Base Station Dictionary Generation for Changing Compression Links
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Solution Overview
Problem
Existing data compression methods for industrial private networks, such as uplink data compression (UDC), are not applicable due to changing data transmission links, preventing effective compression of data packets.
Innovation Solution
A method involving a base station that obtains identification information for data compression and decompression devices, generates a dictionary based on this information, and sends it to enable data compression and decompression, allowing for dynamic adaptation of compression algorithms and storage of dictionaries for efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a predefined dictionary is used for data compression as in existing UDC methods, then data compression can be performed in standard wireless networks, but the method becomes inapplicable in industrial private networks where data transmission links change
Solution Approach 1:
The patent transforms the static predefined dictionary approach into a dynamic system where the base station generates dictionaries adaptively based on current transmission link conditions. The dictionary is no longer fixed but evolves with changing network environments, enabling the compression method to work in both standard wireless networks and industrial private networks with varying links.
Solution Approach 2:
The invention changes the parameters used for dictionary generation from static predefined values to dynamic parameters derived from actual transmission link characteristics. The base station extracts link-specific parameters and uses them to generate customized dictionaries, allowing the system to adapt to different transmission conditions without requiring manual reconfiguration.
2Productivity
If data packets are compressed using existing methods, then the amount of transmitted data is reduced, but the methods fail when transmission links change in industrial private networks
Solution Approach 1:
The patent implements a feedback mechanism where the base station monitors transmission link conditions and uses this information to dynamically adjust the compression dictionary. The system continuously adapts to link changes by incorporating real-time link state information into dictionary generation, ensuring reliable compression performance across varying network conditions.
Solution Approach 2:
The base station performs preliminary analysis of transmission link characteristics before data compression occurs. By pre-processing link information and incorporating it into dictionary generation in advance, the system ensures that the compression algorithm is optimized for the current link conditions, improving both efficiency and reliability.
3Ease of manufacture
If a fixed compression method is used, then implementation is simple in standard networks, but the method cannot adapt to different service types and link conditions
Solution Approach 1:
The patent enables the base station to automatically generate and update compression dictionaries without external intervention. The system serves itself by autonomously analyzing link conditions, selecting appropriate parameters, and creating optimized dictionaries for different service types, maintaining implementation simplicity while achieving high adaptability.
Data Source
AI summary
Embodiments of this application disclose example data compression methods and example base stations. One example method includes obtaining, by a base station, identification information of at least one of a data compression device or a data decompression device. A dictionary can then be generated based on the identification information. The dictionary can then be sent to the data compression device and the data decompression device to enable the data compression device and the data decompression device to perform data compression and data transmission based on the dictionary.


