Dynamic CPRI Switch Configuration for Cloud RAN Mobility
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Solution Overview
Problem
In mobility networks, static configuration of CPRI switch devices for cell site devices and BBU pool devices leads to high operation costs and challenges in maintaining seamless mobility and efficient inter-site carrier aggregation due to the dynamic movement of mobile devices, making it difficult to coordinate interference and network load effectively.
Innovation Solution
A system that dynamically configures CPRI switch devices based on real-time load information, interference, and network traffic trends, allowing for adaptive grouping of cell site devices with BBU pool devices, thereby enabling intelligent handover decisions and optimizing network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static configuration of CPRI switch devices is used, then device complexity is reduced, but adaptability to mobile device movement deteriorates
Solution Approach 1:
The patent implements dynamic configuration of CPRI switch devices that automatically adapts to mobile device movement and network conditions. The system continuously monitors mobility patterns and reconfigures switch connections in real-time, transforming the static configuration into a dynamic one that maintains optimal performance without requiring manual intervention.
Solution Approach 2:
The system employs feedback mechanisms where mobility information from mobile devices is continuously collected and used to adjust CPRI switch configurations. This closed-loop control ensures that the network adapts to changing conditions while maintaining automated operation, resolving the contradiction between simplicity and adaptability.
2Loss of energy
If static configuration is used, then operation cost is reduced, but network performance under dynamic conditions deteriorates
Solution Approach 1:
The system implements self-service automation where the network automatically monitors mobility patterns and reconfigures CPRI switches without human intervention. This automated self-management maintains high network performance while keeping operation costs low by eliminating manual configuration efforts and enabling efficient resource utilization.
Solution Approach 2:
By implementing dynamic reconfiguration based on real-time mobility data, the system optimizes network performance automatically. This allows the network to adapt to changing traffic patterns and mobility conditions, maintaining high productivity while avoiding the operational costs associated with manual management.
3Adaptability or versatility
If dynamic configuration is implemented, then adaptability to mobility is improved, but device complexity increases
Solution Approach 1:
The system uses feedback from mobility information to automatically drive configuration decisions. By continuously monitoring mobile device movements and using this data to trigger reconfiguration events, the system achieves high adaptability while keeping the control logic automated and manageable, rather than requiring complex manual configuration procedures.
Solution Approach 2:
The patent introduces an intermediary control mechanism that sits between the mobility information source and the CPRI switch configuration. This intermediary processes mobility data and translates it into appropriate configuration commands, simplifying the overall system architecture while enabling dynamic adaptability.
4Productivity
If dynamic configuration is implemented, then network capacity is improved, but operation cost increases
Solution Approach 1:
The system achieves automated self-management where mobility patterns are continuously monitored and used to dynamically adjust network configuration without human intervention. This automation maintains high network capacity while controlling operation costs by eliminating manual configuration efforts and enabling efficient resource allocation.
Solution Approach 2:
The system performs preliminary actions by pre-configuring CPRI switches based on predicted mobility patterns and historical data. This proactive approach allows the network to maintain optimal capacity in advance of actual mobility events, improving performance while avoiding the operational costs of reactive manual reconfiguration.
Data Source
AI summary
Dynamic grouping of cell site devices to network devices that include a group of baseband processing devices is facilitated. One method includes determining, by a device including a processor, respective load information for cell site devices of respective cell sites associated with a network; and determining, by the device, interference information associated with the cell site devices. The method also includes determining, by the device, configuration information of a switch device communicatively coupled between the cell site devices and network devices that include a group of baseband processing devices. The determining the configuration information is based on the respective load information of the cell site devices and the interference information associated with the cell site devices.