Transceiver Tuning Exceptions for Portable Network Module Configuration
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Solution Overview
Problem
Configuring tuning parameters for modular transceivers in network devices is complex and requires expertise, as standard values may not be portable across different modules or slots, and tuning exceptions are often not easily implemented due to variations in transceiver models and network device attributes.
Innovation Solution
A system and method for configuring transceiver modules using tuning exceptions based on attribute values, allowing for the definition of tuning exceptions in a file that maps attribute combinations to specific tuning parameter values, enabling automatic configuration based on transceiver and network device attributes, with support for user-provided overrides.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standard tuning parameter values are used for transceiver modules, then configuration is simple, but the parameters may not be portable across different modules or slots
Solution Approach 1:
The system automatically detects transceiver module attributes and selects appropriate tuning parameters without requiring manual user configuration. The network device self-configures by matching detected attributes against stored tuning exception definitions, eliminating the need for users to manually port parameters across different modules while ensuring correct parameter application.
Solution Approach 2:
The system stores multiple sets of tuning parameters with different attribute values and automatically selects the appropriate set based on the detected transceiver module attributes. This allows the system to adapt parameters dynamically based on the specific module and slot configuration, achieving both simplicity and portability.
2Reliability
If tuning exceptions are defined for specific transceiver modules and slots, then performance can be optimized, but the configuration requires great knowledge or expertise
Solution Approach 1:
The network device automatically performs attribute detection, matching, and parameter selection without requiring user expertise. The system self-configures tuning exceptions by comparing detected transceiver attributes against stored definitions and automatically applying the appropriate parameters, making advanced performance optimization accessible to typical users.
Solution Approach 2:
Tuning exception definitions are pre-configured and stored in the network device before runtime. These definitions contain attribute-value combinations and corresponding tuning parameters, allowing the system to quickly match and apply appropriate settings during operation without requiring users to perform complex configuration tasks.
3Reliability
If individual tuning parameters are specified for each transceiver module and slot, then performance can be optimized, but the parameters are not portable across different modules or slots
Solution Approach 1:
The system uses attribute-based definitions that can match multiple transceiver modules and slots with similar characteristics. A single tuning exception definition with generic attribute patterns can apply to multiple different module-slot combinations, making the configuration management universal rather than requiring individual specifications for each module and slot.
Solution Approach 2:
The system stores tuning parameters associated with attribute value combinations rather than hardcoding them to specific modules or slots. When a transceiver module is detected, the system changes parameters dynamically by selecting the set that matches the detected attributes, enabling portability across different modules and slots while maintaining optimized performance.
4Extent of automation
If attribute-based tuning exception definitions are implemented, then configuration becomes automated, but the system complexity increases
Solution Approach 1:
The tuning exception definitions are segmented into discrete attribute-value combination entries, each with associated tuning parameters. This segmentation allows the system to process and match attributes in a structured, modular way, making the automation manageable despite the increased functionality. Each definition entry is an independent unit that can be individually matched and applied.
Data Source
AI summary
Systems and methods for simply and efficiently configuring transceiver modules are disclosed. These systems and methods may allow the configuration of transceiver modules using values for tuning parameters that are different from standard values for those tuning parameters based on attributes of either a transceiver module or a network device with which that transceiver module is being utilized.


