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  • Abdullah S. Karar ,
  • Zaher Al-Barakah ,
  • Raymond Ghandour ,
  • Wael Hosny Fouad Aly ,
  • Zeynep Nilhan Gürkan ,
  • Bilel Neji ,
  • Samer AlKork ,
  • Julien Moussa H. Barakat
Abdullah S. Karar
American University of the Middle East, American University of the Middle East

Corresponding Author:[email protected]

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Zaher Al-Barakah
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Raymond Ghandour
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Wael Hosny Fouad Aly
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Zeynep Nilhan Gürkan
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Bilel Neji
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Samer AlKork
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Julien Moussa H. Barakat
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Abstract

In this letter, we demonstrate joint electronic dispersion compensation (EDC) at the transmitter (Tx), using two distinct Gerchberg-Saxton (GS) based approaches, and at the receiver (Rx), using a functional link neural network (FLNN) equalizer for intensity modulation and direct detection (IM/DD) transmission. The first Tx approach utilizes the standard iterative GS algorithm, which piratically mitigates linear and nonlinear  sources of inter-symbol interference (ISI).  The second Txc approach only compensates for the linear power fading effect through implementing a GS based finite impulse response (FIR) filter. The Rx FLNN is utilized for nonlinear system identification and subsequent post-equalization mitigating both residual linear and uncompensated nonlinear sources of ISI. The FLNN nonlinear taps resulting from the trigonometric functional expansion block are optimized at the symbol-rate with the least mean square (LMS) algorithm. The Tx-FIR and Rx-FLNN enable 112 Gb/s non-return to zero (NRZ) on-off keying (OOK) transmission over 80 km of single mode fiber (SMF).
May 2023Published in Optics Communications volume 534 on pages 129325. 10.1016/j.optcom.2023.129325