Microwave Network Planning Rules for Reliable Wireless Hops
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Solution Overview
Problem
Existing microwave network infrastructure design and planning tools are inadequate for efficiently managing complex wireless networks, leading to errors such as selecting already consumed paths, overprovisioning, and oversubscribing network sites, which hampers network capability and reliability.
Innovation Solution
A system comprising a processor and memory that generates a data record for microwave equipment, establishes interaction rules, and builds a wireless connection plan based on these rules to optimize microwave network infrastructure, incorporating features like microwave channels, capacity, and location, while generating a bill of materials and integrating with network topology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual microwave network design tools are used, then device complexity is reduced, but network reliability deteriorates due to planning errors
Solution Approach 1:
The system automatically performs network planning tasks including path selection, capacity allocation, and equipment provisioning without requiring manual intervention. The automated planning engine processes input data to generate optimized network designs, eliminating human errors while managing complexity through systematic algorithms
Solution Approach 2:
The system incorporates validation rules that provide feedback on planning decisions, identifying conflicts such as path over-subscription or capacity violations. This feedback mechanism ensures reliable network designs by detecting and preventing planning errors before implementation
2Adaptability or versatility
If comprehensive microwave equipment properties are tracked, then network capability is improved, but measurement precision requirements increase
Solution Approach 1:
The system divides microwave equipment properties into standardized categories such as location, capacity, channel configuration, and operational status. Each property type is tracked through dedicated data structures and validation rules, making comprehensive tracking manageable through systematic organization rather than monolithic data management
Solution Approach 2:
The system dynamically tracks changes in equipment properties throughout the network lifecycle, from initial provisioning to operational modifications. By monitoring parameter changes over time, the system maintains accurate network state information without requiring precision in all historical measurements
3Productivity
If automated planning is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system introduces a standardized data structure and validation framework as an intermediary layer between network design requirements and equipment provisioning. This intermediary abstracts the complexity of automated planning into manageable components, improving productivity while containing system complexity through structured interfaces
Solution Approach 2:
The automated planning engine performs multiple functions including path analysis, capacity calculation, conflict detection, and equipment selection within a single integrated system. By consolidating these functions into one universal tool, the system improves productivity without proportionally increasing complexity
4Reliability
If existing path selection is used, then ease of operation is maintained, but network reliability deteriorates due to path conflicts
Solution Approach 1:
The system automatically validates path selections against existing network constraints and provides feedback on potential conflicts. Validation rules check for path overlaps, capacity violations, and equipment availability, ensuring reliable designs while maintaining ease of use through automated conflict detection
Solution Approach 2:
The system performs preliminary analysis of network constraints, existing paths, and capacity requirements before final path selection. By pre-processing this information and identifying potential conflicts in advance, the system ensures reliable network designs without requiring complex manual analysis during the design process
Data Source
AI summary
Techniques for developing and/or building microwave system infrastructure are enabled. For example, a method can comprise: based on the properties of the respective ones of the group of microwave devices as populated in the representation, defining, a system comprising a processor, rules that define permissible interactions between respective ones of a group of microwave devices associated with a development of a microwave network infrastructure, based on a representation and rules, planning, by the system, respective wireless hops between the respective ones of the group of microwave devices, and assigning, by the system, respective wireless paths to respective ones of the respective wireless hops further based on the rules.