PDCP Data Compression for MTC Signaling Overhead
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing number of Machine Type Communication (MTC) user equipment (UEs) leads to signaling and traffic overhead issues in cellular networks, which existing technologies have not adequately addressed.
Innovation Solution
A method and apparatus for reducing signaling and traffic overhead in MTC communication systems by compressing data using packet data convergence protocol (PDCP) protocol data units (PDUs) based on received configuration information, employing a preset compression algorithm for data transmission and decompression in wireless communication systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of MTC user equipments (UEs) increases to support more devices in the network, then the network capacity and coverage are improved, but signaling overhead and traffic overhead increase significantly
Solution Approach 1:
The patent segments the PDCP PDU by separating the packet data from the header information. The packet data is compressed and transmitted separately, while the header contains essential control information. This segmentation allows the network to efficiently handle multiple MTC UEs by reducing the overall signaling overhead while maintaining the ability to address and manage individual devices.
Solution Approach 2:
The patent extracts and transmits only the necessary packet data in the PDCP PDU, separating it from redundant information. By taking out only the essential data elements and compressing them, the system reduces traffic overhead while still supporting a large number of MTC UEs, thus resolving the contradiction between network capacity and overhead.
2Loss of information
If data is compressed using PDCP protocol data units to reduce signaling and traffic overhead, then overhead is reduced, but data decompression processing complexity increases
Solution Approach 1:
The patent applies compression algorithms at the data transmission stage before the data is sent over the network. By performing the compression action in advance, the system reduces the overhead of signaling and traffic. The decompression is then performed at the receiving end using standardized algorithms, which balances the processing complexity while achieving overhead reduction.
Solution Approach 2:
The patent changes the parameter of data representation by applying compression algorithms that transform the original data into a more compact form. This parameter change reduces the amount of data that needs to be transmitted and processed, thereby reducing overhead while managing processing complexity through efficient compression techniques.
3Loss of information
If compression algorithms are applied to PDCP PDU data to reduce traffic overhead, then data transmission efficiency is improved, but processing time and energy consumption increase
Solution Approach 1:
The patent applies compression selectively to the packet data portion of the PDCP PDU, rather than compressing the entire data structure including headers. This partial action approach reduces traffic overhead for the most significant portion of the data while minimizing the additional processing time and energy required, thus balancing efficiency improvement with resource consumption.
Data Source
AI summary
A long term evolution (LTE) protocol and a technology for designing an entity of the LTE protocol in layer 2 are provided. The method includes receiving a control message including packet data convergence protocol (PDCP) configuration information from an external communication device, determining whether data of a PDCP protocol data unit (PDU) received by the communication device is compressed according to the received PDCP configuration information, and when the data is compressed based on a result of the determination, decompressing the data.


