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A memoryless state sequence governing the behavior of a memoryless state-dependent channel is to be described causally to an encoder wishing to communicate over said channel. Given the maximal-allowed description rate, we seek the…

Information Theory · Computer Science 2023-08-15 Amos Lapidoth , Ligong Wang

Here we have proposed two decoding strategies of low-density parity-check (LDPC) codes over Markov noise channels with bit flipping noise. The sum-product algorithm used for decoding LDPC codes over memoryless channels is extended to…

Signal Processing · Electrical Eng. & Systems 2019-12-20 Mohit Kumar

We analyze deterministic message identification via channels with non-discrete additive white noise and with a noiseless feedback link under both average power and peak power constraints. The identification task is part of Post Shannon…

Information Theory · Computer Science 2022-02-18 Moritz Wiese , Wafa Labidi , Christian Deppe , Holger Boche

It is well known that Multiple-Input Multiple-Output (MIMO) systems have high spectral efficiency, especially when channel state information at the transmitter (CSIT) is available. When CSIT is obtained by feedback, it is practical to…

Information Theory · Computer Science 2007-07-13 Wei Dai , Youjian Liu , Vincent K. N. Lau , Brian Rider

In this paper, we establish the connections of the fundamental limitations in feedback communication, estimation, and feedback control over Gaussian channels, from a unifying perspective for information, estimation, and control. The optimal…

Information Theory · Computer Science 2009-10-05 Jialing Liu , Nicola Elia

The theory of multiple-input multiple-output (MIMO) technology has been well-developed to increase fading channel capacity over single-input single-output (SISO) systems. This capacity gain can often be leveraged by utilizing channel state…

Information Theory · Computer Science 2008-02-25 Il Han Kim , David J. Love

We consider the two-receiver memoryless broadcast channel with states where each receiver requests both common and private messages, and may know part of the private message requested by the other receiver as receiver message side…

Information Theory · Computer Science 2016-11-17 Behzad Asadi , Lawrence Ong , Sarah J. Johnson

This paper considers a binary channel with deletions. We derive two close form upper bound on the capacity of binary deletion channel. The first upper bound is based on computing the capacity of an auxiliary channel and we show how the…

Information Theory · Computer Science 2021-03-23 Hassan Tavakoli

The cognitive interference channel is an interference channel in which one transmitter is non-causally provided with the message of the other transmitter. This channel model has been extensively studied in the past years and capacity…

Information Theory · Computer Science 2010-03-24 Stefano Rini , Daniela Tuninetti , Natasha Devroye

Channel state information (CSI) at the base station (BS) is crucial to achieve beamforming and multiplexing gains in multiple-input multiple-output (MIMO) systems. State-of-the-art limited feedback schemes require feedback overhead that…

Information Theory · Computer Science 2018-10-17 Panos N. Alevizos , Xiao Fu , Nicholas D. Sidiropoulos , Yang Ye , Aggelos Bletsas

This paper is concerned with a duality-based approach to derive the linear feedback particle filter (FPF). The FPF is a controlled interacting particle system where the control law is designed to provide an exact solution for the nonlinear…

Optimization and Control · Mathematics 2018-04-13 Jin W. Kim , Amirhossein Taghvaei , Prashant G. Mehta

The great potentials of massive Multiple-Input Multiple-Output (MIMO) in Frequency Division Duplex (FDD) mode can be fully exploited when the downlink Channel State Information (CSI) is available at base stations. However, the accurate CSI…

Information Theory · Computer Science 2024-10-30 Jiajia Guo , Tong Chen , Shi Jin , Geoffrey Ye Li , Xin Wang , Xiaolin Hou

We propose two modified versions of the classical gradient ascent method to compute the capacity of finite-state channels with Markovian inputs. For the case that the channel mutual information is strongly concave in a parameter taking…

Information Theory · Computer Science 2020-06-09 Chengyu Wu , Guangyue Han , Venkat Anantharam , Brian Marcus

For output-symmetric DMCs at even moderately high rates, fixed-block-length communication systems show no improvements in their error exponents with feedback. In this paper, we study systems with fixed end-to-end delay and show that…

Information Theory · Computer Science 2007-12-06 Anant Sahai

We study upper and lower bounds on the sample-complexity of learning near-optimal behaviour in finite-state discounted Markov Decision Processes (MDPs). For the upper bound we make the assumption that each action leads to at most two…

Machine Learning · Computer Science 2013-05-17 Tor Lattimore , Marcus Hutter

In this work, we discuss the joint precoding with finite rate feedback in the so-called network MIMO where the TXs share the knowledge of the data symbols to be transmitted. We introduce a distributed channel state information (DCSI) model…

Information Theory · Computer Science 2012-06-25 Paul de Kerret , David Gesbert

We consider a three-terminal state-dependent relay channel with the channel state noncausally available at only the relay. Such a model may be useful for designing cooperative wireless networks with some terminals equipped with cognition…

Information Theory · Computer Science 2009-11-25 Abdellatif Zaidi , Shiva Prasad Kotagiri , J. Nicholas Laneman , Luc Vandendorpe

For the two-user MISO broadcast channel with imperfect and delayed channel state information at the transmitter (CSIT), the work explores the tradeoff between performance on the one hand, and CSIT timeliness and accuracy on the other hand.…

Information Theory · Computer Science 2013-09-26 Jinyuan Chen , Petros Elia

We study the problem of providing channel state information (CSI) at the transmitter in multi-user massive MIMO systems operating in frequency division duplexing (FDD). The wideband MIMO channel is a vector-valued random process correlated…

Information Theory · Computer Science 2022-07-22 Mahdi Barzegar Khalilsarai , Yi Song , Tianyu Yang , Giuseppe Caire

The capacity of a state-dependent discrete memoryless channel (SD-DMC) is derived for the setting where a message-cognizant rate-limited helper observes the state sequence noncausally, produces its description, and provides the description…

Information Theory · Computer Science 2023-11-15 Amos Lapidoth , Ligong Wang , Yiming Yan
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