Log-log growth of channel capacity for nondispersive nonlinear optical fiber channel in intermediate power range

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Log-log growth of channel capacity for nondispersive nonlinear optical fiber channel in intermediate power range. / Terekhov, I. S.; Reznichenko, A. V.; Kharkov, Ya A. и др.

в: Physical Review E, Том 95, № 6, 062133, 26.06.2017, стр. 062133.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

BibTeX

@article{ebddc7f947b849f58ce0a08daf61b6c0,

title = "Log-log growth of channel capacity for nondispersive nonlinear optical fiber channel in intermediate power range",

abstract = "We consider a model nondispersive nonlinear optical fiber channel with an additive Gaussian noise. Using Feynman path-integral technique, we find the optimal input signal distribution maximizing the channel's per-sample mutual information at large signal-to-noise ratio in the intermediate power range. The optimal input signal distribution allows us to improve previously known estimates for the channel capacity. We calculate the output signal entropy, conditional entropy, and per-sample mutual information for Gaussian, half-Gaussian, and modified Gaussian input signal distributions. We demonstrate that in the intermediate power range the capacity (the per-sample mutual information for the optimal input signal distribution) is greater than the per-sample mutual information for half-Gaussian input signal distribution considered previously as the optimal one. We also show that the capacity grows as loglogP in the intermediate power range, where P is the signal power.",

keywords = "LIMITS, COMMUNICATION, TRANSMISSION, AMPLIFIERS, SYSTEMS",

author = "Terekhov, {I. S.} and Reznichenko, {A. V.} and Kharkov, {Ya A.} and Turitsyn, {S. K.}",

note = "Publisher Copyright: {\textcopyright} 2017 American Physical Society.",

year = "2017",

month = jun,

day = "26",

doi = "10.1103/PhysRevE.95.062133",

language = "English",

volume = "95",

pages = "062133",

journal = "Physical Review E",

issn = "2470-0045",

publisher = "American Physical Society",

number = "6",

}

RIS

TY - JOUR

T1 - Log-log growth of channel capacity for nondispersive nonlinear optical fiber channel in intermediate power range

AU - Terekhov, I. S.

AU - Reznichenko, A. V.

AU - Kharkov, Ya A.

AU - Turitsyn, S. K.

PY - 2017/6/26

Y1 - 2017/6/26

N2 - We consider a model nondispersive nonlinear optical fiber channel with an additive Gaussian noise. Using Feynman path-integral technique, we find the optimal input signal distribution maximizing the channel's per-sample mutual information at large signal-to-noise ratio in the intermediate power range. The optimal input signal distribution allows us to improve previously known estimates for the channel capacity. We calculate the output signal entropy, conditional entropy, and per-sample mutual information for Gaussian, half-Gaussian, and modified Gaussian input signal distributions. We demonstrate that in the intermediate power range the capacity (the per-sample mutual information for the optimal input signal distribution) is greater than the per-sample mutual information for half-Gaussian input signal distribution considered previously as the optimal one. We also show that the capacity grows as loglogP in the intermediate power range, where P is the signal power.

AB - We consider a model nondispersive nonlinear optical fiber channel with an additive Gaussian noise. Using Feynman path-integral technique, we find the optimal input signal distribution maximizing the channel's per-sample mutual information at large signal-to-noise ratio in the intermediate power range. The optimal input signal distribution allows us to improve previously known estimates for the channel capacity. We calculate the output signal entropy, conditional entropy, and per-sample mutual information for Gaussian, half-Gaussian, and modified Gaussian input signal distributions. We demonstrate that in the intermediate power range the capacity (the per-sample mutual information for the optimal input signal distribution) is greater than the per-sample mutual information for half-Gaussian input signal distribution considered previously as the optimal one. We also show that the capacity grows as loglogP in the intermediate power range, where P is the signal power.

KW - LIMITS

KW - COMMUNICATION

KW - TRANSMISSION

KW - AMPLIFIERS

KW - SYSTEMS

UR - http://www.scopus.com/inward/record.url?scp=85021408281&partnerID=8YFLogxK

U2 - 10.1103/PhysRevE.95.062133

DO - 10.1103/PhysRevE.95.062133

M3 - Article

C2 - 28709237

AN - SCOPUS:85021408281

VL - 95

SP - 062133

JO - Physical Review E

JF - Physical Review E

SN - 2470-0045

IS - 6

M1 - 062133

ER -

ID: 9069597