Access Network Data Transmission Protocol Optimization
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Solution Overview
Problem
Current wireless communication technologies face challenges in optimizing data transmission protocols to efficiently handle variable data sizes and dynamic data transmission requirements, particularly in 5G and emerging 6G networks, which demand higher protocol complexity and communication performance.
Innovation Solution
The proposed solution involves a data transmission method and apparatus that obtain and utilize data characteristics, such as data size and packet relationship characteristics, to perform specific operations. These operations can include simplifying protocol functions, scheduling appropriate radio resources, and configuring bearers to optimize data transmission performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If protocol optimization is performed to shorten processing time for QoS requirements, then data transmission speed is improved, but protocol complexity increases
Solution Approach 1:
The patent segments the protocol processing into multiple independent modules: RLC layer for segmentation/reassembly, MAC layer for multiplexing/demultiplexing, and PDCP layer for header compression. This modular segmentation allows parallel processing and optimization of each layer independently, improving overall transmission speed while managing complexity through clear functional boundaries.
Solution Approach 2:
The patent implements preliminary actions by pre-configuring RLC PDUs with variable length support and pre-establishing MAC grant structures that can dynamically adapt to different data sizes. This preliminary preparation reduces real-time processing requirements, enabling faster transmission without proportionally increasing protocol complexity.
2Adaptability or versatility
If flexible service data sizes and dynamic data transmission are supported, then adaptability is improved, but communication overhead increases
Solution Approach 1:
The patent implements dynamic adaptation mechanisms where the RLC layer can dynamically adjust PDU sizes based on service requirements, and the MAC layer dynamically allocates grants matching the actual data size. This dynamic behavior eliminates the need for conservative over-provisioning of resources, reducing communication overhead while maintaining high adaptability to variable data sizes.
Solution Approach 2:
The patent changes key parameters such as RLC PDU length, MAC grant size, and transport block size to match the actual service data characteristics. By dynamically adjusting these parameters rather than using fixed values, the system achieves high adaptability without requiring excessive overhead for resource allocation and control signaling.
3Productivity
If packet header compression is performed on small packets, then data transmission efficiency is improved, but space for compression is limited
Solution Approach 1:
The patent moves header compression from the traditional PDCP layer only to a multi-dimensional approach involving RLC and MAC layers. By compressing headers at multiple protocol layers and utilizing unused bits in RLC PDUs and MAC grants for additional compression, the system overcomes the single-layer compression space limitation and achieves higher overall compression ratios.
Solution Approach 2:
The patent implements nested compression where PDCP layer headers are compressed first, then RLC layer adds minimal segmentation headers, and MAC layer adds even smaller scheduling headers. This nested structure allows progressive compression at each layer, maximizing overall compression efficiency while managing the complexity through hierarchical organization.
4Adaptability or versatility
If RLC and MAC perform segmentation, multiplexing, and demultiplexing for variable length packets, then flexibility is improved, but processing time increases
Solution Approach 1:
The patent extracts the complex segmentation and multiplexing functions from the traditional RLC-MAC processing chain and implements them as independent, optimized modules. By separating these functions and allowing parallel execution, the system maintains flexibility in handling variable length packets while reducing sequential processing time through concurrent operations.
Data Source
AI summary
A data transmission method and a communication device are disclosed. The data transmission method includes: obtaining, by an access network device, a data characteristic of to-be-transmitted data, where the data characteristic includes at least one of the following: a data size characteristic or a characteristic of relationship between data packets; and performing, by the access network device, a first operation according to the data characteristic of the to-be-transmitted data.