公开(公告)号：US20240129653A1

公开(公告)日：2024-04-18

申请号：US18489352

申请日：2023-10-18

Applicant: Nokia Solutions and Networks Oy

Inventor： Xiao Feng HU ,  Dong Xu ZHANG ,  Xiao An HUANG ,  Kai Bin ZHANG

IPC: H04Q11/00 ,  H04B10/50

CPC classification number: H04Q11/0067 ,  H04B10/503 ,  H04Q2011/0088

Abstract: An optical network unit is configured to send a plurality of optical signals with different wavelengths to an optical line terminal. The optical signals in the plurality of optical signals carry indicating information. The indicating information is used to indicate the wavelength serial number of the optical signal and the temperature information of the laser chip when the optical signal is generated. The optical unit is further configured to receive temperature adjustment information from the optical line terminal; and adjust, based on the temperature adjustment information, the emission wavelength of the laser by adjusting the temperature of the laser chip.

公开(公告)号：US20240311633A1

公开(公告)日：2024-09-19

申请号：US18605185

申请日：2024-03-14

Applicant: Nokia Solutions and Networks Oy

Inventor： Xiao An HUANG ,  Dong Xu ZHANG ,  Xiao Feng HU ,  Kai Bin ZHANG

IPC: G06N3/08 ,  G06N3/049

CPC classification number: G06N3/08 ,  G06N3/049

Abstract: Embodiments of the present disclosure relate to devices, methods, apparatus, and medium for recurrent spiking neural network based equalization and demapping. A first communication device is configured to: obtain at least one parameter for a recurrent spiking neural network at the first communication device, wherein the at least one parameter is generated based on channel condition information between the first communication device and a second communication device; configure the recurrent spiking neural network based on the at least one parameter; and perform equalization and demapping on a signal received from the second communication device based on the recurrent spiking neural network. In this way, embodiments of the present disclosure provide a method for recurrent spiking neural network based equalization and demapping, thereby implementing a solution of a low power consumption joint equalization and demapping.