Dynamic Power Allocation for Parallel Data Transmission Services
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Solution Overview
Problem
Current data transmission systems are limited by static power distribution across services, which does not adapt to changing service requirements or channel conditions, leading to inefficient performance and potential service disruptions.
Innovation Solution
A dynamic power distribution method that adjusts power allocation based on current service properties and channel conditions, prioritizing high-priority services and switching off or reducing lower-priority services as needed, with flexible power scaling using additional pilot signals and a combination of 'open loop' and 'closed loop' principles for signal quality determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static power distribution is used across services, then system simplicity is maintained, but service performance and adaptability deteriorate under changing channel conditions
Solution Approach 1:
The patent implements dynamic power distribution where the available power is continuously reallocated among services based on current channel conditions and service priorities. The power distribution changes dynamically rather than remaining static, allowing the system to adapt to varying transmission conditions while maintaining reasonable complexity through automated control mechanisms.
Solution Approach 2:
The system changes the power allocation parameter dynamically based on channel quality indicators and service requirements. By adjusting the power distribution parameter in response to changing conditions, the system achieves adaptability without requiring complete system redesign, resolving the contradiction between simplicity and versatility.
2Reliability
If power is continuously allocated to all services, then service availability is maintained, but power efficiency deteriorates when channel conditions are poor
Solution Approach 1:
The patent applies different power allocation strategies to different services based on their individual priorities and channel conditions. High-priority services receive sufficient power to maintain availability, while lower-priority services have their power reduced or suspended when channel conditions deteriorate, achieving both reliability for critical services and power efficiency for the system as a whole.
Solution Approach 2:
Instead of allocating power to all services equally under all conditions, the system applies partial power allocation selectively based on service priority and channel quality. This partial action approach maintains essential service availability while avoiding excessive power consumption that would waste energy under poor channel conditions.
3Loss of energy
If power is reduced for low-priority services, then power efficiency improves, but service quality deteriorates
Solution Approach 1:
The system applies differentiated power allocation where high-priority services maintain their quality standards through adequate power allocation, while low-priority services accept reduced quality when power is limited. This local quality approach ensures that power reduction does not uniformly degrade all services, but only those where quality reduction is acceptable.
Solution Approach 2:
The system continuously monitors channel conditions and service performance, using this feedback to dynamically adjust power allocation. This feedback mechanism ensures that power is reduced from services where quality degradation is acceptable while maintaining quality for services where it is critical, balancing power efficiency with service quality through informed decision-making.
4Productivity
If dynamic power reallocation is implemented, then service performance under varying conditions improves, but system complexity increases
Solution Approach 1:
The patent implements self-service through automated power allocation algorithms that continuously monitor channel conditions and autonomously reallocate power among services without requiring complex manual intervention. The system serves itself by making real-time decisions based on predefined priorities and channel feedback, achieving improved productivity while limiting complexity growth through automation rather than manual control mechanisms.
Solution Approach 2:
The system performs preliminary actions by pre-defining service priorities and power allocation rules before dynamic conditions arise. This preliminary configuration allows the system to respond dynamically to changing conditions using pre-established criteria, improving productivity through rapid adaptation while avoiding the complexity of real-time decision-making algorithms.
Data Source
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AI summary
The present invention relates to a data transmission system for the parallel and efficient transmission of user data from different services. When a characteristic of a service or the quality of a transmission channel changes, more or less power is allocated to the services for transmitting user data over that channel. This dynamic adjustment of the power distribution to the services, taking into account current characteristics such as a variable data rate or priority, ensures optimal performance even under changing conditions. If the power allocation for a particular service does not deliver the desired performance, this can result in the service being shut down or its power allocation being increased—and thus the shutdown of another service.