Capacity of Gaussian Arbitrarily-Varying Fading Channels

Fatemeh Hosseinigoki, Oliver Kosut

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work, we explore the capacity of point-to-point fast fading channels in the presence of an adversary. We assume that the fading gains are known at the decoder; they may also be known to the encoder and/or adversary. If the adversary does not know the gains, then the capacity is equal to the capacity of the corresponding fading channel with the noise variance raised by the power of the jammer. If the gains are available at the jammer, then the capacity is determined by the worst-case noise variance as a function of the channel gain subject to the jammer's power constraint; if the jammer has enough power, then it can imitate the legitimate user's channel, causing the capacity to drop to zero.

Original languageEnglish (US)
Title of host publication2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728111513
DOIs
StatePublished - Apr 16 2019
Event53rd Annual Conference on Information Sciences and Systems, CISS 2019 - Baltimore, United States
Duration: Mar 20 2019Mar 22 2019

Publication series

Name2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019

Conference

Conference53rd Annual Conference on Information Sciences and Systems, CISS 2019
CountryUnited States
CityBaltimore
Period3/20/193/22/19

Fingerprint

Fading channels

Keywords

  • active adversary
  • capacity
  • fast fading channel
  • Gaussian arbitrarily-varying channel

ASJC Scopus subject areas

  • Information Systems

Cite this

Hosseinigoki, F., & Kosut, O. (2019). Capacity of Gaussian Arbitrarily-Varying Fading Channels. In 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019 [8693030] (2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2019.8693030

Capacity of Gaussian Arbitrarily-Varying Fading Channels. / Hosseinigoki, Fatemeh; Kosut, Oliver.

2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8693030 (2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hosseinigoki, F & Kosut, O 2019, Capacity of Gaussian Arbitrarily-Varying Fading Channels. in 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019., 8693030, 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019, Institute of Electrical and Electronics Engineers Inc., 53rd Annual Conference on Information Sciences and Systems, CISS 2019, Baltimore, United States, 3/20/19. https://doi.org/10.1109/CISS.2019.8693030
Hosseinigoki F, Kosut O. Capacity of Gaussian Arbitrarily-Varying Fading Channels. In 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8693030. (2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019). https://doi.org/10.1109/CISS.2019.8693030
Hosseinigoki, Fatemeh ; Kosut, Oliver. / Capacity of Gaussian Arbitrarily-Varying Fading Channels. 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019).
@inproceedings{6291666bacfc4848b7acc36e5270e17b,
title = "Capacity of Gaussian Arbitrarily-Varying Fading Channels",
abstract = "In this work, we explore the capacity of point-to-point fast fading channels in the presence of an adversary. We assume that the fading gains are known at the decoder; they may also be known to the encoder and/or adversary. If the adversary does not know the gains, then the capacity is equal to the capacity of the corresponding fading channel with the noise variance raised by the power of the jammer. If the gains are available at the jammer, then the capacity is determined by the worst-case noise variance as a function of the channel gain subject to the jammer's power constraint; if the jammer has enough power, then it can imitate the legitimate user's channel, causing the capacity to drop to zero.",
keywords = "active adversary, capacity, fast fading channel, Gaussian arbitrarily-varying channel",
author = "Fatemeh Hosseinigoki and Oliver Kosut",
year = "2019",
month = "4",
day = "16",
doi = "10.1109/CISS.2019.8693030",
language = "English (US)",
series = "2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019",

}

TY - GEN

T1 - Capacity of Gaussian Arbitrarily-Varying Fading Channels

AU - Hosseinigoki, Fatemeh

AU - Kosut, Oliver

PY - 2019/4/16

Y1 - 2019/4/16

N2 - In this work, we explore the capacity of point-to-point fast fading channels in the presence of an adversary. We assume that the fading gains are known at the decoder; they may also be known to the encoder and/or adversary. If the adversary does not know the gains, then the capacity is equal to the capacity of the corresponding fading channel with the noise variance raised by the power of the jammer. If the gains are available at the jammer, then the capacity is determined by the worst-case noise variance as a function of the channel gain subject to the jammer's power constraint; if the jammer has enough power, then it can imitate the legitimate user's channel, causing the capacity to drop to zero.

AB - In this work, we explore the capacity of point-to-point fast fading channels in the presence of an adversary. We assume that the fading gains are known at the decoder; they may also be known to the encoder and/or adversary. If the adversary does not know the gains, then the capacity is equal to the capacity of the corresponding fading channel with the noise variance raised by the power of the jammer. If the gains are available at the jammer, then the capacity is determined by the worst-case noise variance as a function of the channel gain subject to the jammer's power constraint; if the jammer has enough power, then it can imitate the legitimate user's channel, causing the capacity to drop to zero.

KW - active adversary

KW - capacity

KW - fast fading channel

KW - Gaussian arbitrarily-varying channel

UR - http://www.scopus.com/inward/record.url?scp=85065168169&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85065168169&partnerID=8YFLogxK

U2 - 10.1109/CISS.2019.8693030

DO - 10.1109/CISS.2019.8693030

M3 - Conference contribution

T3 - 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019

BT - 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

ER -