Adaptive Paging Range Based on UE Mobility Patterns

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Solution Overview

Problem

Current LTE network paging methods are inefficient as they often employ aggressive paging ranges even when the user equipment (UE) has been idle for a short time, leading to wasteful network traffic and reduced efficiency.

Innovation Solution

The method involves obtaining a history and mobility pattern of the UE, determining a confidence level for its location, and deriving a tailored paging range based on this confidence level, which can include a single node, multiple nodes, a tracking area, or multiple tracking areas, to optimize paging efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If aggressive paging range is used to reach UE quickly, then paging speed is improved, but network traffic increases and paging efficiency deteriorates

Engineering Contradiction:
Improvepaging speedVSAvoidpaging efficiency
Core Design Contradiction:
SpeedVSProductivity

Solution Approach 1:

The patent applies dynamics by making the paging range adaptive rather than static. The MME dynamically adjusts the paging range based on real-time UE mobility patterns and location history, selecting from multiple paging scopes (single eNodeB, multiple eNodeBs, tracking area, or multiple tracking areas) to optimize between speed and efficiency for each specific scenario

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of paging range scope based on UE behavior characteristics. By analyzing UE mobility patterns and location history, the system adjusts the paging scope parameter to match the actual UE location uncertainty, thereby improving paging efficiency while maintaining acceptable paging speed

Inventive Principle:
Principle #35Parameter changes

2Reliability

If wide area paging is initiated to ensure UE is reached, then paging reliability is improved, but network traffic increases

Engineering Contradiction:
Improvepaging reliabilityVSAvoidnetwork traffic
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent applies local quality by tailoring the paging scope to the specific UE's location characteristics rather than using a uniform wide-area approach for all UEs. The MME analyzes individual UE mobility patterns and applies different paging scopes locally to each UE based on its specific behavior, thereby maintaining reliability while reducing unnecessary network traffic

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent uses partial action by initiating paging only in the necessary scope rather than always performing full wide-area paging. By determining the appropriate paging scope based on UE mobility patterns, the system performs only the necessary paging action required to reach the UE, avoiding excessive paging in areas where the UE is unlikely to be present

Inventive Principle:
Principle #16Partial or excessive action

3Reliability

If paging is performed regardless of UE status and time, then paging coverage is improved, but paging efficiency deteriorates

Engineering Contradiction:
Improvepaging coverageVSAvoidpaging efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent applies preliminary action by pre-analyzing UE mobility patterns and location history before initiating paging. The MME prepares the appropriate paging scope in advance based on the UE's historical behavior, so when paging is needed, the system can immediately execute the pre-determined optimal scope without wasting time or resources on unnecessary paging areas

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS9591613B2Adaptive paging using user equipment localization method in a network
Publication Date: 2017.03.07 NOKIA OF AMERICA CORP
  • US9591613B2 patent drawing
  • US9591613B2 patent drawing
  • US9591613B2 patent drawing

AI summary

Methods and systems for improving paging efficiency of a user equipment method including obtaining a history of the user equipment, the history including one or more past locations of the user equipment, obtaining a mobility pattern of the user equipment, the mobility pattern including one or more of a plurality of mobility categories, determining a confidence level for an associated location of the user equipment based on at least one of the mobility pattern and the history, the confidence level indicating a level of confidence that the user equipment is at the associated location, and deriving a paging range based on the confidence level, the paging range including one of a plurality of paging scopes, each of the plurality of paging scopes including at least one of a geographic or location extent, a paging frequency, a single node, a plurality of nodes, a tracking area and a plurality of tracking areas.