UE Link Quality Estimation via Positioning Data
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently monitoring and adapting to varying link quality between base stations and user equipment due to factors like space/time/frequency selective fading and shadowing, leading to stale link quality information and significant resource usage.
Innovation Solution
A system and method that determine and store link qualities for multiple positionings of user equipment, enabling the estimation of future link quality based on stored information, allowing for proactive adaptation and resource optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If link quality is monitored frequently and updated fast, then link quality information accuracy is improved, but wireless communication resources consumption increases
Solution Approach 1:
The system performs preliminary actions by determining and storing link qualities for multiple pre-defined positionings of the user equipment in advance. When the UE moves, the system estimates future link quality based on these pre-collected measurements and the predicted future positioning, avoiding the need for frequent real-time measurements and updates.
Solution Approach 2:
The system creates a copy of link quality information by determining link qualities for multiple positionings (not just the current positioning). This allows the system to estimate future link quality using stored information from other positionings, reducing the need for continuous real-time monitoring.
2Reliability
If link quality information is updated frequently, then robustness of data communication is improved, but control channel resources increase
Solution Approach 1:
The base station determines and stores link qualities for multiple positionings in advance, preparing the information needed for future link quality estimation before the UE actually moves to those positions. This preliminary preparation reduces the need for frequent control channel updates.
Solution Approach 2:
The system introduces an intermediary estimation process that uses stored link quality information from multiple positionings to predict future link quality. This intermediary mechanism reduces direct reliance on frequent control channel measurements and updates.
3Adaptability or versatility
If link quality monitoring is performed continuously, then adaptability of transmission mode is improved, but system complexity increases
Solution Approach 1:
The system determines link qualities for multiple positionings in advance and stores this information. When adapting transmission modes, it estimates future link quality based on predicted positioning and stored information, simplifying the real-time decision-making process while maintaining adaptability.
Solution Approach 2:
The system replaces continuous mechanical monitoring and updating of link quality with an estimation approach. Instead of continuously measuring and updating link quality through control channels, it uses stored information and positioning estimation to predict future link quality, reducing system complexity.
Data Source
AI summary
Systems, methods, and apparatuses for estimating a user equipment link quality based on a positioning of user equipment are provided. One method includes determining a plurality of link qualities (LQs) of the user equipment (UE) for a plurality of positionings of the UE, wherein at least one of the plurality of positionings includes at least a location or an orientation of the UE, storing information associated with the plurality of LQs for the plurality of positionings, estimating at least one future positioning of the UE, and estimating a future link quality (LQ) of the UE at the at least one future positioning of the UE based on the stored information associated with the plurality of LQs at the plurality of positionings of the UE.