Network Handover Decision Using User Preference Weights
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Solution Overview
Problem
Current network handover methods in wireless local area networks (WLANs) primarily rely on objective parameters like RSSI and data rates, failing to consider user preferences and historical network experiences, which can lead to suboptimal network selection and user dissatisfaction.
Innovation Solution
A method and device for network handover that acquire and analyze historical network-related events to determine preference thresholds and weights for attributes such as network speed, data traffic, and security, calculating an evaluation value to decide whether to hand over to a new network based on user preferences and providing feedback-driven updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network handover is triggered based on objective parameters like RSSI and data rates, then network selection can be automated and rapid, but user preferences and historical network experiences are not considered leading to suboptimal network selection
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing historical network-related events and user feedback before making handover decisions. Preference information including thresholds and weights are pre-calculated based on past behavior patterns, enabling the system to quickly compare current network conditions against established preferences during actual handover scenarios, thus achieving both speed and accuracy
Solution Approach 2:
The patent introduces a new dimension of decision-making by incorporating user preference information alongside traditional objective parameters. Instead of relying solely on RSSI and data rates, the system evaluates multiple dimensions including user-defined thresholds, historical performance, and feedback-based weights, creating a multi-dimensional assessment framework that improves selection accuracy without significantly impacting handover speed
2Reliability
If multiple network attributes are evaluated with different weights to determine user preference, then network selection can be optimized for user needs, but the complexity of the handover decision system increases
Solution Approach 1:
The system implements self-service by automatically calculating preference thresholds and weights based on collected historical network events and user feedback. Instead of requiring manual configuration of multiple weighted attributes, the system learns and adjusts its own decision parameters from observed behavior patterns, thereby improving network selection quality while keeping the user interface simple and the operational complexity low
Solution Approach 2:
The patent incorporates feedback mechanisms where user responses to network handovers are collected and used to refine preference information. The system monitors whether handover recommendations are accepted or rejected and uses this feedback to adjust weights and thresholds iteratively, enabling continuous improvement of network selection quality while maintaining a relatively simple decision framework through learned patterns
Data Source
AI summary
A method for network handover includes acquiring status information of a current network and network preference information. It is determined whether the current network satisfies the acquired network preference information and the acquired status information. A network handover indication related to the current network is generated according to a result of the determination.