Sidelink Prediction for Mobile Node Reliability
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Solution Overview
Problem
Current mobile communications networks face challenges in predicting and maintaining optimal sidelink quality, particularly in dynamic environments like those involving high mobility vehicles, where link quality degrades rapidly due to node movement, and existing criteria like RSRP may not suffice to ensure reliable relay adaptation and quality reconfiguration.
Innovation Solution
An apparatus and method that predict future locations of nodes, estimate radio parameters such as signal strength and congestion levels, and determine reconfiguration actions to maintain sidelink quality by adjusting resources, selection criteria, or establishing alternative sidelinks based on estimated parameters and selection criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If nodes move in dynamic environments (e.g., high mobility vehicles), then node mobility and service coverage are improved, but sidelink quality degrades rapidly due to location changes
Solution Approach 1:
The system performs preliminary actions by predicting future node locations before actual movement occurs. The prediction mechanism estimates where nodes will be at future time points, and reconfiguration actions are prepared in advance based on these predictions, allowing the system to proactively maintain sidelink quality rather than reactively responding to degradation.
Solution Approach 2:
The system implements dynamics by continuously adapting sidelink configuration based on predicted node movements. Instead of static configuration, the system dynamically adjusts resource allocation, modulation schemes, and other parameters according to the predicted trajectories and locations of moving nodes, enabling the network to track and maintain optimal performance despite high mobility.
2Ease of operation
If existing criteria like RSRP are used for relay adaptation, then implementation is simple, but reliability is insufficient to ensure consistent sidelink quality
Solution Approach 1:
The system performs preliminary quality assessment by estimating radio parameters at predicted future locations before actual movement occurs. This allows the system to identify potential quality issues in advance and prepare appropriate reconfiguration actions, ensuring consistent quality rather than reacting to degradation after it occurs.
Solution Approach 2:
The system introduces an intermediary prediction and estimation layer between the current state and the actual future state. Instead of directly using current RSRP measurements, the system uses prediction models to estimate future locations and radio parameters, providing a more reliable basis for reconfiguration decisions that accounts for upcoming changes in node positions.
3Reliability
If reconfiguration actions are taken to maintain sidelink quality, then reliability is improved, but network complexity increases due to prediction and estimation mechanisms
Solution Approach 1:
The prediction mechanism serves multiple functions simultaneously: it predicts node locations for quality assessment, identifies future interference conditions, and informs resource allocation decisions. This multi-functionality reduces the need for separate specialized mechanisms, thereby limiting the increase in overall system complexity while maintaining reliability.
4Reliability
If prediction of future locations and estimation of radio parameters are performed, then sidelink quality consistency is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs prediction and estimation in advance at predicted future time points, allowing processing to be distributed over time rather than concentrated at critical moments. This proactive timing enables the system to maintain quality consistency while managing processing loads more effectively.
Data Source
AI summary
Embodiments relate to an apparatus comprising means for predicting, for a first node at a first location, at least one second location(s) of said first node. The first node may be configured to transfer data to a second node via a first sidelink; for example, the first and second nodes may be part of a mobile communications network. The apparatus may further comprise a means for estimating a first radio parameter of the first sidelink at said second location(s). The apparatus may further comprise a means for determining, based on said estimated first radio parameter, if said first sidelink at said second location(s) meets at least one selection criterion.