Open RAN RU-DU Placement Using Affinity and Anti-Affinity Rules
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Solution Overview
Problem
Maintaining effective interconnection between radio units (RUs) and distributed units (DUs) in Open RAN wireless networks is challenging, particularly in cloud-based environments, as they can be prone to outages and require dynamic scaling, which traditional networks do not encounter.
Innovation Solution
Implementing a system that automatically and intelligently assigns RUs to DUs based on geographic and spectrum affinity or anti-affinity rules, using control logic in a data center or cloud environment to optimize pairings and minimize outages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If RUs are assigned to DUs in cloud-based environments, then network scalability and flexibility are improved, but reliability deteriorates due to outages and dynamic scaling challenges
Solution Approach 1:
The system performs preliminary actions by establishing affinity rules and pre-configuring RU-DU pairings before outages occur. The controller continuously monitors connection status and proactively reassigns RUs to alternative DUs based on pre-defined affinity relationships, preventing reliability issues before they manifest.
Solution Approach 2:
The system implements feedback mechanisms where the controller continuously monitors RU-DU connection status, load conditions, and outage events. Based on this feedback, the system dynamically adjusts assignments and updates affinity rules to maintain optimal connections while ensuring reliability during cloud-based operations.
2Ease of operation
If automatic RU-DU assignment is implemented, then ease of operation is improved, but device complexity increases due to control logic requirements
Solution Approach 1:
The system enables self-service operation where the controller automatically manages RU-DU assignments without manual intervention. Affinity rules are automatically applied, and the system autonomously handles reassignment during outages or load changes, significantly improving ease of operation while containing complexity through standardized rule-based logic.
Solution Approach 2:
The system manages complexity by dynamically changing assignment parameters based on predefined affinity rules. Rather than implementing complex adaptive algorithms, the system adjusts discrete assignment parameters according to rule-based conditions, achieving automation while maintaining manageable control logic complexity.
3Reliability
If geographic affinity rules are applied for RU-DU assignment, then network robustness is improved, but manufacturing precision requirements increase for site selection
Solution Approach 1:
The system applies local quality principles by defining geographic affinity zones around specific DU locations. Rather than requiring precise coordinates for all sites, the system creates localized affinity regions where RUs within certain geographic distances are preferentially assigned to nearby DUs, improving robustness while reducing precision requirements.
Solution Approach 2:
The system implements partial geographic affinity rules that apply only to specific RU-DU pairs or geographic zones rather than universally to all connections. This partial application allows the system to improve robustness where needed while avoiding overly precise location requirements across the entire network.
Data Source
AI summary
Systems, devices and automated processes automatically and intelligently assign radio units (RUs) to distributed units (DUs) available within a virtualized pool in an Open RAN network. RUs can be intelligently paired with an available DU using an affinity and/or anti-affinity rule set, if desired. RUs can be assigned to create or to avoid geographic and/or spectrum overlap, thereby minimizing potential outage areas during maintenance periods, reducing interference, improving network coverage and/or any number of other purposes. Automatic assignment of RUs to DUs can be performed by control logic at a data center or elsewhere within the network and may be repeated as needed to support changing conditions and/or as otherwise needed to improve the robustness and flexibility of the Open RAN network.