C-V2X Poor Network Area Detection Using Multi-Source Server Data
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Solution Overview
Problem
Existing C-V2X systems face challenges in determining poor network quality areas due to insufficient data from individual vehicles and lack of network quality information from cellular networks and application servers, impacting safety and performance of various services.
Innovation Solution
A server-based method that collects network status data from terminal devices, network devices, and application servers to determine poor network quality areas, using data such as received signal strength, location, and latency, and sends this information to vehicles to enable route planning and mode switching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual vehicles determine poor network quality areas using their own data, then the determination can be made locally, but the accuracy is insufficient due to lack of comprehensive network data
Solution Approach 1:
A server acts as an intermediary to collect network status data from multiple sources including terminal devices, network devices, and application servers. The server processes this comprehensive data to determine poor network quality areas and returns the results to terminal devices, thereby improving determination accuracy without requiring complex local processing capabilities.
Solution Approach 2:
The system transitions from individual vehicle-based determination to a server-based centralized determination approach. By adding the server dimension to the data collection and processing architecture, the system gains access to multi-source network data (terminal devices, network devices, application servers) that enables accurate poor network quality area identification.
2Measurement precision
If the system collects network status data from multiple sources (terminal devices, network devices, application servers), then the determination accuracy improves, but the system complexity increases
Solution Approach 1:
The server is designed with multi-functionality to handle data collection from diverse sources (terminal devices, network devices, application servers), data processing, and result delivery. This universal approach consolidates multiple functions into a single server component, improving determination accuracy while managing system complexity through functional integration.
3Measurement precision
If terminal devices implement complex algorithms to identify poor network quality areas, then determination accuracy can improve, but the complexity burden on terminal devices increases
Solution Approach 1:
The complex determination logic and algorithms are extracted from terminal devices and relocated to the server. Terminal devices simply send network status data to the server and receive processed results, eliminating the need for complex local algorithms while maintaining high determination accuracy through server-based processing.
Data Source
AI summary
Embodiments of the present disclosure provide methods and apparatuses for determining a poor network quality area. A method performed by a server comprises determining at least one poor network quality area based on network status data from at least one of at least one terminal device, a network device, or an application server. The method further comprises sending information regarding the at least one poor network quality area to a terminal device.