Communication Device Adaptive Control via Server Predictive Models
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Solution Overview
Problem
Communication devices are limited by passive logic structures and cannot adaptively control their operations based on empirical information about their moving patterns, leading to suboptimal performance in changing wireless communication environments.
Innovation Solution
A communication device is controlled using device control information that combines theoretical model information with empirical data, allowing it to predict its moving pattern and adjust its operations accordingly, with a server transmitting control parameters based on performance indices measured in a different wireless communication environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a communication device uses a passive logic structure for control, then the device operation is simple and predictable, but the device cannot adapt to changing wireless communication environments or predict its own moving pattern
Solution Approach 1:
The server performs preliminary actions by collecting empirical information about the communication device's moving patterns in advance, analyzing this data to generate predictive models, and storing control information based on predicted future environments. This allows the device to receive pre-computed control instructions before actually entering those environmental conditions, resolving the contradiction by preparing adaptive control data ahead of time without requiring complex real-time processing at the device.
Solution Approach 2:
A server acts as an intermediary between the communication device and the complex adaptive control logic. The server handles the computationally intensive tasks of collecting empirical information, analyzing moving patterns, and generating predictive control models, while the communication device itself maintains a relatively simple structure. This intermediary approach enables sophisticated adaptability without burdening the device with complex internal logic.
2Reliability
If a communication device operates based on current wireless communication environment only, then the control logic is simple, but the device cannot predict future moving patterns or optimize performance in advance
Solution Approach 1:
The system performs preliminary analysis of the communication device's moving patterns and generates predictive control information in advance, before the device actually encounters future environmental conditions. By computing optimal control strategies ahead of time based on historical empirical data, the system eliminates the need for time-consuming real-time analysis, thus improving reliability without incurring time delays.
Solution Approach 2:
The control system transitions from a static, environment-reactive approach to a dynamic, prediction-based approach. The server continuously updates the predictive model by incorporating new empirical information about the device's moving patterns, allowing the control strategy to adapt dynamically to changing conditions while maintaining computational efficiency through pre-computed predictions.
3Measurement precision
If device control information is generated without empirical information, then the control system is simple, but the theoretical model information alone is insufficient to accurately predict moving patterns
Solution Approach 1:
The control information structure combines theoretical model information with empirical information about moving patterns, creating a composite control system that leverages the strengths of both approaches. The theoretical model provides the foundational framework for understanding device behavior, while empirical data from actual operation refines and enhances prediction accuracy. This composite approach achieves high measurement precision without requiring the device itself to be complex, as the integration happens at the server level.
Data Source
AI summary
Apparatuses, methods, and systems for providing control information to a communication device are described. It is identified that device control information for controlling the communication device in a first wireless communication environment has been received from a server while the communication device is in a second wireless communication environment. The communication device is controlled based on the device control information while the communication device is in the first wireless communication environment. Obtained information is transmitted to the server in the first wireless communication environment based on control of the communication device. The device control information includes a parameter value determined based on performance indices measured in the first wireless communication environment.