5G Access Type Selection for UE Power and Efficiency
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Solution Overview
Problem
In 5G networks, existing technologies face challenges in efficiently selecting the optimal access type (3GPP or non-3GPP) for message transmission based on current conditions, which affects battery life and communication accuracy in user equipment devices.
Innovation Solution
The proposed solution involves determining the type of message and current conditions to select the appropriate access type for message transmission, allowing for the use of either 3GPP or non-3GPP access, and enabling the exchange of additional messages on the selected access or other accesses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If access type selection is optimized based on message type and conditions, then communication efficiency is improved and power consumption is reduced, but device complexity increases due to the need for condition determination and access selection logic
Solution Approach 1:
The patent implements dynamic access type selection where the system adapts its communication path based on real-time conditions. The UE determines current conditions (such as network availability, message priority, power state) and dynamically selects between 3GPP and non-3GPP accesses, making the system flexible and condition-dependent rather than static.
Solution Approach 2:
The patent performs preliminary condition determination and access type selection before message transmission. By evaluating conditions and selecting the optimal access type in advance, the system prepares the communication path proactively, avoiding last-minute decisions and reducing transmission delays.
2Reliability
If multiple accesses are monitored and evaluated for message transmission, then communication reliability is improved, but use of energy increases due to continuous monitoring and condition assessment
Solution Approach 1:
The patent changes operational parameters such as monitoring intensity, evaluation frequency, and access selection criteria based on current conditions. For example, during low-power states or for low-priority messages, the system reduces monitoring activity, while for high-priority messages it performs more thorough evaluations, thus adapting energy consumption to actual needs.
Solution Approach 2:
The patent applies partial monitoring and evaluation actions based on message characteristics. For certain message types or conditions, full evaluation of all accesses is performed, while for others, simplified or partial evaluation suffices, avoiding unnecessary energy expenditure while maintaining adequate reliability.
3Measurement precision
If access type selection is based on comprehensive condition assessment, then message transmission accuracy is improved, but loss of time increases due to condition determination and selection process
Solution Approach 1:
The patent performs condition assessment and access selection in advance before actual message transmission. By determining the optimal access type proactively and caching this information, the system eliminates time-consuming decisions during critical transmission moments, thus improving overall transmission accuracy without significant time penalty.
Solution Approach 2:
The patent implements feedback mechanisms where past transmission outcomes and current system state inform access selection decisions. By learning from previous transmissions and using feedback loops, the system refines its access selection accuracy over time, reducing the need for extensive condition assessment in each new message transmission.
Data Source
AI summary
This disclosure relates to techniques for selecting an access for transmitting messages on a 5G network. An access may be selected based on determined conditions in relation to one or more network policies and a message may be transmitted on the selected access.