Dynamic Mobile Network Service Control Policy Adjustment
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Solution Overview
Problem
Current mobile data network systems cannot dynamically adjust control policies based on real-time network state and user behavior, leading to inadequate protection of critical services during high load conditions, suboptimal QoS, and potential network overload.
Innovation Solution
A service control method and device that acquires relevant user service information and real-time network data to monitor the mobile network state, generating and adjusting user control policies to optimize bandwidth allocation and prevent overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile network operates with fixed control policies, then the system complexity is low and operation is simple, but the network cannot dynamically protect critical services during high load conditions
Solution Approach 1:
The patent implements dynamic control policies that automatically adjust bandwidth allocation based on real-time network load conditions. The system transitions from static to dynamic policy management, enabling the network to adaptively protect critical services during high load while maintaining simplicity through automated decision-making algorithms.
Solution Approach 2:
The service control system continuously monitors network state information and user behavior characteristics, then feeds this information back to dynamically adjust control policies. This closed-loop feedback mechanism enables intelligent protection of critical services by real-time policy adjustment without requiring complex manual intervention.
2Productivity
If the mobile network uses static control policies, then the system is simple to operate, but the network throughput and QoS cannot be optimized during low load conditions
Solution Approach 1:
The service control system operates autonomously by automatically monitoring network conditions and adjusting control policies without manual intervention. The system serves itself by making real-time decisions on bandwidth allocation and policy adjustment, thereby improving network throughput during low load conditions while maintaining operational simplicity.
Solution Approach 2:
The patent implements dynamic control policies that automatically adjust bandwidth allocation based on real-time network load conditions. The system transitions from static to dynamic policy management, enabling the network to adaptively protect critical services during high load while maintaining simplicity through automated decision-making algorithms.
3Reliability
If the mobile network does not implement dynamic load protection, then the control mechanism is simple, but the network cannot avoid overload conditions
Solution Approach 1:
The service control system performs preliminary actions by proactively monitoring network load trends and adjusting control policies before overload conditions occur. The system anticipates potential overload situations and takes preventive measures through dynamic policy adjustment, thereby protecting the network without requiring complex reactive mechanisms.
Solution Approach 2:
The service control system continuously monitors network state information and user behavior characteristics, then feeds this information back to dynamically adjust control policies. This closed-loop feedback mechanism enables intelligent protection of critical services by real-time policy adjustment without requiring complex manual intervention.
Data Source
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AI summary
Provided are a service control method and device. The method includes: acquiring related information of a user service and real-time status information of a service used by a user, wherein the related information includes: information needing to be referenced for regulating a control policy for the user service; based on the related information and real-time status information which are acquired, monitoring a current service status of a mobile network; and generating or adjusting user control policy information according to a result of the monitoring, and issuing the generated or adjusted user control policy information. The technical solution solves the problem in the related art of being unable to dynamically adjust the control policy of a user, thereby improving the mobile network quality, and improving the network experience of the user.