Multi-Channel Data Transmission for Adaptive Channel Load Balancing
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Solution Overview
Problem
Single wireless data signals are unstable due to geographical factors, buildings, radio interference, and base station load capacity, leading to inconsistent data connections.
Innovation Solution
A multi-channel data transmission method that adjusts the data carrying capacity of multiple channels based on network parameters to optimize data aggregation efficiency, using a multi-channel data transmission device with an acquisition, determination, and adjustment module to dynamically adjust channel capacities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single wireless data signal is used, then the device complexity is low, but the reliability of data connection deteriorates due to geographical factors, buildings, radio interference, and base station load capacity
Solution Approach 1:
The patent divides the wireless data transmission into multiple independent channels (first data channel and second data channel), each capable of carrying data separately. This segmentation allows the system to use multiple channels simultaneously, improving connection reliability through diversity while managing complexity through structured channel configuration and independent data carrying capacity adjustment for each channel.
2Productivity
If multiple data channels are used to improve reliability, then the data aggregation efficiency improves, but the device complexity and control difficulty increase
Solution Approach 1:
The patent implements dynamic adjustment of data carrying capacity for each channel based on real-time network conditions. The first data channel and second data channel can have their capacities adjusted independently according to signal quality, interference levels, and network load, allowing the system to optimize data aggregation efficiency while adapting to changing conditions without overwhelming complexity.
Solution Approach 2:
The system changes the data carrying capacity parameter of each channel based on network conditions. By adjusting the capacity parameters of the first and second data channels dynamically, the system optimizes data aggregation efficiency while managing control complexity through parameter-based adjustment rather than structural complexity.
3Adaptability or versatility
If fixed data carrying capacity is used for all channels, then the control simplicity is maintained, but the adaptability to network conditions deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the system monitors network conditions (signal quality, interference, load) and adjusts the data carrying capacity of the first and second data channels accordingly. This feedback-driven adaptation allows the system to respond to changing network conditions while maintaining operational simplicity through automated control based on measured parameters.
Data Source
AI summary
The present disclosure provides a multi-channel data transmission method, which includes: acquiring network parameters of a plurality of data channels and current data carrying capacity proportions of the plurality of data channels, the network parameters being influencing factors which affect data transmission capabilities of the data channels; determining target data carrying capacity proportions of the plurality of data channels based on the network parameters of the plurality of data channels and the current data carrying capacity proportions of the plurality of data channels, the current data carrying capacity proportions and the target data carrying capacity proportions including a plurality of proportion levels; and correspondingly adjusting a data carrying capacity of each of the data channels according to the target data carrying capacity proportions of the plurality of data channels. The present disclosure further provides an electronic device.