Edge Task Offloading Control for Energy and EMF Exposure
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Solution Overview
Problem
Offloading computing tasks in multi-access edge computing generates additional communication traffic and electromagnetic field exposure, leading to network congestion and user exposure issues.
Innovation Solution
A method for offloading computing tasks that classifies tasks based on technical characteristics, estimates latency and power reduction, and minimizes electromagnetic field exposure by using proximity sensors and antenna patterns to determine optimal offloading strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If computing tasks are offloaded from user terminal to cloud or edge host, then computing power consumption at user terminal is reduced and latency constraints are met, but communication traffic increases causing network congestion and electromagnetic field exposure
Solution Approach 1:
The patent segments computing tasks into different categories (movable and non-movable) based on technical characteristics, and further segments the offloading decision process into multiple evaluation criteria including electromagnetic field exposure assessment. This segmentation allows selective offloading of only suitable tasks while maintaining local execution of others, thereby reducing overall communication traffic.
Solution Approach 2:
The patent introduces dynamic evaluation criteria for task offloading, including real-time assessment of electromagnetic field exposure, latency constraints, and power consumption benefits. The system dynamically adjusts offloading decisions based on current network conditions, user proximity to terminal, and task characteristics, rather than using static offloading rules.
2Use of energy by moving object
If computing tasks are offloaded to reduce user terminal power consumption, then energy efficiency improves, but user exposure to electromagnetic fields increases
Solution Approach 1:
The patent implements a feedback mechanism that evaluates electromagnetic field exposure as a criterion for task offloading decisions. The system monitors exposure levels and uses this information to determine whether offloading a particular task would result in acceptable exposure, creating a closed-loop control system that balances energy savings with health safety.
Solution Approach 2:
The patent changes the decision parameters for task offloading by introducing electromagnetic field exposure as a new criterion alongside traditional metrics like power consumption and latency. This parameter change fundamentally alters the offloading strategy from purely energy-based decisions to multi-criteria decisions that include health safety considerations.
3Productivity
If more tasks are offloaded to edge hosts, then computing capabilities are enhanced and latency is reduced, but communication resources are consumed and network congestion increases
Solution Approach 1:
The patent applies partial action by offloading only a subset of computing tasks to edge hosts rather than all tasks. The system selectively identifies movable tasks based on technical characteristics and offloads only those that meet specific criteria, leaving non-movable or unsuitable tasks to be executed locally, thereby optimizing the balance between computing efficiency and resource consumption.
Data Source
Figure 1~2
AI summary
Method of offloading computing tasks between a user terminal (UE1, UE2, UEm) and an edge host equipment (EH) in a communication network according to a multi-access edge computing technique, comprising steps of: - Offloading data necessary for the execution of the computation from the user terminal to the edge host equipment, - Transmitting data resulting from the computation performed by the edge host equipment, from the edge host equipment to the user terminal, Characterized in that the data offloading is controlled (CD1) on the basis of joint criteria of energy efficiency and minimization of exposure to electromagnetic fields of a user of the user terminal.