Ethernet Header Compression for 5G Uplink Data
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Solution Overview
Problem
In next-generation wireless communication systems, there is a challenge in efficiently managing uplink data transmission resources due to the limited capacity and power of terminals compared to base stations, leading to potential data loss and decompression failures during the uplink data compression process.
Innovation Solution
Implementing an Ethernet header compression method that selectively transmits only changed fields in the Ethernet header, using a new header to indicate omitted fields, and configuring the compression procedure through RRC messages to manage uplink data transmission efficiently and prevent data loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If Ethernet header compression is applied to reduce overhead, then transmission efficiency is improved, but the complexity of the compression and decompression process increases
Solution Approach 1:
The Ethernet header is segmented into multiple fields (source address, destination address, type/protocol, length, etc.), and only the necessary segments are transmitted or compressed. The compression mechanism divides the header into compressible fields and non-compressible fields, applying different handling strategies to each segment to reduce overall overhead while maintaining manageability.
Solution Approach 2:
The invention extracts and removes redundant or unchanged fields from the Ethernet header transmission process. By identifying and excluding fields that remain constant across multiple frames (such as unchanged source or destination addresses), the system transmits only the essential changed information, thereby reducing overhead without requiring complex processing of entire header structures.
2Productivity
If uplink data compression is performed to conserve terminal resources, then transmission resource usage is improved, but data loss and decompression failures may occur
Solution Approach 1:
The system performs preliminary actions by establishing compression context and parameters before actual data transmission begins. Configuration messages are exchanged in advance to set up the compression dictionary, field mappings, and transmission parameters, ensuring that both terminal and network are synchronized and prepared for reliable decompression, thereby preventing data loss before it occurs.
Solution Approach 2:
The invention implements feedback mechanisms where the network monitors the compressed uplink data transmission and provides feedback to the terminal about compression effectiveness, data integrity, and any detected errors. This allows dynamic adjustment of compression parameters and retransmission of corrupted data, maintaining reliability while conserving terminal resources.
Data Source
AI summary
The disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The disclosure discloses a method and apparatus for reducing overhead of an Ethernet frame, a method and apparatus for efficiently performing a connection resume procedure of a terminal, and a method and apparatus for preventing a loss of data when performing an uplink user data compression procedure.