V2X Server Pre-Assessment for Collision Risk Candidate Filtering
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently assessing and managing collision risks between user equipments (UEs) in Vehicle-to-Everything (V2X) scenarios, leading to unnecessary resource utilization and increased computational load.
Innovation Solution
A server-based pre-assessment method determines a risk candidate list by analyzing messages from UEs, identifying high-risk pairs based on operational modes, headings, and relative positions, and transmitting a filtered list to UEs, reducing unnecessary message exchange and computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all UEs exchange messages and perform risk assessment with each other, then collision risk detection coverage is improved, but message exchange frequency and computational load increase significantly
Solution Approach 1:
The patent introduces a server as an intermediary that centralizes the risk assessment process. Instead of each UE performing computations with every other UE, the server receives messages from all UEs, performs centralized risk assessment to generate a risk candidate list, and distributes this list back to UEs. This mediator approach maintains comprehensive collision risk detection while significantly reducing the computational burden on individual UEs and message exchange frequency.
Solution Approach 2:
The patent segments the risk assessment process into two distinct phases: (1) message exchange phase where UEs send their state information to the server, and (2) risk assessment phase where the server generates and distributes the risk candidate list. This segmentation allows UEs to participate in risk assessment without performing complex computations locally, reducing their computational load while maintaining overall system reliability.
2Reliability
If all UEs exchange messages and perform risk assessment with each other, then collision risk detection coverage is improved, but resource utilization increases unnecessarily
Solution Approach 1:
The server acts as a centralized intermediary that consolidates message processing and risk assessment operations. By having the server perform the computationally intensive risk assessment instead of distributing this load across all UEs, the system reduces redundant message exchanges and energy consumption at the UE level, while maintaining comprehensive collision risk detection coverage.
Solution Approach 2:
The patent merges the risk assessment functionality into a centralized server operation rather than having each UE perform independent assessments. This consolidation eliminates redundant computations and message exchanges, reducing overall resource utilization while maintaining the same level of collision risk detection coverage across the network.
3Measurement precision
If risk assessment is performed for all UE pairs, then collision detection accuracy is improved, but message exchange frequency increases
Solution Approach 1:
The server performs preliminary risk assessment by generating a risk candidate list that identifies high-risk UE pairs before full risk assessment is needed. This preliminary action filters out low-risk combinations, allowing the system to maintain high collision detection accuracy while reducing the frequency of comprehensive risk assessment message exchanges by focusing computations only on identified high-risk pairs.
Data Source
AI summary
A Soft Vehicle to Everything (V2X) server in a wireless communication system, and including a receiver configured to receive messages from a plurality of user equipments (UEs); a controller configured to determine an assessment risk between a pair of UEs included in the plurality of UEs based on the received messages, and determine at least one primary candidate UE among the pair of UEs to be included in a risk candidate list based on the determined assessment risk between the pair of UEs; and a transmitter configured to transmit the risk candidate list to the plurality of UEs.