Backhaul Data Compression via Multi-Protocol Layer Parsing
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Solution Overview
Problem
Current data compression methods for Backhaul transmission in mobile networks are limited in effectiveness, particularly in compressing large payloads and not all data application layers are optimized, leading to constrained throughput due to the lack of comprehensive compression across multiple protocol layers.
Innovation Solution
A method that parses IP data packets to extract transmission network, tunneling, and user data protocol headers, compresses these headers and application layer data, and encapsulates the compressed payload using the transmission network header to form a compressed IP data packet, which is then sent to a core network or base station, thereby increasing Backhaul throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If PDCP layer header compression is applied to IP data stream, then header compression effect is achieved for small Payload, but compression effect is limited when Payload is large
Solution Approach 1:
The patent segments the data transmission process into multiple protocol layers (PDCP layer and application layer), with each layer performing independent compression. The PDCP layer compresses IP headers while the application layer compresses the Payload, allowing both header and data content to be compressed simultaneously, thereby resolving the limitation of single-layer compression approaches.
2Productivity
If data compression is configured only for specific application layers, then configuration flexibility is maintained, but overall compression effect is limited
Solution Approach 1:
The patent implements a universal compression architecture where the base station performs compression across multiple protocol layers (both PDCP and application layers) centrally. This multi-functional approach allows the system to handle various data types and application layers uniformly, achieving comprehensive compression without requiring complex per-application configuration at each user device.
3Productivity
If compression is performed only for single user data, then processing simplicity is maintained, but Backhaul throughput optimization is constrained
Solution Approach 1:
The patent merges the compression functions of multiple users into a centralized base station processing unit. Instead of each user device performing independent compression, the base station consolidates compression operations for all users across multiple protocol layers, achieving economies of scale and maximizing Backhaul throughput optimization while maintaining manageable processing complexity through centralized control.
Data Source
AI summary
Embodiments of the present invention disclose a data transmission method and a related apparatus, which are used to implement compression of data transmitted on a backhaul to increase throughput of the backhaul. The method in the embodiments of the present invention includes: parsing a received Internet Protocol (IP) data packet to obtain a transmission network protocol header, a transmission tunneling protocol header, a user data protocol header, and user application layer data; compressing the transmission tunneling protocol header, the user data protocol header, and the user application layer data to obtain a compressed transmission network protocol payload; using the transmission network protocol header to encapsulate the compressed transmission network protocol payload to obtain a compressed IP data packet; and sending the compressed IP data packet to a decoding device in a core network or in a base station.