Wireless Network Slice Handover Using RSRP and SNR Thresholds
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Solution Overview
Problem
Wireless communication networks struggle to effectively utilize radio signal levels to control the use of wireless network slices and efficiently handover devices between them, especially in challenging conditions like distance and interference.
Innovation Solution
A data communication system that uses network and radio communication systems to select and switch wireless network slices based on radio signal parameters and levels, including RSRP, SNR, and data throughput, to optimize network usage and handovers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless communication networks use network slices to serve devices in challenging conditions, then service coverage and reliability are improved, but the complexity of controlling slice selection and handover based on radio signal levels increases
Solution Approach 1:
The wireless communication device autonomously monitors its own radio signal levels (RSRP, SNR) and independently selects appropriate network slices based on predefined thresholds, eliminating the need for complex network-side control mechanisms. The device self-determines when to switch slices based on its own measurements against configured criteria.
Solution Approach 2:
The system implements a feedback mechanism where the device continuously monitors radio signal levels and compares them against threshold values, automatically triggering slice selection or handover decisions when thresholds are breached, creating a closed-loop control system that adapts to changing radio conditions.
2Productivity
If wireless communication networks implement automated slice selection based on radio signal levels, then handover efficiency is improved, but the measurement and decision-making complexity increases
Solution Approach 1:
The device performs autonomous measurement of radio signal parameters (RSRP, SNR) and self-determines slice selection based on predefined thresholds, eliminating the need for complex network-side measurement and decision-making infrastructure.
Solution Approach 2:
The system uses predefined threshold values for radio signal parameters (RSRP, SNR) that trigger slice selection or handover decisions, transforming continuous radio measurements into discrete decision points that simplify the control logic while maintaining responsiveness to signal quality changes.
3Adaptability or versatility
If wireless communication networks fail to effectively use radio signal levels for slice control, then device autonomy is maintained, but network service optimization and adaptability deteriorate
Solution Approach 1:
The wireless device autonomously adapts its network slice selection based on its own radio signal measurements, enabling the network to respond dynamically to changing radio conditions without requiring complex centralized control mechanisms.
Solution Approach 2:
The system adapts network slice selection by monitoring changes in radio signal parameters (RSRP, SNR) and transitioning between slices based on predefined threshold criteria, enabling flexible adaptation to varying radio conditions through simple parameter-based decision rules.
Data Source
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AI summary
A data communication system selects an original wireless network slice for a wireless communication device. The data communication system identifies one or more radio signal parameters for the original wireless network slice. The data communication system determines one or more radio signal levels for the wireless communication device. The data communication system selects a different wireless network slice for the wireless communication device in response to the one or more radio signal parameters for the original wireless network slice and the one or more radio signal levels for the wireless communication device.