Radio-Communication Channel Prediction From Mobility States
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Solution Overview
Problem
Existing systems fail to predict radio-communication channels effectively, hindering optimization of transmission and reception parameters due to varying radio-propagation conditions and mobility of transmitters and receivers.
Innovation Solution
A method that infers future radio-communication channel characteristics by analyzing current or past mobility states of transmitters and receivers using mobility models and connection functions, allowing prediction of channel features at a target future time instant.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If available systems are used without prediction capability, then the system complexity remains low, but the communication quality and reliability cannot be optimized in advance
Solution Approach 1:
The patent applies preliminary action by predicting future radio-communication channel characteristics before actual transmission occurs. The system uses mobility models and connection functions to infer channel features at target future time instants based on current or past mobility states, enabling advance optimization of transmission parameters such as transmission power and detection sensitivity before communication quality issues arise.
Solution Approach 2:
The patent implements dynamics by continuously tracking mobility states of transmitters and receivers and dynamically adjusting communication parameters based on predicted channel characteristics. The system adapts transmission and reception parameters in real-time according to the inferred future channel conditions, making the communication system responsive to changing environmental factors and mobility patterns.
2Reliability
If transmission parameters are adjusted continuously based on real-time channel conditions, then communication quality improves, but the response time to changing conditions is delayed
Solution Approach 1:
The patent resolves this contradiction by performing prediction of channel characteristics at target future time instants, allowing the system to prepare optimal transmission parameters in advance. This preliminary action eliminates the delay between detecting channel changes and adjusting parameters, as the system proactively determines future channel conditions and pre-configures transmission settings before actual communication occurs.
Solution Approach 2:
The patent uses feedback mechanisms by obtaining information about current or past mobility states and using this feedback to continuously refine predictions of future channel characteristics. The system incorporates measurement results and derived mobility state information to improve the accuracy of predictions, creating a closed-loop system that learns from past and present conditions to optimize future communication performance.
3Productivity
If prediction of future channel characteristics is implemented, then optimization of transmission parameters in advance becomes possible, but the complexity of data processing increases
Solution Approach 1:
The patent applies the extraction principle by separating the prediction function into distinct components: mobility state information extraction, mobility model function application, and connection function processing. The system extracts only the necessary mobility state parameters from measurement results and applies pre-defined mobility models and connection functions, avoiding the need to process all possible channel parameters and reducing overall data processing complexity while maintaining prediction capability.
Solution Approach 2:
The patent uses copying by utilizing pre-established mobility models and connection functions that represent typical channel behavior patterns. Instead of performing complex real-time analysis of all channel parameters, the system copies proven prediction relationships from the mobility models and applies them to current mobility states, significantly reducing computational complexity while maintaining accurate predictions of future channel characteristics.
Data Source
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AI summary
A method provides information about a radio-communication channel between a transmitter (11) and a receiver (12) for a target future time instant, while at least one of the transmitter and receiver is moving. Information is inferred from at least one current or past mobility state of the pair formed by said transmitter and receiver, combined with a mobility model function relating to said pair. The method is useful for adjusting parameters of a communication session ongoing between said transmitter and receiver. It may also be useful for a radio-detection system suitable for characterizing radio interference due to a transmitter-equipped carrier (10).