UE Policy Updates Triggered by RF Band and RAT Changes

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Solution Overview

Problem

Existing wireless networks struggle to dynamically adjust UE policies in response to changes in radio frequency connections, leading to inconsistent Quality of Service (QoS) delivery due to variations in radio access technologies and bands.

Innovation Solution

The system automatically updates UE policies based on detected changes in radio frequency connections, such as shifts between different bands or radio access technologies, by monitoring and triggering policy updates through a core network element like PCF, which provides updated UE policies to the UE.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If UE policies are statically configured without dynamic updates, then device complexity is reduced, but Quality of Service consistency deteriorates due to radio frequency variations

Engineering Contradiction:
ImproveQuality of Service consistencyVSAvoidpolicy update mechanism complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system pre-configures multiple UE policies corresponding to different radio frequency connection characteristics (e.g., different bands, RAT types) before actual connection changes occur. When a connection change is detected, the system can immediately apply the pre-prepared appropriate policy without delay, ensuring QoS consistency while avoiding complex real-time policy generation mechanisms

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements a feedback mechanism where the Access and Mobility Management Function (AMF) monitors radio frequency connection characteristics and triggers policy updates from the Policy Control Function (PCF) when changes are detected. This closed-loop feedback ensures QoS consistency by dynamically adapting policies to current connection conditions without requiring complex manual intervention

Inventive Principle:
Principle #23Feedback

2Reliability

If UE policies are dynamically updated based on radio frequency changes, then Quality of Service consistency is improved, but system complexity increases

Engineering Contradiction:
ImproveQuality of Service consistencyVSAvoidnetwork system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the policy management functionality into distinct network functions: the AMF handles connection monitoring and trigger detection, while the PCF handles policy generation and update delivery. This segmentation allows each component to specialize in specific tasks, improving QoS consistency through coordinated dynamic updates while managing overall system complexity through functional decomposition

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The Policy Control Function (PCF) serves multiple purposes: it generates UE policies, stores them in a policy database, receives trigger indications from the AMF, and delivers updated policies to UEs. This multi-functionality consolidates what could be separate complex systems into a single universal policy management entity, improving QoS consistency while actually reducing overall system complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If manual policy updates are used, then automation level is reduced, but system complexity is minimized, yet response time to connection changes increases

Engineering Contradiction:
Improvepolicy update response speedVSAvoidpolicy update automation
Core Design Contradiction:
ProductivityVSExtent of automation

Solution Approach 1:

The AMF continuously monitors radio frequency connection characteristics and automatically triggers policy updates when changes are detected, eliminating manual intervention. This automated feedback loop ensures rapid response to connection changes (improving productivity) while maintaining manageable system complexity through standardized trigger-based mechanisms rather than fully complex autonomous systems

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system enables self-service automation where the network infrastructure (AMF and PCF) automatically detects connection changes and performs policy updates without human intervention. The AMF autonomously monitors connection characteristics, identifies when changes occur, and triggers appropriate policy updates, achieving high response speed while keeping automation at a practical level that doesn't require complex AI or decision-making systems

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20260006462A1Systems and methods for user equipment policy updates based on radio frequency connection characteristics
Publication Date: 2026.01.01 VERIZON PATENT & LICENSING INC
  • US20260006462A1 patent drawing
  • US20260006462A1 patent drawing
  • US20260006462A1 patent drawing

AI summary

A system described herein may receive, from a policy element of a core of a wireless network, a set of triggers associated with a plurality of radio frequency (“RF”) bands implemented by a radio access network (“RAN”). The system may identify that a User Equipment (“UE”) is connected to the RAN via a first RF band, and may identify a subsequent connection of the UE to the RAN via a second RF band. The system may identify that a particular trigger, of the set of triggers, is satisfied based on the subsequent connection of the UE to the RAN via the second RF band, and may indicate, to the policy element, that the particular trigger has been satisfied. The policy element may output a second set of UE policies for communications between the UE and the core of the wireless network based on the satisfaction of the particular trigger.