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相关论文: Second-Order Identification Capacity of AWGN Chann…

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In this research report, an achievability region and a converse region for the two-user Gaussian interference channel with noisy channel-output feedback (G-IC-NOF) are presented. The achievability region is obtained using a random coding…

信息论 · 计算机科学 2016-11-16 Victor Quintero , Samir M. Perlaza , Iñaki Esnaola , Jean-Marie Gorce

In this paper, an achievability region and a converse region for the two-user Gaussian interference channel with noisy channel-output feedback (G-IC-NOF) are presented. The achievability region is obtained using a random coding argument and…

信息论 · 计算机科学 2016-11-18 Victor Quintero , Samir M. Perlaza , Iñaki Esnaola , Jean-Marie Gorce

This paper investigates the maximal channel coding rate achievable at a given blocklength $n$ and error probability $\epsilon$, when the codewords are subject to a long-term (i.e., averaged-over-all-codeword) power constraint. The…

信息论 · 计算机科学 2015-07-15 Wei Yang , Giuseppe Caire , Giuseppe Durisi , Yury Polyanskiy

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…

信息论 · 计算机科学 2022-02-18 Moritz Wiese , Wafa Labidi , Christian Deppe , Holger Boche

In some applications, the variance of additive measurement noise depends on the signal that we aim to measure. For instance, additive Gaussian signal-dependent noise (AGSDN) channel models are used in molecular and optical communication.…

For memoryless channels with continuous input alphabets, deterministic identification (DI) typically exhibits a linearithmic ($n\log n$) message growth. However, the exact DI capacity has long remained open due to a persistent gap between…

信息论 · 计算机科学 2026-05-07 Pau Colomer , Christian Deppe , Holger Boche , Andreas Winter

Given a general channel, we first formulate the idetification capacity problem as well as the resolvability problem with input cost constraint in as the general form as possible, along with relevant fundamental theorems. Next, we establish…

概率论 · 数学 2007-05-23 Te Sun Han

We investigate the Peak-Power Limited (PPL) Additive White Gaussian Noise (AWGN) channels in which the signal is band-limited, and its instantaneous power cannot exceed the power P. This model is relevant to many communication systems;…

信息论 · 计算机科学 2024-12-10 Michael Peleg , Shlomo Shamai

We consider the additive white Gaussian noise channels. We prove that the error probability of decoding tends to one exponentially for rates above the capacity and derive the optimal exponent function. We shall demonstrate that the…

信息论 · 计算机科学 2017-02-07 Yasutada Oohama

We consider covert communication, i.e., hiding the presence of communication from an adversary for multiple-input multiple-output (MIMO) additive white Gaussian noise (AWGN) channels. We characterize the maximum covert coding rate under a…

信号处理 · 电气工程与系统科学 2021-01-25 Ahmed Bendary , Amr Abdelaziz , C. Emre Koksal

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

We derive lower and upper bounds on the identification capacity of inverse Gaussian channels, a fundamental model for molecular communications in fluid environments. The analysis considers deterministic encoding schemes under a peak time…

信息论 · 计算机科学 2026-05-08 Mohammad Javad Salariseddigh

This paper investigates the maximal secret communication rate over a wiretap channel subject to reliability and secrecy constraints at a given blocklength. New achievability and converse bounds are derived, which are uniformly tighter than…

信息论 · 计算机科学 2017-06-14 Wei Yang , Rafael F. Schaefer , H. Vincent Poor

In this paper, we derive upper and lower bounds as well as a simple closed-form approximation for the capacity of the continuous-time, bandlimited, additive white Gaussian noise channel in a three-dimensional free-space electromagnetic…

信息论 · 计算机科学 2017-02-27 Richard J. Barton

This work establishes that the physical layer can be used to perform information-theoretic authentication in additive white Gaussian noise channels, as long as the adversary is not omniscient. The model considered consists of an encoder,…

信息论 · 计算机科学 2021-11-12 Eric Graves , Allison Beemer , Jorg Kliewer , Oliver Kosut , Paul Yu

We consider communication over the AWGN channel with a transmitter whose battery is recharged with RF energy transfer at random times known to the receiver. We assume that the recharging process is i.i.d. Bernoulli. We characterize the…

信息论 · 计算机科学 2015-06-10 Dor Shaviv , Ayfer Ozgur

The channel capacity theorem for additive white Gaussian noise channel (AWGN), widely known as the Shannon-Hartley Law, expresses the information capacity of a channel bandlimited in the conventional Fourier domain in terms of the…

信息论 · 计算机科学 2009-01-29 Kamalesh Kumar Sharma

This paper studies the second-order asymptotics of coding rates for the discrete memoryless multiple-access channel with a fixed target error probability. Using constant-composition random coding, coded time-sharing, and a variant of…

信息论 · 计算机科学 2014-11-18 Jonathan Scarlett , Alfonso Martinez , Albert Guillén i Fàbregas

This paper shows that, under the average error probability formalism, the third-order term in the normal approximation for the additive white Gaussian noise channel with a maximal or equal power constraint is at least $\frac{1}{2} \log n +…

信息论 · 计算机科学 2015-04-21 Vincent Y. F. Tan , Marco Tomamichel

Lattice coding and decoding have been shown to achieve the capacity of the additive white Gaussian noise (AWGN) channel. This was accomplished using a minimum mean-square error scaling and randomization to transform the AWGN channel into a…

信息论 · 计算机科学 2013-08-08 Charles H. Swannack , Uri Erez , Gregory W. Wornell