5G DTCH Bandwidth Adjustment for Autonomous Vehicle Overtaking
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Solution Overview
Problem
Current autonomous vehicle systems lack a mechanism to dynamically adjust 5G dedicated traffic channels (DTCH) bandwidth and Quality of Service Identifier (QCI) levels based on the importance of events during overtaking scenarios, leading to potential data congestion and suboptimal performance.
Innovation Solution
The system anticipates overtaking scenarios by leveraging machine learning models and 5G network slicing to dynamically allocate additional bandwidth to priority channels, using Virtual Network Functions (VNFs) and Programmability Frameworks to adjust Bandwidth, QCI, and Guaranteed Bits per second (GBR) for critical data transmission, thereby avoiding congestion and ensuring priority-based delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dynamic bandwidth adjustment is implemented for DTCH during overtaking scenarios, then data transmission reliability and priority delivery are improved, but system complexity and network resource management difficulty increase
Solution Approach 1:
The system performs preliminary actions by anticipating overtaking scenarios using machine learning models and proactively adjusting DTCH bandwidth and QCI parameters before the actual overtaking maneuver occurs. This prevents data congestion and ensures priority delivery without requiring complex real-time reactions during the overtaking event itself.
Solution Approach 2:
The system implements dynamic adjustments to DTCH bandwidth and QCI parameters based on real-time vehicle maneuver detection. The network dynamically allocates additional bandwidth to priority channels when overtaking is detected, then reverts to normal allocation after the maneuver completes, optimizing resource utilization while maintaining reliability.
2Speed
If additional bandwidth is allocated to priority channels during overtaking, then data transmission speed and latency performance are improved, but network resource consumption and subscription costs increase
Solution Approach 1:
The system implements periodic action by temporarily increasing bandwidth allocation to priority channels only during overtaking scenarios, then reverting to normal allocation levels after the maneuver completes. This ensures high-speed data transmission is available only when needed, optimizing the balance between performance and resource consumption.
Solution Approach 2:
The system changes network parameters (bandwidth, QCI, GBR) dynamically based on the detected maneuver type. When overtaking is detected, the system modifies DTCH parameters to allocate additional resources to priority channels, then reverts parameters to baseline values after the maneuver, ensuring resources are consumed only when performance is needed.
Data Source
AI summary
Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can be used to, in response to response to anticipating a maneuver to be performed by a vehicle, adjust one or more 5G dedicated traffic channels (DTCH) over a radio bearer network. Embodiments of the present invention can be used to revert the one or more adjusted 5G DTCH after the maneuver is performed by the vehicle.