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相关论文: On the Separability of Parallel Gaussian Interfere…

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We study private broadcasting of two messages to two groups of receivers over independent parallel channels. One group consists of an arbitrary number of receivers interested in a common message, whereas the other group has only one…

信息论 · 计算机科学 2013-01-01 Ashish Khisti , Tie Liu

We investigate how to exploit intermittent feedback for interference management by studying the two-user Gaussian interference channel (IC). We approximately characterize (within a universal constant) the capacity region for the Gaussian IC…

信息论 · 计算机科学 2016-11-17 Can Karakus , I-Hsiang Wang , Suhas Diggavi

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 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

This paper studies a class of stochastic and time-varying Gaussian intersymbol interference~(ISI) channels. The probability law for the~$i^{th}$ channel tap during time slot~$t$ is supported over an interval of centre $c_i$ and radius~$…

信息论 · 计算机科学 2022-08-16 Kamyar Moshksar

We consider a state-dependent parallel Gaussian channel with independent states and a common cognitive helper, in which two transmitters wish to send independent information to their corresponding receivers over two parallel subchannels.…

信息论 · 计算机科学 2018-10-30 Michael Dikshtein , Ruchen Duan , Yingbin Liang , Shlomo Shamai

In this paper, we investigate the sum-capacity of the two-user Gaussian interference channel with Gaussian superposition coding and successive decoding. We first examine an approximate deterministic formulation of the problem, and introduce…

信息论 · 计算机科学 2011-03-30 Yue Zhao , Chee Wei Tan , A. Salman Avestimehr , Suhas N. Diggavi , Gregory J. Pottie

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

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

We consider the problem of distributed joint source-channel coding of correlated Gaussian sources over a Gaussian Multiple Access Channel (GMAC). There may be side information at the decoder and/or at the encoders. First we specialize a…

信息论 · 计算机科学 2009-05-15 R Rajesh , Vinod Sharma

A multiple access channel and a point-to-point channel sharing the same medium for communications are considered. We obtain an outer bound for the capacity region of this setup, and we show that this outer bound is achievable in some cases.…

信息论 · 计算机科学 2010-11-01 Anas Chaaban , Aydin Sezgin

We study the Han-Kobayashi (HK) achievable sum rate for the two-user symmetric Gaussian interference channel. We find the optimal power split ratio between the common and private messages (assuming no time-sharing), and derive a closed form…

信息论 · 计算机科学 2010-10-13 Omar Mehanna , John Marcos , Nihar Jindal

The degrees-of-freedom of a K-user Gaussian interference channel (GIFC) has been defined to be the multiple of (1/2)log_2(P) at which the maximum sum of achievable rates grows with increasing P. In this paper, we establish that the…

信息论 · 计算机科学 2009-01-14 Raul Etkin , Erik Ordentlich

This paper studies the achievable rate region of the two-user single-input-single-output (SISO) Gaussian interference channel, when the improper Gaussian signaling is applied. Under the assumption that the interference is treated as…

信息论 · 计算机科学 2012-05-10 Yong Zeng , Cenk M. Yetis , Erry Gunawan , Yong Liang Guan , Rui Zhang

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

In this paper, we consider a Gaussian multiple access channel with multiple independent additive white Gaussian interferences. Each interference is known to exactly one transmitter non-causally. The capacity region is characterized to…

信息论 · 计算机科学 2011-02-25 I-Hsiang Wang

The role of cooperation in managing interference - a fundamental feature of the wireless channel - is investigated by studying the two-user Gaussian interference channel where the source nodes can both transmit and receive in full-duplex.…

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

We show that there exist Gaussian channels which are amendable. A channel is amendable if when applied twice is entanglement breaking while there exists a unitary filter such that, when interposed between the first and second action of the…

量子物理 · 物理学 2013-07-16 A. De Pasquale , A. Mari , A. Porzio , V. Giovannetti

Deep generative models (DGMs) have recently demonstrated remarkable success in capturing complex probability distributions over graphs. Although their excellent performance is attributed to powerful and scalable deep neural networks, it is,…

机器学习 · 计算机科学 2025-03-18 Milan Papež , Martin Rektoris , Václav Šmídl , Tomáš Pevný

A Han-Kobayashi based achievable scheme is presented for ergodic fading two-user Gaussian interference channels (IFCs) with perfect channel state information at all nodes and Gaussian codebooks with no time-sharing. Using max-min…

信息论 · 计算机科学 2010-01-19 Lalitha Sankar , Elza Erkip , H. Vincent Poor