Beam Configuration Sharing to Cut Multi-AP Training Overhead
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Solution Overview
Problem
In densely deployed communication networks, the overhead of beam training increases exponentially due to interference among training beams of different access points, leading to inefficiency and high resource consumption.
Innovation Solution
A method where a second access point generates target beam configuration information based on target information transmitted by a first communication node, eliminating the need for independent beam training, thereby reducing overhead and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If independent beam training is performed by each access point, then beam configuration accuracy is improved, but beam training overhead increases exponentially
Solution Approach 1:
The patent combines beam training operations across multiple access points by having the second access point reuse the first access point's beam training results. Instead of each access point performing independent beam training, they share beam configuration information, merging the training process to reduce redundant operations while maintaining configuration accuracy.
Solution Approach 2:
The first access point performs beam training in advance and shares the results with the second access point. The second access point then uses this preliminary beam configuration information to determine its own beam settings without performing complete independent beam training, thus reducing overhead while maintaining accuracy.
2Reliability
If orthogonal wireless resources are allocated to avoid interference during beam training, then interference is reduced, but resource consumption increases
Solution Approach 1:
The patent merges the beam training resource allocation across multiple access points. By having the second access point reuse the first access point's beam training results and configuration information, the system combines resource usage rather than allocating separate orthogonal resources to each access point, reducing overall resource consumption while avoiding interference through coordinated configuration.
3Productivity
If beam training is performed by multiple access points in densely deployed networks, then system capacity is improved, but beam training latency increases
Solution Approach 1:
The first access point performs beam training in advance and shares the results with the second access point. This preliminary action allows the second access point to skip the time-consuming beam training process and directly use the shared beam configuration information, significantly reducing latency while enabling multiple access points to serve users collaboratively for improved system capacity.
Solution Approach 2:
The second access point copies the beam configuration information from the first access point rather than performing independent beam training. This copying approach allows rapid deployment of beam configurations across multiple access points, reducing latency while maintaining the ability to serve multiple users through collaborative multi-AP operation.
Data Source
AI summary
Embodiments of the present application provide a beam configuration method and apparatus, a storage medium, and a program product. The method comprises: acquiring target information transmitted by a first communication node for beam configuration; generating target beam configuration information according to the target information; and performing beam configuration according to the target beam configuration information.