Multi-access Edge Computing for V2X Relative Speed Services
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Solution Overview
Problem
Existing V2X communication systems struggle to provide real-time local relative speed information effectively, especially in scenarios involving high mobility and Doppler Shift, which affects data reliability and decoding.
Innovation Solution
A method and system utilizing multi-access edge computing (MEC) to collect, process, and provide local relative speed data within a specific spatial domain, integrating velocity data from various sources into a centralized data map and delivering relevant data to user equipment associated with V2X applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Doppler shift compensation is performed using existing techniques, then reliability of V2X communication is improved, but device complexity increases due to ego-centric processing requirements
Solution Approach 1:
The patent introduces a network entity (edge computing server) as an intermediary that collects velocity information from multiple sources, computes relative speed between transceiver and receiver, and provides compensation parameters. This mediator approach transfers the complex computational burden from individual user equipment to the network infrastructure, maintaining reliability while reducing device complexity
Solution Approach 2:
The patent replaces the mechanical/computational approach where each device independently processes velocity data with a network-based system that centralizes computation. The network entity substitutes for individual device processing, using received velocity information to derive relative speed parameters that are then provided back to devices for Doppler compensation
2Measurement precision
If local relative speed information is generated at user equipment, then measurement precision is improved, but use of energy increases due to continuous processing requirements
Solution Approach 1:
The network entity acts as an intermediary that performs the energy-intensive velocity data processing and relative speed computation. User equipment only needs to transmit its velocity information and receive compensation parameters, significantly reducing their energy consumption while maintaining measurement precision through network-based computation
3Reliability
If complete velocity data processing is performed in centralized cloud, then reliability is improved, but loss of time increases due to data transport latency
Solution Approach 1:
The patent segments the processing architecture by placing edge computing servers at network edges closer to user equipment. This segmentation allows velocity data processing and relative speed computation to occur at distributed edge locations rather than a single centralized cloud, reducing data transport distance and latency while maintaining processing reliability
Solution Approach 2:
The patent transitions from a single-dimensional centralized cloud architecture to a multi-dimensional distributed edge computing architecture. By deploying processing capabilities across multiple edge servers geographically distributed near user equipment, the system reduces data transport time while maintaining reliable processing through distributed computation
4Productivity
If real-time relative speed data is provided to multiple user equipment, then productivity of V2X applications is improved, but loss of information increases without proper filtering
Solution Approach 1:
The network entity provides customized relative speed information tailored to each user equipment and its specific application requirements. Instead of broadcasting generic data, the system filters and provides only the relevant relative speed parameters needed by each device, ensuring information accuracy and relevance while supporting multiple applications simultaneously
Data Source
AI summary
Relative-speed data is provided as a service by: collecting, by at least one multi-access edge computing device, velocity data of objects within a service spatial domain; computing, by the at least one edge computing device, relative speed data of the objects within the service spatial domain, and integrating the computed relative speed data into a centralized data map; determining, by the at least one edge computing device according to at least one V2X application, which local relative speed data are relevant to at least one user registered as subscriber to the relative speed service; and providing, by the at least one edge computing device according to the at least one V2X application, the determined local relative speed data to the at least one user equipment according to the at least one V2X application, either periodically or on demand.


