V2X Congestion Control via Channel Busy Ratio Feedback
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Solution Overview
Problem
In heavy load communication scenarios, existing V2X systems face challenges in effectively managing congestion, leading to collisions and interference among devices, which affects communication reliability and stability.
Innovation Solution
A congestion control method that measures the Channel Busy Ratio (CBR) and adjusts scheduling assignment (SA) and data channel resources based on priority, allowing for dynamic adjustment of transmission parameters to reduce interference and optimize performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If devices transmit data in heavy load scenarios without congestion control, then communication throughput is maintained, but collisions and interference increase, degrading communication reliability
Solution Approach 1:
The patent implements feedback mechanisms where devices continuously monitor Channel Busy Ratio (CBR) metrics and adjust their transmission parameters accordingly. The base station receives CBR reports from devices and sends back congestion control parameters, creating a closed-loop system that dynamically adapts to traffic conditions to maintain reliability while managing throughput
Solution Approach 2:
The patent introduces dynamic adjustment of transmission parameters including periodicity changes, resource pool reconfiguration, and power level modifications based on real-time congestion assessment. This allows the system to transition between different operational states to balance reliability and throughput requirements
2Reliability
If congestion control measures are implemented to reduce collisions, then communication reliability improves, but system complexity and control overhead increase
Solution Approach 1:
The base station serves as an intermediary that centralizes congestion control functions. Instead of each device independently managing congestion, the base station collects CBR measurements, determines appropriate control parameters, and distributes them to devices, thereby simplifying individual device complexity while maintaining system-wide reliability
Solution Approach 2:
The patent segments congestion control into distinct functional modules: CBR measurement at device level, congestion assessment at base station level, and parameter distribution back to devices. This modular approach reduces overall system complexity by dividing the control function across multiple components with clear interfaces
3Productivity
If transmission parameters are dynamically adjusted to optimize performance, then communication efficiency improves, but system stability may be compromised due to frequent changes
Solution Approach 1:
The patent implements periodic congestion control where transmission parameters are adjusted at scheduled intervals based on accumulated CBR measurements rather than continuously. This periodic approach allows the system to adapt to changing conditions while maintaining stability during intervals between adjustments, preventing excessive parameter fluctuations
Solution Approach 2:
The patent carefully manages parameter changes by introducing them gradually and selectively based on congestion severity thresholds. Instead of changing all parameters simultaneously, the system modifies specific parameters (periodicity, resource allocation, power levels) in a controlled manner to optimize efficiency while minimizing disruption to system stability
Data Source
AI summary
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The present disclosure provides a method for controlling congestion, including: a User Equipment (UE) measures a Channel Busy Ratio (CBR), and controls congestion based on the CBR and a priority; the UE transmits Scheduling Assignment (SA) indicating data channel resources, and correspondingly transmits data.