Predicting Line-of-Sight Contact for Wireless Network Interfaces
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Solution Overview
Problem
Current wireless communication networks rely on instantaneous link quality measurements and environmental modeling, which are inadequate for predicting future link quality and do not effectively manage line-of-sight contact between communication interfaces, leading to potential degradation in communication links.
Innovation Solution
A method and apparatus that predict future line-of-sight contact between communication interfaces by creating spatial representations at a current and future instant, using sensor data to ascertain positions and signal attenuations, allowing for timely warnings and configuration adjustments to maintain optimal communication links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If instantaneous link quality measurements and environmental modeling are used, then current link quality can be assessed, but future link quality cannot be predicted
Solution Approach 1:
The system performs preliminary actions by creating spatial representations of the environment at future time instants before actually reaching those instants. It predicts future positions of communication interfaces and objects, and pre-assesses link quality conditions, enabling proactive rather than reactive link management
Solution Approach 2:
The system continuously receives sensor data about object positions and movements, processes this feedback information to update spatial representations, and uses this updated information to refine predictions of future link quality, creating a closed-loop predictive system
2Reliability
If spatial representations at future instants are created to predict line-of-sight contact, then link quality can be predicted in real time, but system complexity increases
Solution Approach 1:
The system creates simplified copies or representations of the physical space rather than processing complete complex spatial data. It generates spatial representations that capture essential geometric relationships and object positions needed for line-of-sight prediction, reducing computational complexity while maintaining prediction accuracy
Solution Approach 2:
The system extracts only the critical information needed for link quality prediction from sensor data, such as positions of communication interfaces and major obstructions. It focuses on extracting relevant spatial relationships rather than processing all environmental details, reducing system complexity
Data Source
AI summary
A method is provided for operating a wireless communication network (4), which comprises a plurality of communication interfaces (iT1 to iT3, iAP) which are spatially separated from one another, wherein the method comprises: ascertaining (102) a first representation (R1) of a space in which the plurality of communication interfaces (iT1 to iT3, iAP) are situated at a first instant (t1), ascertaining (104) a second representation (R2) of the space in which the plurality of communication interfaces (iT1 to iT3, iAP) are expected at a future second instant (t2) following the first instant (t1), as a function of the first representation (R1) of the space, and ascertaining (106) a prediction (P) of whether or not direct line-of-sight contact exists between respective pairs of the plurality of communication interfaces (iT1 to iT3, iAP) at the second instant (t2), as a function of the second representation (R2) of the space.