5G Access Network Data Sequencing Across Multiple Channels
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Solution Overview
Problem
Existing data transmission methods in 5G systems face challenges in accurately determining the time sequence of sensor data without relying on timestamps, leading to delays and increased signaling overhead due to varying transmission capabilities of different sensors.
Innovation Solution
A method that involves receiving data through multiple channels, determining their sequence based on priority and channel capabilities, and processing the data accordingly without using timestamps, utilizing vortex waves with different phase shifts or different frequencies to optimize transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If timestamps are used to determine the time sequence of sensor data, then the accuracy of time sequence determination is improved, but the signaling overhead is increased
Solution Approach 1:
The patent extracts and removes the timestamp field from the data transmission protocol. Instead of transmitting timestamps for each sensor data packet, the system uses a timestamp-only signaling mechanism that triggers a sequencing operation, thereby eliminating the need for timestamps in the main data payload and reducing signaling overhead while maintaining time sequence accuracy.
Solution Approach 2:
The patent introduces a sequencing operation as an intermediary mechanism between data reception and data processing. This sequencing operation uses a timestamp provided by a first sensor to determine the relative timing of data from multiple sensors, eliminating the need for each sensor to transmit its own timestamp and thereby reducing overall signaling overhead while maintaining accurate time sequence determination.
2Productivity
If data from multiple sensors with varying transmission capabilities are processed simultaneously, then the transmission rate is improved, but the time sequence accuracy deteriorates
Solution Approach 1:
The patent implements a dynamic sequencing mechanism that adapts to different sensor transmission capabilities. The system uses a timestamp from a first sensor with known transmission characteristics to dynamically calculate and adjust the timing sequence of data from multiple sensors, allowing simultaneous processing of data from sensors with varying transmission speeds while maintaining accurate time sequence information.
3Measurement precision
If timestamps are included in each data packet, then the time sequence information is preserved, but the data processing complexity increases
Solution Approach 1:
The patent extracts the timestamp information from individual data packets and consolidates it into a single timestamp provided by a first sensor. This timestamp is then used as a reference for sequencing operations, thereby preserving time sequence information while reducing the amount of data that needs to be processed and eliminating the complexity of handling multiple timestamps across different packets.
Solution Approach 2:
The patent introduces a sequencing operation as an intermediary that handles time sequence determination. This sequencing operation uses a single timestamp from a first sensor to determine the relative timing of data from multiple sensors, thereby preserving time sequence information without requiring timestamps in each data packet and reducing processing complexity.
Data Source
AI summary
A method for data transmission, the method including: receiving transmissions of at least two channels; determining a sequence of the transmissions through the at least two channels; and processing the received transmissions through the at least two channels according to the sequence of the transmissions through the at least two channels.