Adaptive Paging Strategy Optimizing Success Rate and Channel Occupancy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional cellular wireless networks face inefficiencies in paging wireless communication devices (WCDs) due to the lack of intelligent selection of coverage areas for initial page attempts, often resulting in failed page messages and resource wastage.
Innovation Solution
Implementing an adaptive paging scheme that selects coverage areas based on both historical paging success rates and current channel occupancies from a 'recent-response list' to optimize the probability of successful page delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional paging is performed in all coverage areas, then the probability of reaching the WCD increases, but network resource consumption and paging channel occupancy increase
Solution Approach 1:
The patent applies local quality by differentiating paging strategies across different coverage areas based on their specific characteristics. Coverage areas are categorized into different types (e.g., high mobility, low mobility, indoor, outdoor) and each type receives tailored paging treatment. This allows the network to concentrate resources on coverage areas with higher paging success probability while reducing or eliminating paging in areas with low success rates, thereby resolving the contradiction between reliability and resource consumption.
Solution Approach 2:
The patent changes the parameter of paging behavior by introducing dynamic paging strategies that adapt to coverage area characteristics and WCD mobility patterns. Instead of uniform paging across all areas, the system modifies paging parameters such as paging interval, paging channel selection, and coverage area inclusion based on historical performance data and current network conditions. This parameter adaptation enables optimized resource utilization while maintaining high paging success rates.
2Reliability
If paging attempts are made in coverage areas with high channel occupancy, then more WCDs may be reached, but paging failure rate increases due to resource unavailability
Solution Approach 1:
The patent implements dynamics by making paging strategies adaptive rather than static. The system continuously monitors coverage area characteristics, WCD mobility patterns, and paging success rates, then dynamically adjusts paging decisions in real-time. Coverage areas are re-categorized and paging parameters are updated based on changing conditions, allowing the system to avoid high-occupancy periods and areas while capitalizing on favorable conditions, thus resolving the contradiction between delivery success and channel occupancy.
Solution Approach 2:
The patent employs feedback mechanisms by collecting and analyzing historical paging performance data, WCD response patterns, and coverage area characteristics. This feedback information is used to refine paging strategies, identify high-performing coverage areas, and detect patterns in WCD mobility and availability. The feedback loop enables the system to learn from past paging attempts and optimize future paging decisions, avoiding coverage areas with high failure rates due to occupancy issues while maintaining high delivery success rates.
3Reliability
If repeated paging attempts are made after initial failure, then the chance of successful delivery increases, but network resources are wasted
Solution Approach 1:
The patent applies preliminary action by pre-categorizing coverage areas based on their paging characteristics and WCD mobility patterns before actual paging occurs. Historical data is analyzed in advance to identify which coverage areas tend to yield successful paging responses. When paging is needed, the system immediately directs attempts to pre-identified high-probability coverage areas, eliminating the need for repeated trial-and-error paging attempts and reducing both time loss and resource waste.
Solution Approach 2:
The patent implements partial action by selecting only the most promising coverage areas for paging attempts rather than exhaustively trying all possible coverage areas. Based on historical performance and current conditions, the system identifies a subset of coverage areas with the highest probability of success and concentrates paging resources on those areas. This partial approach achieves effective paging delivery without the excessive resource consumption that would result from attempting to page in all coverage areas.
Data Source
AI summary
Exemplary methods and systems may help to more intelligently provide adaptive paging. An exemplary method involves: (i) making a determination that a wireless communication device (WCD) should be paged, (ii) in response, selecting one or more coverage areas for an initial page attempt to the WCD, wherein the selected coverage areas are selected from recent-response list that indicates coverage areas via which a page response message was recently received from the WCD, and wherein selecting the coverage areas comprises, for each coverage area from the recent-response list, using both (a) a paging success rate for the coverage area and (b) a paging-channel occupancy of the coverage area as a basis for determining whether or not to select the coverage area for the initial page attempt, and (iii) initiating the initial page attempt to the WCD in the one or more selected coverage areas.