Huawei technologies co., ltd. (20240349331). COMMUNICATION METHOD AND APPARATUS simplified abstract
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COMMUNICATION METHOD AND APPARATUS
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Inventor(s)
COMMUNICATION METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240349331 titled 'COMMUNICATION METHOD AND APPARATUS
The abstract of the patent application describes a procedure where a machine learning entity implements a backoff mechanism on the primary link based on a backoff counter. When the backoff counter reaches 0, the entity sends a first PPDU on each of the first links in a set of k links, including the primary link and k-1 non-primary links. The first non-primary link is in an idle state before the backoff counter reaches 0.
- Simplified Explanation:
- Machine learning entity uses backoff procedure on primary link based on backoff counter. - When backoff counter is 0, entity sends first PPDU on k first links, including primary and non-primary links. - Non-primary link is idle before backoff counter hits 0.
Key Features and Innovation: - Utilization of backoff mechanism in machine learning entity. - Sending first PPDU on multiple links based on backoff counter. - Efficient utilization of idle time on non-primary links.
Potential Applications: - Wireless communication systems. - Network optimization algorithms. - IoT devices with multiple communication links.
Problems Solved: - Efficient utilization of network resources. - Reduction of collisions in wireless communication. - Optimization of data transmission in multi-link systems.
Benefits: - Improved network performance. - Enhanced data transmission efficiency. - Reduced interference in wireless networks.
Commercial Applications: - Network equipment manufacturers. - Telecommunication companies. - IoT device manufacturers.
Questions about the Technology: 1. How does the backoff mechanism improve network efficiency? 2. What are the advantages of sending PPDU on multiple links simultaneously?
Frequently Updated Research: - Ongoing studies on optimizing backoff procedures in wireless networks. - Research on enhancing machine learning algorithms for network optimization.
Original Abstract Submitted
a ml entity performs a backoff procedure of the primary link based on the backoff counter of the primary link; and when a count value of the backoff counter is 0, the ml entity sends a first ppdu on each first link in k first links, where the k first links include the primary link and k−1 first nonprimary links, and the first nonprimary link is in an idle state in a first inter-frame space before a time point at which the count value of the backoff counter decreases to 0.
