5G Vehicle Edge Server Resource Allocation
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Solution Overview
Problem
The increasing demand for computing and data storage resources is not met efficiently due to scarcity at edge locations, while idle 5G-enabled vehicles equipped with premium processing resources are underutilized, leading to resource wastage.
Innovation Solution
A method to identify and allocate available processing resources from idle 5G-enabled vehicles to serve as edge servers, providing computing and data storage services to user equipment in proximity, forming a mesh network for enhanced resource utilization and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If idle 5G-enabled vehicles are utilized as edge servers, then computing resource availability increases, but system complexity increases
Solution Approach 1:
The patent enables 5G-enabled vehicles to serve dual purposes: their primary transportation function and as mobile edge servers providing computing resources. The vehicle's existing processing resources (CPU, GPU, storage) are repurposed to handle edge computing tasks, allowing the same hardware to fulfill multiple roles without requiring dedicated edge server infrastructure in every location.
Solution Approach 2:
The system dynamically selects and allocates computing resources from vehicles based on real-time conditions such as vehicle proximity, operational state, power state, and current computing load. The resource allocation is flexible and adaptable, allowing the network to optimize which vehicles serve as edge servers at any given moment, rather than relying on a static infrastructure.
2Loss of time
If distributed vehicle resources are allocated to edge computing, then network latency decreases, but resource reliability becomes more challenging to ensure
Solution Approach 1:
The patent implements continuous monitoring of vehicle operational states, power states, and computing resource availability. The system receives feedback from vehicles about their current status and adjusts resource allocation accordingly. This feedback mechanism ensures that only vehicles in suitable states (idle operation, sufficient power, available resources) are selected as edge servers, maintaining reliability while achieving low latency.
Solution Approach 2:
The system performs preliminary assessments of vehicle suitability before allocating computing tasks. It checks operational state, power state, and resource availability in advance, ensuring that selected vehicles are reliable candidates for edge computing operations. This preliminary filtering prevents task allocation to unsuitable vehicles, maintaining system reliability.
3Productivity
If 5G-enabled vehicles serve as edge servers, then resource utilization efficiency improves, but security risks increase
Solution Approach 1:
The patent introduces a resource allocation system that acts as an intermediary between vehicles and end users. This intermediary manages authentication, authorization, and task allocation, isolating vehicles from direct user access. The system verifies vehicle identity and permissions before allowing resource allocation, and manages the interaction between vehicles and computing tasks, reducing security risks while enabling efficient resource utilization.
4Power
If premium processing resources in vehicles are used for edge computing, then computing capacity increases, but vehicle operational autonomy may be compromised
Solution Approach 1:
The patent allocates only the portion of vehicle processing resources that is idle and not needed for primary vehicle operations. The system checks operational state to ensure the vehicle has sufficient computing capacity reserved for its own functions before allocating excess resources to edge computing tasks. This partial allocation approach enables increased computing capacity while preserving vehicle operational autonomy.
Data Source
AI summary
Systems and methods for allocating processing resources of 5G-enabled vehicles for endpoint users are provided. In one example, a method includes: receiving a request from a user equipment (UE) in an endpoint environment, the request indicating a demand for processing resources on an edge server to perform a task for the UE; identifying a first 5G-enabled vehicle in proximity to the endpoint environment; determining an operational state and a power state of the first 5G-enabled vehicle; determining availability of a first processing resource carried by the first 5G-enabled vehicle; determining whether the first processing resource carried by the first 5G-enabled vehicle meets the demand of the user equipment; and allocating the first processing resource carried by the first 5G-enabled vehicle and causing the first 5G-enabled vehicle to serve as an edge server to perform the task for the user equipment using the allocated first processing resource.