UE Radio Access Technology and Bandwidth Part Selection
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Solution Overview
Problem
Current technologies fail to provide adequate solutions for optimizing 4G and 5G radio access technologies (RATs) for performance and efficiency, particularly in transitioning between 4G and 5G RATs based on usage, availability, congestion, and battery conservation.
Innovation Solution
The implementation of techniques that enable user equipment (UE) to select optimal RATs and radio resources, such as bandwidth parts (BWPs), based on factors like current RAT usage, application requirements, network congestion, and mode of operation, allowing for seamless switching between 4G and 5G RATs and appropriate BWP selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If UE continuously monitors and switches between 4G and 5G RATs to optimize performance, then communication performance and efficiency are improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple RATs (4G and 5G) and their corresponding parameters before actual communication occurs. The UE stores RAT information including bandwidth parts, reference signals, and switching thresholds in advance, enabling rapid selection and switching without complex real-time analysis, thus reducing device complexity while maintaining optimization capability.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting RAT selection based on measurable parameters such as signal strength, network congestion levels, and battery status. The system switches between 4G and 5G RATs by changing operational parameters rather than requiring complex decision architecture, simplifying the device while achieving performance optimization through parameter-driven decisions.
2Adaptability or versatility
If UE dynamically switches between different RATs and bandwidth parts to adapt to network conditions, then adaptability and performance are improved, but energy consumption increases
Solution Approach 1:
The patent applies periodic action by implementing threshold-based switching mechanisms that trigger RAT changes only when specific conditions are met (e.g., signal strength thresholds, congestion levels). This periodic evaluation rather than continuous monitoring reduces energy consumption while maintaining adaptability, as the system checks network conditions at discrete intervals or when triggered by significant changes rather than continuously processing data.
Solution Approach 2:
The patent implements self-service by enabling the UE to autonomously make RAT selection decisions based on pre-configured criteria and local measurements without requiring constant network control or complex processing. The device uses simple comparison logic against stored thresholds to determine when switching is needed, reducing computational energy while maintaining adaptive behavior.
3Reliability
If the network provides multiple bandwidth parts and radio resources for 5G RAT, then service quality and bandwidth availability are improved, but network complexity and resource management difficulty increase
Solution Approach 1:
The patent applies segmentation by dividing the 5G bandwidth into multiple discrete bandwidth parts (BWPs) that can be independently configured and selected. Each BWP is a separate, manageable unit with specific characteristics, allowing the network to offer differentiated service quality through simple BWP selection rather than managing a monolithic complex resource allocation system. This segmentation simplifies resource management while enabling diverse service quality guarantees.
Data Source
AI summary
Techniques described herein may enable a user equipment (UE) to optimize radio access technology (RAT) and radio resources (e.g., bandwidth parts (BWPs)) when communicating with the network. This may be based on one or more factors or conditions, such as whether the UE is currently using 4th generation (4G) RAT or 5th generation (5G) RAT, whether the UE is in an active mode or idle mode, a BWP used by the UE, whether an application or network service requires a certain throughput, a type of application being used by the UE, an amount of network congestion, and so on. RAT optimization may also be based on whether the UE is using a frequency range 1 (FR1) or frequency range 2 (FR2), whether the UE is stationary or moving, whether the UE is experiencing beam failures, uplink (UL) switches, link quality measurements (LQMs), reference signal received power (RSRP) measurements, and so on.