Dynamic Uplink Radio Resource Allocation for ITS Base Stations
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Solution Overview
Problem
Current Intelligent Transport Systems (ITS) enabled cellular mobile networks face uplink congestion issues, particularly in scenarios with large peaks of vehicle communication, leading to Quality of Service (QoS) degradation and potential message dropping, especially in security-critical applications like Road Hazard Warning (RHW), where stringent reliability and low latency are required.
Innovation Solution
The implementation of an evaluation module and control module in base stations to categorize warning messages as primary or follow-up events, dynamically adapting uplink radio resources based on the message category and estimated number of affected vehicles, thereby optimizing resource allocation and preventing congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uplink radio resources are statically allocated to handle peak vehicle communication load, then message transmission reliability is improved, but resource wastage increases during low traffic periods
Solution Approach 1:
The patent implements dynamic uplink radio resource allocation where the base station continuously monitors warning message traffic patterns and adjusts resource allocation in real-time. When traffic peaks are detected, resources are automatically increased to maintain reliability; during low traffic periods, resources are reduced to eliminate wastage. This dynamic adaptation resolves the contradiction between maintaining high reliability and avoiding resource wastage.
Solution Approach 2:
The system changes key parameters of uplink radio resource allocation based on traffic conditions. The base station monitors message rates, affected vehicle counts, and event severity to dynamically adjust transmission power, bandwidth allocation, and resource block assignments. These parameter changes enable the system to maintain optimal performance across varying traffic conditions without static over-provisioning.
2Reliability
If uplink radio resources are increased to handle large peaks of warning messages, then QoS is maintained, but network congestion worsens due to over-provisioning
Solution Approach 1:
The patent employs dynamic resource allocation that responds to real-time traffic conditions. The base station monitors the rate of warning messages, categorizes events by severity, and adjusts uplink resources proportionally. This prevents both under-provisioning during peaks and over-provisioning during low traffic, maintaining QoS while optimizing network efficiency and preventing congestion.
Solution Approach 2:
The system applies partial resource allocation based on actual need rather than providing full resources continuously. By categorizing events and estimating affected vehicle counts, the base station allocates resources proportionally to the severity and scale of each event, avoiding excessive resource consumption while maintaining adequate QoS for critical communications.
3Reliability
If all warning messages are treated equally with full resource allocation, then message delivery reliability is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent applies different resource allocation strategies to different types of warning messages based on their characteristics. The base station categorizes events by severity and estimates the number of affected vehicles, then allocates resources locally optimized for each message type. Critical messages receive full resources for guaranteed delivery, while less critical messages receive proportionally fewer resources, improving overall utilization efficiency while maintaining adequate reliability.
Solution Approach 2:
The system changes resource allocation parameters based on message characteristics. By analyzing event severity, affected vehicle counts, and message priorities, the base station dynamically adjusts transmission power, bandwidth, and resource blocks for each warning message. This parameter adaptation ensures critical messages achieve high reliability while non-critical messages consume fewer resources, optimizing overall system efficiency.
4Productivity
If the number of base station modules for message processing is increased, then message processing capability is improved, but device complexity increases
Solution Approach 1:
The patent implements a multi-functional evaluation module within the base station that performs multiple processing tasks using a unified architecture. The module categorizes warning messages, estimates affected vehicle counts, determines event severity, and dynamically allocates resources all through integrated algorithms rather than separate dedicated hardware components. This universal approach improves processing capability while avoiding the complexity of multiple specialized modules.
Solution Approach 2:
The system merges multiple message processing functions into a single integrated evaluation module at the base station. Rather than deploying separate modules for message categorization, affected vehicle estimation, severity assessment, and resource allocation, the patent combines these functions into one cohesive processing unit. This consolidation improves overall processing capability while reducing device complexity through functional integration.
Data Source
AI summary
An Intelligent Transport System enabled cellular mobile network, comprising an infrastructure including a number of base stations (5), and a number of vehicles (4) being equipped with both vehicle-to-vehicle and vehicle-to-infrastructure communication facilities, wherein particular events function as trigger for said vehicles (4) to send event specific warning messages to their serving base station (5a) within said infrastructure, is characterized in that said base stations (5) comprise an evaluation module being configured to analyze and categorize warning messages received from any of said vehicles (4) according to predefinable criteria, and to estimate the number of vehicles (4) that may be affected by the event related to a warning message, and a control module for performing uplink radio resource adaptation dependent on said warning message's category and said estimated number of affected vehicles (4).