 计算机科学 2014-01-23 Alex Dytso , Daniela Tuninetti , Natasha Devroye

We study the discrete memoryless Z-interference channel (ZIC) where the transmitter of the pair that suffers from interference is cognitive. We first provide upper and lower bounds on the capacity of this channel. We then show that, when…

信息论 · 计算机科学 2008-12-04 Nan Liu , Ivana Maric , Andrea Goldsmith , Shlomo Shamai

This paper studies the capacity region of a $K$-user cyclic Gaussian interference channel, where the $k$th user interferes with only the $(k-1)$th user (mod $K$) in the network. Inspired by the work of Etkin, Tse and Wang, who derived a…

信息论 · 计算机科学 2012-09-03 Lei Zhou , Wei Yu

This paper concerns the transmission of two independent Gaussian sources over a two-user decentralized interference channel, assuming that the transmitters are unaware of the instantaneous CSIs. The availability of the channel state…

信号处理 · 电气工程与系统科学 2017-12-21 Mohammadreza Darabi

The capacity region of the interference channel in which one transmitter non-causally knows the message of the other, termed the cognitive interference channel, has remained open since its inception in 2005. A number of subtly differing…

信息论 · 计算机科学 2015-03-13 Stefano Rini , Daniela Tuninetti , Natasha Devroye

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

In this paper, taking into account the effect of link delays, we investigate the capacity region of the Cognitive Interference Channel (C-IFC), where cognition can be obtained from either causal or non-causal generalized feedback. For this…

信息论 · 计算机科学 2012-02-02 Mahtab Mirmohseni , Bahareh Akhbari , Mohammad Reza Aref

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