Huawei technologies co., ltd. (20240129758). CHANNEL ACCESS METHOD AND RELATED APPARATUS simplified abstract

CHANNEL ACCESS METHOD AND RELATED APPARATUS

Organization Name

huawei technologies co., ltd.

Inventor(s)

Ziyang Guo of Shenzhen (CN)

Peng Liu of Shenzhen (CN)

Jiajun Luo of Shenzhen (CN)

Xun Yang of Shenzhen (CN)

Yunbo Li of Shenzhen (CN)

CHANNEL ACCESS METHOD AND RELATED APPARATUS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240129758 titled 'CHANNEL ACCESS METHOD AND RELATED APPARATUS

Simplified Explanation

The method described in the patent application involves an access point (AP) receiving action information separately reported by multiple stations (STAs), using this information to determine a training result of a neural network for each STA, and then sending the training result back to the corresponding STA. This process allows for improved prediction capabilities of the neural networks and enhances the ability of each STA to predict the channel access behavior of other STAs, ultimately leading to improved system throughput and reduced communication latency.

• Explanation of the patent:

 * AP receives action information from multiple STAs.
 * Uses this information to determine training results for neural networks of each STA.
 * Sends the training results back to the corresponding STAs.
 * Improves prediction capabilities of neural networks and enhances STA's ability to predict channel access behavior.

1. 1. 1. Potential Applications

This technology could be applied in wireless communication systems, IoT devices, and network optimization algorithms.

1. 1. 1. Problems Solved

1. Improved prediction capabilities of neural networks. 2. Enhanced ability of STAs to predict channel access behavior.

1. 1. 1. Benefits

1. Improved system throughput. 2. Reduced communication latency.

1. 1. 1. Potential Commercial Applications
         1. Enhancing Wireless Communication Systems with Advanced Neural Networks

1. 1. 1. Possible Prior Art

There may be prior art related to using multiple pieces of information from different sources to improve prediction capabilities in neural networks.

1. 1. 1. 1. Unanswered Questions
         2. How does this method handle potential conflicts between the action information reported by different STAs?

The patent application does not specify how conflicts in the reported action information are resolved to determine the training results accurately.

1. 1. 1. 1. What impact does the number of STAs reporting action information have on the overall system performance?

The patent application does not address how the system performance scales with an increasing number of STAs reporting action information.

Original Abstract Submitted

in the method, an access point ap receives action information separately reported by n stations stas, where n pieces of action information are used to determine a training result of a first neural network of each sta, and n is a positive integer. the ap determines the training result of the first neural network of each sta based on the n pieces of action information, and sends the training result of the first neural network of each sta to the corresponding sta. the training result of the first neural network of each sta is determined based on the action information reported by the n stas, instead of only the action information of the sta. this can improve a prediction capability of the first neural network, help improve a capability of each sta to predict channel access behavior of another sta, and improve a system throughput and reduce a communication latency.