GLOBECOM 2020 - 2020 IEEE Global Communications Conference 2020
DOI: 10.1109/globecom42002.2020.9322436
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Fast SD-Hamming Decoding in FPGA for High-Speed Concatenated FEC for Optical Communication

Abstract: In this paper, we consider fast decoding of soft-decision (SD) Hamming codes as inner codes in concatenated forward error-correction (FEC) schemes for high-speed optical communication. The goal is single FPGA implementations at speeds of 400 Gb/s and beyond. A low complexity maximum a posteriori (MAP) probability decoding is applied to a (128,120) Hamming code. Chase decoding of a (128,119) Hamming code is also implemented. The VHDL designs for both decoding schemes are presented. The FEC performance and FPGA … Show more

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Cited by 3 publications
(2 citation statements)
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“…a Chase decoder [36]. In this paper, we adopt the Chase implementation from [37], which finds the six most unreliable candidate positions for flipping and corrects up to four errors. The (239, 255) staircase code with a sliding window decoder of W = 5, I sc = 14, and BER threshold of P sc = 5 × 10 −3 is used as outer code.…”
Section: Zr Fecmentioning
confidence: 99%
“…a Chase decoder [36]. In this paper, we adopt the Chase implementation from [37], which finds the six most unreliable candidate positions for flipping and corrects up to four errors. The (239, 255) staircase code with a sliding window decoder of W = 5, I sc = 14, and BER threshold of P sc = 5 × 10 −3 is used as outer code.…”
Section: Zr Fecmentioning
confidence: 99%
“…Though FPGAs are frequently utilized to achieve low-latency forward error correction encoding/decoding in high-speed network communication [17], existing FPGA-based erasure coding acceleration solutions are primarily validated through simulation or in standalone modes [18]. In actual distributed storage systems, challenges related to communication reliability and handling large data blocks persist.…”
Section: Introductionmentioning
confidence: 99%