Soft V2X Server Pre-Assessment for Collision Risk Filtering
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently assessing the risk of collisions between user equipments (UEs) in Vehicle-to-Everything (V2X) scenarios, leading to increased network complexity and resource utilization.
Innovation Solution
A server-based method for pre-assessing risk in Soft V2X communication systems, which includes a receiver, controller, and transmitter to determine a risk candidate list by analyzing messages from UEs, identifying primary candidate UEs based on operation mode, heading, and relative positions, and transmitting this list to UEs for reduced message processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If risk assessment is performed between all pairs of UEs, then collision detection reliability is improved, but network complexity and processing overhead increase
Solution Approach 1:
The patent segments the risk assessment process into two stages: first, the server performs pre-assessment to generate a risk candidate list containing only UEs with potential collision risk; second, detailed risk assessment is performed only on the final candidate UEs from this filtered list. This segmentation reduces the number of UE pairs requiring full assessment while maintaining collision detection reliability.
Solution Approach 2:
The server performs preliminary risk assessment actions by analyzing messages from all UEs and generating a risk candidate list before the actual collision detection process. This preliminary filtering action identifies potential risk scenarios in advance, allowing subsequent detailed assessment to focus only on relevant UE pairs, thereby reducing overall network complexity.
2Reliability
If risk assessment is performed between all pairs of UEs, then collision detection reliability is improved, but data cost and resource utilization increase
Solution Approach 1:
The assessment process is divided into server-side pre-assessment (generating risk candidate list) and UE-side final assessment (evaluating only final candidate UEs). This segmentation ensures that energy-intensive detailed risk calculations are performed only when necessary, reducing overall data transmission and processing costs while maintaining detection reliability.
Solution Approach 2:
Instead of performing complete risk assessment on all possible UE pairs, the system performs partial assessment by first identifying a subset of potentially risky UE pairs through server pre-assessment. This partial action approach reduces data cost by avoiding unnecessary full assessments of UE pairs with no collision risk.
3Reliability
If all UEs process and assess messages from all other UEs, then assessment completeness is improved, but processing efficiency deteriorates
Solution Approach 1:
Processing responsibilities are segmented between the server and UEs. The server handles the computationally intensive task of analyzing all UE messages and generating the risk candidate list, while individual UEs only need to process messages from final candidate UEs identified in the list. This segmentation maintains assessment completeness while dramatically improving processing efficiency.
Solution Approach 2:
The server acts as an intermediary that pre-processes and filters information before distributing it to UEs. By generating the risk candidate list centrally, the server reduces the processing burden on individual UEs, allowing them to focus only on relevant candidates while the server ensures comprehensive initial screening of all UEs.
Data Source
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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.