30 research outputs found
Replacing the Soft FEC Limit Paradigm in the Design of Optical Communication Systems
The FEC limit paradigm is the prevalent practice for designing optical
communication systems to attain a certain bit-error rate (BER) without forward
error correction (FEC). This practice assumes that there is an FEC code that
will reduce the BER after decoding to the desired level. In this paper, we
challenge this practice and show that the concept of a channel-independent FEC
limit is invalid for soft-decision bit-wise decoding. It is shown that for low
code rates and high order modulation formats, the use of the soft FEC limit
paradigm can underestimate the spectral efficiencies by up to 20%. A better
predictor for the BER after decoding is the generalized mutual information,
which is shown to give consistent post-FEC BER predictions across different
channel conditions and modulation formats. Extensive optical full-field
simulations and experiments are carried out in both the linear and nonlinear
transmission regimes to confirm the theoretical analysis
Nonlinear Frequency-Division Multiplexing in the Focusing Regime
Achievable rates of the nonlinear frequency-division multiplexing (NFDM) and
wavelength-division multiplexing (WDM) subject to the same power and bandwidth
constraints are computed as a function of transmit power in the standard
single-mode fiber. NFDM achieves higher rates than WDM.Comment: Invited paper to be presented at The Optical Fiber Communications
Conference and Exposition (OFC), March 201
Why compensating fibre nonlinearity will never meet capacity demands
Current research efforts are focussed on overcoming the apparent limits of
communication in single mode optical fibre resulting from distortion due to
fibre nonlinearity. It has been experimentally demonstrated that this Kerr
nonlinearity limit is not a fundamental limit; thus it is pertinent to review
where the fundamental limits of optical communications lie, and direct future
research on this basis. This paper details recently presented results. The work
herein briefly reviews the intrinsic limits of optical communication over
standard single mode optical fibre (SMF), and shows that the empirical limits
of silica fibre power handling and transceiver design both introduce a
practical upper bound to the capacity of communication using SMF, on the order
of 1 Pbit/s. Transmission rates exceeding 1 Pbit/s are shown to be possible,
however, with currently available optical fibres, attempts to transmit beyond
this rate by simply increasing optical power will lead to an asymptotically
zero fractional increase in capacity.Comment: 4 pages, 2 figure
Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications
We investigate methods for experimental performance enhancement of
auto-encoders based on a recurrent neural network (RNN) for communication over
dispersive nonlinear channels. In particular, our focus is on the recently
proposed sliding window bidirectional RNN (SBRNN) optical fiber autoencoder. We
show that adjusting the processing window in the sequence estimation algorithm
at the receiver improves the reach of simple systems trained on a channel model
and applied "as is" to the transmission link. Moreover, the collected
experimental data was used to optimize the receiver neural network parameters,
allowing to transmit 42 Gb/s with bit-error rate (BER) below the 6.7%
hard-decision forward error correction threshold at distances up to 70km as
well as 84 Gb/s at 20 km. The investigation of digital signal processing (DSP)
optimized on experimental data is extended to pulse amplitude modulation with
receivers performing sliding window sequence estimation using a feed-forward or
a recurrent neural network as well as classical nonlinear Volterra
equalization. Our results show that, for fixed algorithm memory, the DSP based
on deep learning achieves an improved BER performance, allowing to increase the
reach of the system.Comment: Invited paper at the IEEE International Workshop on Signal Processing
Systems (SiPS) 202
Realising high sensitivity at 40 Gbit/s and 100 Gbit/s
We experimentally investigate modulation formats for realizing high data rate and high power sensitivity using coherent reception with low noise-figure optical preamplification. 40 Gbit/s PS-QPSK exhibits a sensitivity of 4.3 photons/bit while 100 Gbit/s PDM-QPSK exhibits a sensitivity of 5.3 photons/bit at 3.8×10-3 BER