Network Capacity Adjustment via Experience Blocking Ratio
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Solution Overview
Problem
Current network capacity calculation methods fail to effectively satisfy user experience in data networks, particularly in mobile broadband, due to their inability to account for varying user experiences and traffic distributions, leading to unsatisfactory performance in terms of blocking ratios and quality of service.
Innovation Solution
A network capacity adjustment method that determines the experience blocking ratio based on concurrent users and equivalent channels, adjusting the network capacity to ensure user experience by querying a blocking ratio table to adjust the quantity of equivalent channels according to a target experience blocking ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional network capacity calculation methods (Erlang B/C formulas) are used, then the calculation is simple and based on average values, but the user experience requirements cannot be satisfied because individual user experiences are concealed
Solution Approach 1:
The patent segments the network user base into individual user entities, each with their own experience metrics. Instead of using a single average value for the entire network, the system calculates experience blocking ratios for each user based on their individual traffic characteristics, concurrent user count, and channel allocation, enabling precise measurement of each user's experience quality
Solution Approach 2:
The patent introduces an experience blocking ratio as an intermediary metric that bridges the gap between raw network parameters (concurrent users, channel count) and user experience quality. This intermediary metric enables the system to evaluate and adjust network capacity based on actual experience requirements rather than simple averages
2Reliability
If the quantity of equivalent channels is increased to satisfy all user experience requirements, then user experience is improved, but network resource waste increases when traffic is low
Solution Approach 1:
The patent implements dynamic adjustment of the quantity of equivalent channels based on real-time experience blocking ratios. The system continuously monitors user experience metrics and adjusts channel allocation dynamically, increasing channels when experience degradation is detected and reducing channels when traffic demand is low, thereby avoiding both experience satisfaction issues and resource waste
Solution Approach 2:
The patent changes the key parameter of channel quantity from a static configuration to a dynamic parameter that adjusts based on experience blocking ratio thresholds. By setting target experience blocking ratios and adjusting channel count accordingly, the system optimizes the balance between user experience satisfaction and network resource utilization
3Adaptability or versatility
If network capacity is adjusted based on average concurrent users, then the calculation is straightforward, but it fails to account for traffic distribution characteristics and arrival processes affecting user experience
Solution Approach 1:
The patent performs preliminary analysis of traffic distribution characteristics and arrival processes to establish experience blocking ratio calculations before actual network operation. By pre-defining target experience blocking ratios and establishing the relationship between traffic characteristics and channel requirements, the system prepares the framework for adaptive capacity adjustment without requiring complex real-time analysis during operation
Data Source
AI summary
A network capacity adjustment is described herein. The network device determines an experience blocking ratio of a cell based on a quantity of concurrent users of the cell and a quantity of equivalent channels of the cell, determines an experience blocking ratio of a cell based on a traffic volume distribution model in the cell, or determines an experience blocking ratio of a cell based on an actual experience rate of each session and a required single-user experience rate. The quantity of equivalent channels of the cell are adjusted based on the experience blocking ratio of the cell. A network capacity of the cell is adjusted based on the experience blocking ratio of the cell, so that an adjusted network capacity of the cell can satisfy user experience.