Dynamic Network Slice Assignment for Application QoS Changes
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Solution Overview
Problem
Existing network slicing technologies fail to provide on-demand, application-driven network slicing solutions for 5G networks, specifically in the field of environmental pollution control and purification technology, specifically involving the simultaneous removal of Hg0 from the field of environmental pollution control and purification technology, specifically in the field of environmental pollution control and purification technology, specifically involving the simultaneous removal of Hg0 from flue gas and Hg2+ from waste water.
Innovation Solution
Utilization of metal sulfides (e.g., FeS2, CuS, CuFeS2) as mercury removal adsorbents, which contact with flue gas and waste liquid, adsorbing and converting Hg0 from flue gas and Hg2+ from waste liquid into stable mercury sulfide compounds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional network slicing technologies are used, then network infrastructure is established, but on-demand application-driven slicing capability is lacking
Solution Approach 1:
The patent implements dynamic network slicing by enabling the network slice assignment function to automatically reassign network slices between different applications based on real-time QoS requirements. The system continuously monitors application performance and dynamically adjusts slice assignments without manual intervention, making the network slicing infrastructure adaptable to changing application demands.
Solution Approach 2:
The patent enables self-service network slicing management through automated monitoring and assignment mechanisms. The network slice assignment function autonomously evaluates QoS parameters, identifies applications requiring slice reassignment, and executes reassignment decisions without human intervention. This self-service approach reduces operational complexity while improving adaptability to on-demand slicing requirements.
2Productivity
If manual network slice assignment is performed, then network control is maintained, but time consumption and operational cost increase
Solution Approach 1:
The patent implements automated network slice assignment where the network slice assignment function autonomously monitors application QoS requirements and performs reassignments without manual intervention. The system automatically detects when an application needs a network slice, evaluates suitable slices, and executes the assignment, eliminating the time loss and operational delays associated with manual processes.
Solution Approach 2:
The patent establishes a feedback mechanism where the network slice assignment function continuously monitors application QoS performance and uses this feedback to trigger automated reassignment decisions. When QoS degradation is detected, the system receives feedback about the current state, evaluates alternative slice assignments, and automatically adjusts assignments to maintain optimal performance, significantly improving assignment efficiency.
3Reliability
If network slices are assigned to applications, then QoS requirements are met, but lack of automated monitoring and reassignment causes performance degradation
Solution Approach 1:
The patent implements automated monitoring through a network slice assignment function that continuously receives and processes QoS performance feedback from applications. The system monitors key performance indicators, compares actual performance against required thresholds, and automatically triggers reassignment actions when degradation is detected. This closed-loop feedback mechanism ensures reliable QoS guarantees while maintaining high levels of automation.
Solution Approach 2:
The patent enables self-service QoS management where the network slice assignment function autonomously monitors application performance, evaluates QoS compliance, and performs reassignments without human intervention. The automated monitoring and reassignment system maintains reliable QoS guarantees by continuously adapting slice assignments based on real-time conditions, eliminating the need for manual monitoring while ensuring service reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Achieves efficient, cost-effective, and environmentally friendly simultaneous removal of Hg0 from flue gas and Hg2+ from waste liquid, avoiding secondary pollution and reducing operational costs.
Implementation Method 1
metal sulfides (e.g., FeS2, CuS, CuFeS2) as mercury removal adsorbents, which contact with flue gas and waste liquid, adsorbing and converting Hg0 from flue gas and Hg2+ from waste liquid into stable mercury sulfide compounds
Implementation Method 2
adsorbing and converting Hg0 from flue gas and Hg2+ from waste liquid into stable mercury sulfide compounds
Data Source
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AI summary
Disclosed are various embodiments for managing assignments of network slices. In one embodiment, a request is received to allocate a network slice in a radio-based network having a radio access network and an associated core network to an application connected to the radio-based network. The request specifies a set of quality-of-service constraints required for the network slice. A set of network functions in the radio-based network is configured to implement the network slice.