Wireless Network Transmission Optimization for Handover Compatibility
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Solution Overview
Problem
Existing network transmission optimization technologies face challenges in wireless networks due to differences in protocols between source and target base stations during handovers, leading to ineffective data compression and decompression, which hampers data transmission efficiency.
Innovation Solution
Implementing a wireless network transmission optimization technology that detects the WNTO capability of both source and target base stations and adjusts data transmission accordingly, using fingerprint databases for synchronization and compression/decompression of uplink and downlink data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network transmission optimization technology is deployed at both ends of the network for data compression, then data transmission efficiency is improved, but the technology cannot work normally during terminal handover between base stations due to protocol differences
Solution Approach 1:
The patent introduces a core network element as an intermediary that mediates between source and target base stations during handover. This intermediary synchronizes compression protocols and coordinates compression/decompression operations, allowing the target base station to successfully decompress data even when using different protocols than the source base station.
Solution Approach 2:
The patent performs preliminary synchronization of compression protocols and fingerprint databases through the core network element before handover occurs. This advance preparation ensures that the target base station has the necessary protocol information and compression state ready to handle incoming compressed data, preventing handover failures.
2Loss of energy
If protocol header compression is applied at the PDCP layer, then transmission is optimized for single user with small payload, but compression effect is not obvious when protocol payload is relatively large
Solution Approach 1:
The patent segments the data compression approach by applying different compression strategies based on payload size. For small payloads, traditional PDCP layer header compression is used. For large payloads, the system switches to application-layer compression or disables compression to avoid inefficiency, thereby optimizing bandwidth utilization according to actual data characteristics.
Solution Approach 2:
The patent dynamically changes compression parameters and strategies based on payload size detection. When the protocol payload exceeds a threshold, the system transitions from aggressive header compression to alternative strategies, adjusting the compression approach to match the actual data characteristics and maintain effectiveness.
3Productivity
If application layer compression is used, then network transmission can be optimized, but it depends on whether the application is configured with compression function
Solution Approach 1:
The patent creates a universal compression framework that can operate at multiple layers (PDCP layer and application layer) depending on conditions. The system automatically selects the appropriate compression layer based on application capabilities, payload characteristics, and network state, making the solution universally applicable across different applications and scenarios.
Solution Approach 2:
The patent implements dynamic compression strategy selection that adapts in real-time based on whether the application supports compression functions. The system continuously monitors application capabilities and adjusts the compression approach accordingly, switching between PDCP-layer and application-layer compression to maintain optimality across varying conditions.
Data Source
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AI summary
Embodiments of the present invention disclose a data transmission method and system, and a related apparatus. The method in the embodiments of the present invention includes: when a network-side data transmission apparatus detects that a terminal is handed over from being served by a source base station to being served by a target base station, determining whether the source base station and the target base station have a wireless network transmission optimization WNTO technical capability; and completing transmission of uplink data or downlink data according to each determined WNTO technical capability of the source base station and the target base station, which effectively improves data transmission efficiency in a wireless network.