IEEE 802.11p V2X Test Method for High-Speed Network Performance
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Solution Overview
Problem
Existing test methods for IEEE 802.11p protocol-based wireless network systems in the Internet of Vehicles, particularly those involving high-speed moving nodes, fail to accurately evaluate network performance due to simplifications and assumptions in simulation software and static test bed setups, leading to significant deviations from actual system performance.
Innovation Solution
A method involving vehicle-to-vehicle and vehicle-to-roadside communication tests where vehicles are driven at constant speeds with communication units capable of IEEE 802.11p protocol communication, calculating throughput and round trip time to assess network performance using specific equations, and determining performance levels based on weighted averages of these metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If network simulation software is used for testing, then test cost is reduced and setup is simplified, but measurement precision deteriorates due to simplifications and assumptions on parameters or models
Solution Approach 1:
The patent transitions from static simulation environments to dynamic real-world testing by deploying communication nodes in actual moving vehicles. The test system captures network performance under real motion conditions, including Doppler frequency shifts and signal fading, thereby achieving both practical feasibility and measurement accuracy.
Solution Approach 2:
Instead of creating simplified simulation models that compromise accuracy, the patent directly copies real-world testing conditions by deploying actual communication equipment in vehicles. This eliminates the need for approximations while maintaining test simplicity through standardized measurement protocols.
2Measurement precision
If wireless network test bed is used for testing, then measurement precision can be maintained, but device complexity increases and testing is limited to static deployments
Solution Approach 1:
The patent transforms the static test bed into a dynamic system by mounting communication nodes in vehicles that move at high speeds. This enables testing under realistic motion conditions while using relatively simple off-the-shelf communication equipment, avoiding the need for complex specialized test infrastructure.
Solution Approach 2:
The moving vehicles themselves serve as the test environment, eliminating the need for complex controlled test beds. The real road infrastructure and natural propagation conditions provide the testing environment, reducing device complexity while maintaining measurement validity.
3Device complexity
If static test bed deployment is used, then device complexity is reduced, but reliability deteriorates when terminals move at high speeds due to severe Doppler frequency shift
Solution Approach 1:
The patent explicitly designs the test system to operate dynamically in high-speed moving vehicles, capturing real-world performance under Doppler frequency shift and signal fading conditions. This ensures reliability assessment is valid for the intended high-speed application scenario.
Solution Approach 2:
The patent converts the harmful effect of Doppler frequency shift and signal fading, which deteriorate network performance in high-speed scenarios, into beneficial test conditions. By deliberately testing under these challenging conditions, the system accurately evaluates and optimizes performance in the intended high-speed application environment.
4Speed
If IEEE 802.11p protocol is used for vehicular communication, then transmission delay is reduced and transmission rate is increased, but measurement precision deteriorates in existing test methods due to inability to handle high-speed motion
Solution Approach 1:
The patent implements dynamic testing of IEEE 802.11p protocol in moving vehicles, capturing real performance metrics under high-speed conditions. This enables accurate measurement of transmission rate and delay characteristics specific to vehicular communication, validating the protocol's performance claims in the intended application scenario.
Solution Approach 2:
The test system continuously monitors and records network performance metrics during vehicle motion, providing feedback on actual transmission rates and delays. This empirical data validates or refines the theoretical performance characteristics of IEEE 802.11p under real-world high-speed conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a more comprehensive and accurate evaluation of network performance by considering both throughput and round trip time, improving the assessment of IEEE 802.11p protocol-based wireless network performance, especially in high-speed scenarios, and reducing the impact of unstable or invalid sample values.
Implementation Method 1
IEEE 802.11p protocol-based vehicle-to-roadside and vehicle-to-vehicle communication test methods
Implementation Method 2
a Doppler frequency shift is generated due to high-speed moving of a terminal
Data Source
AI summary
An IEEE 802.11p protocol-based vehicle-to-roadside and vehicle-to-vehicle communication test method oriented to the Internet of Vehicles. The method includes: driving a host vehicle and a target vehicle at a same speed on a road segment; the host vehicle being located behind the target vehicle; a constant distance is maintained between the host vehicle and the target vehicle; the host vehicle is equipped with a host vehicular communication unit, the target vehicle is equipped with a target vehicular communication unit communicating with the host vehicular communication unit; calculating a throughput and a round trip time RTT from the target vehicular communication unit to the host vehicular communication unit; repeating driving the host vehicle and target vehicle N times, and calculating an average throughput and an average round trip time (RTT) of the N times; and calculating a network performance parameter η according to the average throughput and the RTT.