Access Network Convergence Ratio Calculation Method
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Solution Overview
Problem
Current methods for determining service convergence ratio in access networks are inaccurate, failing to reflect the actual performance of each interface, leading to inefficient resource utilization and suboptimal network planning, especially in narrowband access networks, and lack a bandwidth convergence ratio for broadband access networks.
Innovation Solution
Classifying uplink ports into different trunks based on their types and calculating service or bandwidth convergence ratios according to available slots, subscriber support, and bandwidths, with recursive methods for sub-trunks, to provide accurate and detailed network planning information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the service convergence ratio is determined from the maximal number of configurable V5 interfaces and the maximal number of supportable subscribers, then the calculation is simple, but the result cannot accurately reflect the actual service convergence ratio of each interface
Solution Approach 1:
The patent segments the access equipment into multiple V5 interfaces, and further segments each interface into individual 2M links. The service convergence ratio is calculated separately for each 2M link rather than for the entire access equipment or interface aggregate. This segmentation enables precise measurement of the actual service convergence ratio for each link while maintaining a systematic calculation approach that does not overly complicate the overall method.
2Quantity of substance
If the access equipment is planned to support a large number of subscribers, then the network capacity is sufficient, but the resource utilization may be inefficient due to inaccurate convergence ratio information
Solution Approach 1:
The patent implements a feedback mechanism where the actual service convergence ratio of each 2M link is calculated and fed back to the network management system. This feedback information enables dynamic adjustment of subscriber allocation and resource configuration, ensuring that the large network capacity is utilized efficiently. The feedback loop allows operators to identify underutilized links and rebalance subscriber distribution, thereby improving overall resource utilization while maintaining sufficient capacity for large numbers of subscribers.
Data Source
AI summary
A method for obtaining a convergence ratio. Uplink ports of an access/convergence device in the access network are classified into different trunks according to their types. The method includes: determining whether the network is a narrowband access network, and if so, obtaining the service convergence ratio of a trunk according to the number of available slots provided by the trunk for instant services and the number of instant service subscribers supported by the trunk, and if not, determining whether the trunk includes a sub-trunk, and if it does not include a sub-trunk, obtaining the bandwidth convergence ratio of the trunk according to the trunk bandwidth of the trunk and the service bandwidth; if so, obtaining the bandwidth convergence ratio of the trunk according to the trunk bandwidth of the trunk, the service bandwidth and the sub-trunk service bandwidth.