Beamforming Weight Compression for Fronthaul Bandwidth Limits
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Solution Overview
Problem
The development speed of communication apparatuses lags behind the increasing demands of communication networks with multiple antennas and large bandwidths, leading to a bottleneck that restricts network advancement.
Innovation Solution
Implement dimension reduction compression on weight data used for beamforming to reduce data volume and bandwidth requirements in the fronthaul interface, enabling the communication apparatus to adapt to network development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the communication apparatus increases the quantity of antennas and streams to adapt to network development, then the wireless capability and data transmission capacity are improved, but the data amount of weight data increases, leading to higher fronthaul bandwidth requirements
Solution Approach 1:
The patent extracts only the essential information from the full weight data by performing dimension reduction compression. Instead of transmitting all weight data parameters, the system identifies and transmits only the most critical components that can be used to reconstruct the weight data at the receiving end, thereby reducing the data amount while preserving the necessary wireless capability.
Solution Approach 2:
The patent applies dimension reduction compression to transform the weight data from a high-dimensional space to a lower-dimensional space. By reducing the dimensionality of the weight data representation, the system significantly decreases the data amount that needs to be transmitted over the fronthaul interface, while still maintaining the ability to support multiple antennas and streams for high wireless capability.
2Productivity
If the communication apparatus supports larger bandwidth and higher stream counts, then the data transmission capacity increases, but the fronthaul interface bandwidth requirement becomes a bottleneck
Solution Approach 1:
The system extracts only the essential components of the weight data that are necessary to maintain high data transmission capacity. By identifying and transmitting only these critical parameters through dimension reduction compression, the fronthaul bandwidth requirement is reduced while the ability to support large bandwidth and high stream counts is preserved at the wireless interface.
Solution Approach 2:
The patent changes the parameter representation of the weight data by applying dimension reduction compression. This transformation modifies how the weight data parameters are encoded and transmitted, allowing the system to support higher productivity (data transmission capacity) with reduced fronthaul bandwidth requirements through efficient parameter optimization.
3Adaptability or versatility
If the communication apparatus increases antenna quantity and bandwidth, then the network capability improves, but the fronthaul interface becomes a development bottleneck
Solution Approach 1:
The patent extracts only the necessary weight data parameters for maintaining network capability, reducing the complexity of the fronthaul interface. By transmitting a compressed representation rather than full weight data, the system enables higher network capability (support for more antennas and bandwidth) without proportionally increasing fronthaul interface complexity.
Data Source
AI summary
A communication method and apparatus relate to the field of communication technologies, so that the communication apparatus can adapt to development of a communication network when performing data transmission. The method may include: obtaining weight data; performing dimension reduction compression on the weight data, to obtain first data; and sending the first data, where the weight data is used for beamforming, and a dimension of the weight data is greater than a dimension of the first data.