Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

PoT quantization and rotational update mechanism for optimizing equalization in passive optical networks

Not Accessible

Your library or personal account may give you access

Abstract

We propose a low-complexity real-time equalization scheme for passive optical networks (PONs), which provides equalization with similar performance and ultra-low digital signal processing (DSP) resource usage compared to traditional schemes in experimental verification. With the help of the proposed scheme, FIR equalizers with multiple taps can be equivalent to equalizers with only two active taps, while other taps are quantified and stored, which can replace complex multiplications with simple shift operations. We introduce powers-of-two (PoT) non-uniform quantization technology to real-time transmission at the physical layer, which helps to save quantization precision and simplify multiplication complexity. We propose the rotational update mechanism (RUM), which solves the problem that the weight value after PoT non-uniform quantization is difficult to update. The proposed scheme with PoT and RUM greatly reduces the required hardware resources and power consumption, and the optical modules can use existing resources to support the additional number of taps required for higher baud rates. We verified the proposed scheme in decision-directed least mean square (DDLMS) equalization. The improved equalization scheme is implemented in the XCVU9P-FLGB2104-2-I Xilinx FPGA with a clock frequency of 230.4 MHz. The results show that the proposed equalization scheme can reduce up to 99.5% DSP resource usage compared to a normal DDLMS equalizer with 15 taps. We successfully realized 29.4912 Gbit/s PAM4 real-time IM/DD transmission over 25-km SSMF with a BER below the KP4 threshold utilizing the proposed DDLMS with PoT and RUM. The innovation of this paper lies in two aspects: (1) the introduction of the PoT quantization method in real-time equalization of PON transmission and (2) proposing RUM for real-time updating of weights in equalizers, which moves the quantification process from offline to real time, making the equalizers more robust for time-varying channels.

© 2024 Optica Publishing Group

Full Article  |  PDF Article
More Like This
Reduced Complexity Equalization for Coherent Long-Reach Passive Optical Networks [Invited]

Domaniç Lavery, Benn C. Thomsen, Polina Bayvel, and Seb J. Savory
J. Opt. Commun. Netw. 7(1) A16-A27 (2015)

Deterministic passive optical networking

Kostas Christodoulopoulos, Sarvesh Bidkar, Wolfram Lautenschlaeger, Thomas Pfeiffer, and Rene Bonk
J. Opt. Commun. Netw. 16(2) 180-192 (2024)

Simplified coherent optical network units for very-high-speed passive optical networks

Istvan Bence Kovacs, Md. Saifuddin Faruk, Pablo Torres-Ferrera, and Seb J. Savory
J. Opt. Commun. Netw. 16(7) C1-C10 (2024)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (14)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (3)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (16)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.