Uplink Data Compression Buffer Sync to Prevent 5G Decompression Errors
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Solution Overview
Problem
In next-generation mobile communication systems, uplink data transmission faces challenges due to limited terminal capabilities, leading to smaller coverage and inefficient use of transmission resources, with decompression errors occurring when data compression fails, resulting in unnecessary data transmission and resource wastage.
Innovation Solution
Implementing a method and device for uplink data compression (UDC) that includes configuring PDCP configuration information based on an RLC entity set to acknowledged mode (AM), ensuring synchronized UDC buffer contexts at the transmission and reception ends to prevent decompression failures and optimize data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uplink data compression is applied to improve transmission efficiency, then resource utilization improves, but decompression errors occur causing data loss
Solution Approach 1:
The transmitter sends a reset indicator before potential decompression errors occur, allowing the receiver to proactively reset its decompression buffer. This preliminary action prevents error propagation and ensures data integrity while maintaining compression efficiency.
Solution Approach 2:
The system implements feedback through reset indicators sent from transmitter to receiver, enabling the receiver to adjust its decompression state based on transmitter conditions. This feedback loop resolves the contradiction by allowing compression to continue while periodically synchronizing decompression state to prevent errors.
2Area of stationary object
If transmission resources are increased to improve coverage, then coverage area expands, but transmission power consumption increases
Solution Approach 1:
The system dynamically changes transmission parameters including compression settings and reset timing based on channel conditions and coverage requirements. By adjusting these parameters, the system achieves extended coverage through efficient compression without proportionally increasing power consumption.
3Reliability
If data is transmitted without compression to avoid decompression errors, then data reliability improves, but transmission resource efficiency deteriorates
Solution Approach 1:
The transmitter sends reset indicators proactively before potential errors occur, enabling the receiver to reset its decompression buffer in advance. This allows continuous compression-based transmission while maintaining reliability through periodic state synchronization.
Solution Approach 2:
The reset indicator mechanism creates a feedback loop where transmission state information flows from transmitter to receiver, enabling adaptive decompression that maintains both reliability and resource efficiency through compression.
Data Source
AI summary
The disclosure relates to a communication technique for converging Internet of things technology with 5G communication systems designed to support a higher data transfer rate beyond 4G systems, and a system therefor. The disclosure may be applied to intelligent services (e.g., smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, retail business, security and safety-related services, etc.) on the basis of 5G communication technology and IoT-related technology. The disclosure provides a method and a device for preventing a data decompression error in a next-generation mobile communication system.


