Hybrid Wireless Communication Load Balancing
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Solution Overview
Problem
Existing wireless communication systems often fail to consistently achieve target communication rates, leading to broken, interrupted, and uneven content delivery, especially in multi-cellular links that can experience congestion, particularly in mobile environments such as motor vehicles.
Innovation Solution
A hybrid model employing dynamic load balancing across multiple wireless communication channels, including cellular, WiFi, LiFi, radiofrequency, and VLC links, for proportional allocation of data packets to ensure reliable and high-quality content delivery by determining target communication rates and allocating data transmissions accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple wireless communication channels are used for data transmission, then the reliability and consistency of achieving target communication rates is improved, but the system complexity increases
Solution Approach 1:
The patent segments the data transmission task across multiple wireless communication channels (cellular, WiFi, WiMAX, etc.), dividing the overall communication load into parallel paths. Each channel operates independently with its own transmission queue, allowing the system to achieve target communication rates through diversified paths while managing complexity through modular channel management
Solution Approach 2:
The system implements a universal communication framework that can accommodate multiple types of wireless channels (cellular, WiFi, WiMAX, satellite) through a common architecture. The hybrid communication manager provides unified control and load balancing across heterogeneous channels, improving reliability without requiring separate management systems for each channel type
2Productivity
If dynamic load balancing is implemented across multiple communication paths, then the target communication rate is achieved without saturating channels, but the computational overhead increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing multiple communication channels and their associated transmission queues before data transmission begins. The hybrid communication manager proactively monitors channel conditions and pre-adjusts load distribution based on predicted channel capacity, reducing the need for frequent real-time computations during actual data transmission
Solution Approach 2:
The patent implements feedback mechanisms where the hybrid communication manager continuously monitors transmission performance and channel conditions across all wireless channels. Based on this feedback, the system dynamically adjusts the load balancing algorithm to optimize data packet distribution, achieving target communication rates while adapting to changing channel capacities without excessive computational overhead
3Stability of the object's composition
If proportional allocation of data packets is used across wireless channels, then content delivery consistency is improved, but the data transmission management complexity increases
Solution Approach 1:
The patent implements dynamic proportional allocation where the distribution of data packets across wireless channels is continuously adjusted based on real-time channel conditions and capacity measurements. The hybrid communication manager dynamically recalculates allocation proportions to maintain consistent content delivery, adapting to changing network environments without requiring static predetermined distributions
Data Source
AI summary
Wireless transmission of data packets between controllers is executed over a plurality of integrated hybrid wireless communication channels, with proportional allocation of communication links for guaranteed and best-effort communication links. Data packets may be communicated across a plurality of wireless communication channels to ensure delivery of on-demand performance.


