TY - JOUR
T1 - Capacity Lower Bounds of the Noncentral Chi-Channel with Applications to Soliton Amplitude Modulation
AU - Shevchenko, Nikita A.
AU - Derevyanko, Stanislav A.
AU - Prilepsky, Jaroslaw E.
AU - Alvarado, Alex
AU - Bayvel, Polina
AU - Turitsyn, Sergei K.
N1 - Funding Information:
Manuscript received April 1, 2017; revised September 8, 2017 and January 31, 2018; accepted February 12, 2018. Date of publication February 20, 2018; date of current version July 13, 2018. Research supported by the Engineering and Physical Sciences Research Council (EPSRC) project UNLOC (EP/J017582/1), by the Netherlands Organisation for Scientific Research (NWO) via the VIDI Grant ICONIC (project number 15685), and a UCL Graduate Research Scholarship (GRS). The associate editor coordinating the review of this paper and approving it for publication was H. Wymeersch. (Corresponding author: Alex Alvarado.) N. A. Shevchenko and P. Bayvel are with the Optical Networks Group, Department of Electronic and Electrical Engineering, University College London, London WC1E 7JE, U.K. (e-mail: mykyta.shevchenko.13@ucl.ac.uk).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - The channel law for amplitude-modulated solitons transmitted through a nonlinear optical fiber with ideal distributed amplification and a receiver based on the nonlinear Fourier transform is a noncentral chi-distribution with 2n degrees of freedom, where n=2 and n=3 correspond to the single- and dual-polarisation cases, respectively. In this paper, we study the capacity lower bounds of this channel under an average power constraint in bits per channel use. We develop an asymptotic semi-analytic approximation for a capacity lower bound for arbitrary n and a Rayleigh input distribution. It is shown that this lower bound grows logarithmically with signal-to-noise ratio (SNR), independently of the value of n. Numerical results for other continuous input distributions are also provided. A half-Gaussian input distribution is shown to give larger rates than a Rayleigh input distribution for n=1,2,3. At an SNR of 25 dB, the best lower bounds we developed are approximately 3.68 bit per channel use. The practically relevant case of amplitude shift-keying (ASK) constellations is also numerically analyzed. For the same SNR of 25 dB, a 16-ASK constellation yields a rate of approximately 3.45 bit per channel use.
AB - The channel law for amplitude-modulated solitons transmitted through a nonlinear optical fiber with ideal distributed amplification and a receiver based on the nonlinear Fourier transform is a noncentral chi-distribution with 2n degrees of freedom, where n=2 and n=3 correspond to the single- and dual-polarisation cases, respectively. In this paper, we study the capacity lower bounds of this channel under an average power constraint in bits per channel use. We develop an asymptotic semi-analytic approximation for a capacity lower bound for arbitrary n and a Rayleigh input distribution. It is shown that this lower bound grows logarithmically with signal-to-noise ratio (SNR), independently of the value of n. Numerical results for other continuous input distributions are also provided. A half-Gaussian input distribution is shown to give larger rates than a Rayleigh input distribution for n=1,2,3. At an SNR of 25 dB, the best lower bounds we developed are approximately 3.68 bit per channel use. The practically relevant case of amplitude shift-keying (ASK) constellations is also numerically analyzed. For the same SNR of 25 dB, a 16-ASK constellation yields a rate of approximately 3.45 bit per channel use.
KW - Achievable information rates
KW - channel capacity
KW - mutual information
KW - nonlinear Fourier transform
KW - nonlinear optical fibres
KW - optical solitons
UR - http://www.scopus.com/inward/record.url?scp=85042376744&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2018.2808286
DO - 10.1109/TCOMM.2018.2808286
M3 - Article
AN - SCOPUS:85042376744
SN - 1558-0857
VL - 66
SP - 2978
EP - 2993
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 7
ER -