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A discrete-time Wiener phase noise channel with an integrate-and-dump multi-sample receiver is studied. An upper bound to the capacity with an average input power constraint is derived, and a high signal-to-noise ratio (SNR) analysis is…

信息论 · 计算机科学 2016-11-17 Luca Barletta , Gerhard Kramer

The discrete-time Wiener phase noise channel with an integrate-and-dump multi-sample receiver is studied. A novel outer bound on the capacity with an average input power constraint is derived as a function of the oversampling factor. This…

信息论 · 计算机科学 2017-05-24 Luca Barletta , Stefano Rini

A discrete-time Wiener phase noise channel model is introduced in which multiple samples are available at the output for every input symbol. A lower bound on the capacity is developed. At high signal-to-noise ratio (SNR), if the number of…

信息论 · 计算机科学 2014-05-13 Hassan Ghozlan , Gerhard Kramer

In this paper, the capacity of the additive white Gaussian noise (AWGN) channel, affected by time-varying Wiener phase noise is investigated. Tight upper and lower bounds on the capacity of this channel are developed. The upper bound is…

信息论 · 计算机科学 2015-09-22 M. Reza Khanzadi , Rajet Krishnan , Johan Söder , Thomas Eriksson

A waveform channel is considered where the transmitted signal is corrupted by Wiener phase noise and additive white Gaussian noise. A discrete-time channel model that takes into account the effect of filtering on the phase noise is…

信息论 · 计算机科学 2017-08-15 Hassan Ghozlan , Gerhard Kramer

The capacity of the discrete-time channel affected by both additive Gaussian noise and Wiener phase noise is studied. Novel inner and outer bounds are presented, which differ of at most $6.65$ bits per channel use for all channel…

信息论 · 计算机科学 2017-01-19 Luca Barletta , Stefano Rini

Consider a waveform channel where the transmitted signal is corrupted by Wiener phase noise and additive white Gaussian noise (AWGN). A discrete-time channel model that takes into account the effect of filtering on the phase noise is…

信息论 · 计算机科学 2013-01-30 Hassan Ghozlan , Gerhard Kramer

In this paper, the capacity of the oversampled Wiener phase noise (OWPN) channel is investigated. The OWPN channel is a discrete-time point-to-point channel with a multi-sample receiver in which the channel output is affected by both…

信息论 · 计算机科学 2020-01-22 Luca Barletta , Stefano Rini

We present bounds and a closed-form high-SNR expression for the capacity of multiple-antenna systems affected by Wiener phase noise. Our results are developed for the scenario where a single oscillator drives all the radio-frequency…

信息论 · 计算机科学 2016-11-17 Giuseppe Durisi , Alberto Tarable , Christian Camarda , Rahul Devassy , Guido Montorsi

The capacity of a discrete-time channel with correlated phase noises is investigated. In particular, the electro-optic frequency comb system is considered, where the phase noise of each subchannel is a combination of two independent Wiener…

信息论 · 计算机科学 2025-07-15 Mohammad Farsi , Hamdi Joudeh , Gabriele Liga , Alex Alvarado , Magnus Karlsson , Erik Agrell

This paper derives upper and lower bounds on the capacity of the multiple-input single-output free-space optical intensity channel with signal-independent additive Gaussian noise subject to both an average-intensity and a peak-intensity…

信息论 · 计算机科学 2017-10-26 Stefan M. Moser , Ligong Wang , Michèle Wigger

A waveform channel is considered where the transmitted signal is corrupted by Wiener phase noise and additive white Gaussian noise (AWGN). A discrete-time channel model is introduced that is based on a multi-sample receiver. Tight lower…

信息论 · 计算机科学 2013-03-28 Hassan Ghozlan , Gerhard Kramer

The capacity of a point-to-point discrete-time multi-input-multiple-output (MIMO) channel with phase uncertainty (MIMO phase noise channel) is still open. As a matter of fact, even the pre-log (multiplexing gain) of the capacity in the high…

信息论 · 计算机科学 2016-11-09 Sheng Yang , Shlomo Shamai

This paper studies the capacity of a general multiple-input multiple-output (MIMO) free-space optical intensity channel under a per-input-antenna peak-power constraint and a total average-power constraint over all input antennas. The focus…

信息论 · 计算机科学 2020-02-04 Longguang Li , Stefan M. Moser , Ligong Wang , Michèle Wigger

In this work, novel upper and lower bounds for the capacity of channels with arbitrary constraints on the support of the channel input symbols are derived. As an immediate practical application, the case of multiple-input multiple-output…

信息论 · 计算机科学 2017-09-01 Alex Dytso , Mario Goldenbaum , Shlomo Shamai , H. Vincent Poor

An upper bound on the capacity of a cascade of nonlinear and noisy channels is presented. The cascade mimics the split-step Fourier method for computing waveform propagation governed by the stochastic generalized nonlinear Schroedinger…

信息论 · 计算机科学 2015-04-24 Gerhard Kramer , Mansoor I. Yousefi , Frank R. Kschischang

The capacity of multiple-input multiple-output additive white Gaussian noise channels is investigated under peak amplitude constraints on the norm of the input vector. New insights on the capacity-achieving input distribution are presented.…

信息论 · 计算机科学 2021-05-06 Antonino Favano , Marco Ferrari , Maurizio Magarini , Luca Barletta

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.…

Channel capacity bounds are derived for a point-to-point indoor visible light communications (VLC) system with signal-dependent Gaussian noise. Considering both illumination and communication, the non-negative input of VLC is constrained by…

信息论 · 计算机科学 2020-11-03 Jin-Yuan Wang , Xian-Tao Fu , Rong-Rong Lu , Jun-Bo Wang , Min Lin , Julian Cheng

Flat-fading channels that are correlated in time are considered under peak and average power constraints. For discrete-time channels, a new upper bound on the capacity per unit time is derived. A low SNR analysis of a full-scattering vector…

信息论 · 计算机科学 2007-07-13 Vignesh Sethuraman , Bruce Hajek
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