Flexible QoS Handover via Dynamic Policy Selection

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Solution Overview

Problem

Wireless networks often fail to meet the varying Quality of Service (QoS) and Quality of Experience (QoE) requirements of user devices due to cell congestion or radio resource availability, leading to inconsistent service quality during handovers between base stations.

Innovation Solution

Implementing a method where a target base station receives multiple QoS policy profiles from a source base station, determines its own radio resource availability status, and autonomously selects a QoS policy profile to provide service quality within a defined range, ensuring seamless handovers and optimal resource allocation based on current conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the target base station uses a fixed QoS policy during handover, then the QoS parameters are stable and predictable, but the service quality cannot adapt to changes in radio resource availability status

Engineering Contradiction:

Improveservice quality adaptabilityVSAvoidQoS policy management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The QoS policy is transformed from a static fixed configuration to a dynamic selection mechanism. The target base station evaluates multiple QoS policy profiles based on real-time radio resource availability status and autonomously selects the most appropriate profile during handover, enabling the system to adapt service quality to changing network conditions while maintaining manageable complexity through predefined policy options

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the QoS parameter values based on radio resource availability status. Multiple QoS policy profiles with different parameter configurations (bandwidth, data rate, latency) are prepared in advance, and the appropriate profile is selected according to the current network state, allowing flexible adaptation without complex real-time calculations

Inventive Principle:

Principle #35Parameter changes

2Speed

If the target base station autonomously selects QoS policy profile, then the handover response speed increases, but the risk of suboptimal QoS selection increases

Engineering Contradiction:

Improvehandover response speedVSAvoidQoS selection accuracy

Core Design Contradiction:

SpeedVSReliability

Solution Approach 1:

Multiple QoS policy profiles are prepared and configured in advance before handover occurs. The source base station provides these profiles to the target base station during handover preparation, so that when handover executes, the target base station only needs to select from pre-evaluated options based on current radio resource status, ensuring both speed and reliability

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The target base station determines its radio resource availability status in real-time during handover and uses this feedback information to select the most appropriate QoS policy profile. This closed-loop approach ensures that the autonomous selection is based on accurate current network conditions, improving selection accuracy while maintaining fast response

Inventive Principle:

Principle #23Feedback

3Reliability

If multiple QoS policy profiles are provided for different radio resource availability statuses, then the service quality can be optimized for various conditions, but the information processing load increases

Engineering Contradiction:

ImproveQoS requirement fulfillmentVSAvoidbase station processing energy

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The QoS policy management is segmented into multiple discrete profiles, each optimized for specific radio resource availability conditions. Instead of continuously analyzing and adjusting QoS parameters, the system divides the solution space into predefined segments (profiles), making it easier to process and select appropriate policies based on current network status with reduced computational energy

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system uses lightweight QoS policy profiles that can be quickly evaluated and discarded. Each profile contains essential QoS parameters that can be rapidly compared against current radio resource status, enabling energy-efficient processing during handover without requiring complex real-time optimization calculations

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS11026133B2Flexible quality of service for inter-base station handovers within wireless network

Publication Date: 2021.06.01 NOKIA SOLUTIONS & NETWORKS OY

AI summary

Improving user experience during handover. Transmitting by a source base station to a target base station a handover request message including a range of QoS profiles, receiving by the source bases station from the target base station a handover request acknowledge message indicating the radio resources or QoS profile selected from the range of QoS profiles, transmitting by the source base station station an identified resource gap between the selected QoS profile of the target base station and the currently used QoS profile in the source base station to an experience management entity.