Decentralized Overload Control for Wireless Channel Load Management
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Solution Overview
Problem
Current decentralized overload control methods in wireless communication systems for vehicle-to-X networks face challenges in managing rapidly changing channel loads and ensuring reliable data transmission, especially under high mobility and density conditions, leading to inefficiencies in packet error rates, collisions, and latency.
Innovation Solution
The method introduces a decentralized overload control system with a relaxed state and five activated states, each defined by specific channel load percentages, along with congestion control profiles, to manage data transmission intervals and prioritize messages based on importance, thereby optimizing bandwidth usage and reducing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If decentralized overload control with multiple activated states is implemented, then reliability of data transmission is improved, but device complexity increases
Solution Approach 1:
The overload control system is segmented into seven distinct states (one relaxed state, five activated states, and one restricted state), each handling specific channel load ranges. This segmentation allows the system to respond appropriately to different load conditions without requiring complex real-time calculations, thereby improving reliability while managing complexity through structured state definitions.
Solution Approach 2:
The system changes parameters (data transmission intervals) based on the current state. Each of the five activated states has specific transmission interval configurations that optimize performance for particular channel load conditions. This parameter-based approach simplifies control logic compared to continuous adjustment mechanisms.
2Productivity
If data transmission intervals are extended in activated states, then productivity is improved, but loss of time increases
Solution Approach 1:
The system dynamically adjusts data transmission intervals based on the current channel load and active state. During high load conditions, longer intervals prevent congestion and improve overall system productivity by reducing collisions. During low load conditions, the system transitions to shorter intervals, minimizing transmission delays and maintaining responsiveness.
Solution Approach 2:
Data transmission occurs in periodic intervals rather than continuously. The five activated states define different periodic intervals optimized for their respective channel load ranges. This periodic approach balances productivity (by allowing processing time between transmissions) and time loss (by using appropriately short intervals based on current conditions).
Data Source
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AI summary
The invention relates to a method for configuring a data transmission via a transmission channel of a wireless communication system (20) with local overload control (16), wherein the local overload control (16) comprises a relaxed state (Rel), an activated state and a restricted state (Res). There is provision for five activated states (A1, A2, A3, A4, A5) to be provided, the categorisation of which is based on a channel load (CL) in the transmission channel.