Distributed Antenna Data Framing With Adaptive Compression Ratios
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing distributed antenna systems face challenges in balancing system capacity and transmission performance due to fixed compression ratios that fail to accommodate varying data requirements.
Innovation Solution
A data transmission method that divides data into categories based on preset compression ratios, constructs frames with flexible compression settings, and transmits using multiple optical fibers to optimize capacity and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed compression ratio is used for all baseband data, then the transmission method is simple, but the system capacity and transmission performance cannot be balanced in different application scenarios
Solution Approach 1:
The patent segments baseband data into multiple categories (first category baseband data and second category baseband data) with different compression ratios. This segmentation allows different data types to be compressed differently, resolving the contradiction between simple fixed compression and adaptive compression for different scenarios.
Solution Approach 2:
The patent applies different compression ratios to different parts of the data based on their characteristics. First category baseband data uses a first compression ratio while second category baseband data uses a second compression ratio, allowing each part to be optimized for its specific requirements rather than using a uniform compression approach.
2Reliability
If a smaller compression ratio is used, then transmission performance is improved, but system capacity decreases
Solution Approach 1:
The patent dynamically selects compression ratios based on data category and requirements. Instead of using a fixed compression ratio, the system adapts the compression level dynamically - using lower compression ratios for data requiring high transmission performance and higher compression ratios for data where system capacity is prioritized.
Solution Approach 2:
The patent changes the compression ratio parameter based on data characteristics and transmission requirements. By varying the compression ratio parameter across different data categories, the system can optimize both transmission performance and system capacity according to actual needs.
3Productivity
If a larger compression ratio is used, then system capacity is improved, but transmission noise increases and transmission performance deteriorates
Solution Approach 1:
The patent segments data into categories and applies differentiated compression ratios, preventing excessive compression of all data uniformly. This segmentation ensures that critical data maintains adequate quality while less critical data can be compressed more aggressively, balancing system capacity and transmission performance.
Solution Approach 2:
The patent applies local quality optimization by using higher compression ratios for data where system capacity is more important and lower compression ratios for data where transmission performance is critical, rather than applying uniform compression throughout.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method effectively balances system capacity and transmission performance by adapting compression ratios to data characteristics, enhancing overall system efficiency.
Implementation Method 1
the optical signal is transmitted between the local machine and the remote machine via the optical fiber
Data Source
AI summary
A data transmission method and a device for a distributed antenna system, and an electronic device are provided. The data transmission method includes assembling to-be-transmitted target data into a plurality of target compression units; dividing the plurality of target compression units into different categories of target compression groups according to different preset compression ratios of the plurality of target compression units, and any of the target compression groups including at least one of the plurality of target compression units; compressing the target compression groups into corresponding target transmission groups according to the quantity of the at least one of plurality of target compression units in each of the target compression groups and compression ratios corresponding to the target compression groups; constructing target basic frames according to the target transmission groups, and any of the target basic frames including at least one of the target transmission groups; and transmitting the target base frames.