Training sequence determining method and related device
AssigneeHuawei Technologies Co., Ltd.
InventorXuming Wu
Life of this patent
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Abstract
This application provides a training sequence determining method and a related device. The method in embodiments of this application includes: An ONU receives a first message sent by an OLT. Then, the ONU determines a target training sequence based on the first message, where the target training sequence is used to determine a working parameter of an equalizer in the OLT. Further, the ONU generates a first data frame including the target training sequence. In this application, the OLT may perform training based on the received target training sequence to determine the working parameter of the equalizer in the OLT.
Claims19
A method, comprising:
- receiving, by an optical network unit (ONU), a first message sent by an optical line terminal (OLT), wherein a first field in the first message comprises an original sequence;
- receiving, by the ONU, a second message sent by the OLT;
- generating, by the ONU, a first pseudo-random sequence by using a pseudo-random algorithm based on the original sequence, wherein the first pseudo-random sequence is used as a target training sequence, and the target training sequence is used to determine a working parameter of an equalizer in the OLT;
- generating, by the ONU, a first data frame, wherein the first data frame comprises the target training sequence;
- and
- sending, by the ONU, the first data frame to the OLT based on an indication of the second message.
A method, comprising:
- sending, by an optical line terminal (OLT), a first message and a second message to an optical network unit (ONU), wherein a first field in the first message comprises an original sequence, a first pseudo-random sequence is generated by the ONU by using a pseudo-random algorithm based on the original sequence, the first pseudo-random sequence is used as a target training sequence, and a first data frame is generated by the ONU, and wherein the first data frame comprises the target training sequence;
- receiving, by the OLT, the first data frame sent by the ONU, wherein the first data frame is sent by the ONU based on an indication of the second message;
- and
- using, by the OLT, the target training sequence to determine a working parameter of an equalizer in the OLT.
An optical network unit (ONU), comprising:
- a processor and an optical transceiver, wherein the processor and the optical transceiver are connected to each other, and the processor is configured to:
- receive a first message sent by an optical line terminal (OLT), wherein a first field in the first message comprises an original sequence;
- receive a second message sent by the OLT;
- generate a first pseudo-random sequence by using a pseudo-random algorithm based on the original sequence, wherein the first pseudo-random sequence is used as a target training sequence, and the target training sequence is used to determine a working parameter of an equalizer in the OLT;
- generate a first data frame, wherein the first data frame comprises the target training sequence;
- and
- send the first data frame to the OLT based on an indication of the second message.
An optical line terminal (OLT), comprising:
- a processor and an optical transceiver, wherein the processor and the optical transceiver are connected to each other, and the processor is configured to:
- send a first message and a second message to an optical network unit (ONU), wherein a first field in the first message comprises an original sequence, a first pseudo-random sequence is generated by the ONU by using a pseudo-random algorithm based on the original sequence, the first pseudo-random sequence is used as a target training sequence, and a first data frame is generated by the ONU, and wherein the first data frame comprises the target training sequence;
- and
- receive the first data frame, wherein the first data frame is sent by the ONU based on an indication of the second message, and use the target training sequence to determine a working parameter of an equalizer in the OLT.
Dependencies are inferred from the claim text.