H04L2025/03815

Training sequence transmission method and apparatus

This application provides a training sequence transmission method and apparatus. The method includes: A first AP broadcasts a trigger frame, where the trigger frame indicates a time sequence of separately sending channel sounding frames by N STAs, and N is an integer greater than 1. The first AP receives the channel sounding frames sequentially sent by the N STAs, where one channel sounding frame includes one or more training sequences. In this solution, only one trigger frame needs to be sent, so that the N STAs can be triggered to separately report channel sounding frames to M+1 APs. However, in the conventional technology, each AP needs to send one channel training request to each STA, that is, N?(M+1) channel training requests are sent in total, to trigger each STA to report a training sequence. Therefore, this solution can significantly reduce signaling overheads.

Method for improved synchronization between a transmitter and a receiver on a wireless network
12057970 · 2024-08-06 · ·

The present disclosure provides a method for estimating timing and/or frequency of a wireless signal; the method including the steps: receiving a digitally modulated signal; extracting a plurality of signal samples associated with a short training field (STF) of a PHY protocol data unit (PPDU) of an 802.11 frame; performing correlation operations on the plurality of signal samples to generate a predetermined number of correlation peaks; comparing the generated correlation peaks with a variable dynamic threshold; and calculating timing and/or frequency of the digitally modulated signal using the outcome of the comparing step.

Training assisted joint equalization
10148465 · 2018-12-04 · ·

Throughput between a transmitter and a receiver is increased by performing a three-stage joint channel optimization in which training sequences are used for calculating a pre-equalization estimate in the first stage, a look up table for pre-distortion in the second stage and a further updating the pre-equalization estimate and the look up table based on a third stage in which the training sequence used for the updating is pre-equalized and pre-distorted using previously calculated values prior to transmitting from the transmitter to the receiver.

PHASED BURST MODE RECEIVER EQUALIZATION TRAINING

A phased approach to training of an upstream burst mode receiver equalizer is disclosed that proceeds incrementally through modulation schemes requiring increasing levels of equalization in a manner where the equalizer maintains the capability to accurately recover data transmitted during each training phase. The phased approach includes an initial training phase (one or more upstream bursts) using a simple modulation format, one or more intermediate phases of different modulation schemes, and a final training phase using the PON-defined (high) line rate upstream modulation format. Equalizer settings generated during the initial phase are used as a starting point for the equalization process in the next training phase, and so on, until the equalizer training reaches the final phase where the ONU uses the PON-defined upstream data rate and the burst mode equalizer is updated accordingly.

COMMUNICATION DEVICE, COMMUNICATION METHOD THEREOF, INFORMATION PROCESSING DEVICE, CONTROL METHOD THEREOF, AND COMPUTER-READABLE STORAGE MEDIUM
20240305505 · 2024-09-12 ·

A communication device communicates a radio frame including a preamble and a data field of a physical layer (PHY). The preamble includes an L-STF (Legacy Short Training Field), an L-LTF (Legacy Long Training Field), an L-SIG (Legacy Signal Field), an EHT-SIG-A (Extremely High Throughput Signal A Field), an EHT-STF, and an EHT-LTF, and the EHT-SIG-A includes a field indicating a standard that the radio frame complies with.

Phased burst mode receiver equalization training
12088439 · 2024-09-10 ·

A phased approach to training of an upstream burst mode receiver equalizer is disclosed that proceeds incrementally through modulation schemes requiring increasing levels of equalization in a manner where the equalizer maintains the capability to accurately recover data transmitted during each training phase. The phased approach includes an initial training phase (one or more upstream bursts) using a simple modulation format, one or more intermediate phases of different modulation schemes, and a final training phase using the PON-defined (high) line rate upstream modulation format. Equalizer settings generated during the initial phase are used as a starting point for the equalization process in the next training phase, and so on, until the equalizer training reaches the final phase where the ONU uses the PON-defined upstream data rate and the burst mode equalizer is updated accordingly.

Method for improved synchronization between a transmitter and a receiver on a wireless network
12119960 · 2024-10-15 · ·

The present disclosure provides a method for estimating timing and/or frequency of a wireless signal; the method including the steps: receiving a digitally modulated signal; extracting a plurality of signal samples associated with a short training field (STF) of a PHY protocol data unit (PPDU) of an 802.11 frame; performing correlation operations on the plurality of signal samples to generate a predetermined number of correlation peaks; comparing the generated correlation peaks with a variable dynamic threshold; and calculating timing and/or frequency of the digitally modulated signal using the outcome of the comparing step.

ARTIFICIAL INTELLIGENCE MODEL TRAINING FOR IDLE MODE ASSISTANCE
20240356785 · 2024-10-24 ·

A radio access network node, or nodes, may determine learning model configuration information to use to train a learning model corresponding to a user equipment in idle mode. A node may broadcast a training configuration resource indication in an information block indicative of a resource usable to broadcast a learning model training configuration or indicative of a resource usable to broadcast a training result. While idle, a user equipment may decode a training configuration according to the training configuration resource indication and perform a training action indicated in the training configuration. A learning model may be trained, based on the training action, while the user equipment is idle. While idle, the user equipment may use a model trained while the user equipment is idle to estimate a radio parameter and transmit the estimated radio parameter to a node to be used to establish a connection with the node.

Communication device, communication method, and computer-readable storage medium
12155521 · 2024-11-26 · ·

A communication device communicates a physical (PHY) frame including a preamble and a data field. The preamble includes a Legacy Short Training Field (L-STF), a Legacy Long Training Field (L-LTF), a Legacy Signal Field (L-SIG), an EHT Signal Field (EHT-SIG-A), an EHT Short Training Field (EHT-STF), and an EHT Long Training Field (EHT-LTF), and the EHT-SIG-A includes fields indicating a modulation scheme and information indicating which one of a UC (Uniform Constellation) scheme and an NUC (Non Uniform Constellation) scheme is used as the modulation scheme, and the data field includes data that has undergone modulation corresponding to the modulation scheme and the information indicated by the fields.

Multi-rate bidirectional transmission system
12160330 · 2024-12-03 · ·

The present invention provides a multi-rate bidirectional transmission system. A sending device and a receiving device transmit data in a bidirectional way through a cable. The multi-rate bidirectional transmission system communicates with a reverse configuration packet by sending a forward configuration packet at a preset rate in a time-division manner, selects a serial rate jointly supported by the sending device and the receiving device, and selects a training sequence length. Then, the sending device and the receiving device perform equalization training at the selected serial rate with the selected training sequence length, thus avoiding searching the serial rate and presetting the training sequence length in the worst case, thus simplifying the design and improving the link training speed.