Automated F1 Interface Linking for Distributed Units
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Solution Overview
Problem
The manual configuration of central units with distributed units in wireless communications networks is costly and inefficient, especially in large-scale wireless provider networks, due to complex considerations such as transport network characteristics and relationships between units.
Innovation Solution
A central server and distributed unit system that uses a processor to receive and send physical locations, generate lists of measurement servers, and establish F1 connections based on performance parameters, automating the connection process between distributed and central units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration is used to establish F1 interface, then connection reliability is ensured, but configuration cost and time increase significantly
Solution Approach 1:
The distributed unit autonomously performs F1 interface configuration by receiving its physical location, querying available central units, selecting an appropriate central unit based on predefined criteria, and establishing the connection without manual technician intervention. This self-service approach eliminates manual configuration while maintaining reliable connections through automated selection based on network conditions.
Solution Approach 2:
The system pre-establishes a database of available central units with their locations and characteristics before the distributed unit needs connection. The distributed unit queries this pre-prepared information and makes selection decisions based on stored criteria, eliminating the need for manual configuration while ensuring reliable connection establishment.
2Manufacturing precision
If manual configuration is used to establish F1 interface, then connection accuracy is ensured, but operational efficiency decreases
Solution Approach 1:
The distributed unit autonomously selects and configures F1 interface connections by querying physical locations of central units and making informed selection decisions based on stored criteria such as latency and network conditions. This automated self-service process achieves connection accuracy comparable to manual configuration while dramatically improving operational efficiency.
Solution Approach 2:
The system incorporates feedback mechanisms where the distributed unit queries available central units based on current network conditions and selects the most appropriate connection. This feedback-driven automated selection process maintains connection accuracy while eliminating manual configuration operations.
3Productivity
If automated selection is implemented, then configuration efficiency improves, but system complexity increases
Solution Approach 1:
A centralized database serves multiple functions: storing physical locations of central units, maintaining network condition information, and providing query services to distributed units. This universal data structure simplifies the overall system architecture by consolidating what would otherwise be multiple separate components needed for automated selection.
Solution Approach 2:
The system introduces an intermediary query mechanism that mediates between distributed units and the centralized database of central units. This intermediary layer simplifies the interaction, allowing distributed units to efficiently query and select central units without direct complex interactions, thereby reducing overall system complexity while maintaining high configuration efficiency.
Data Source
AI summary
Provided is a central server, including a memory storing computer-readable instructions; and at least one processor coupled to the memory, the at least one processor configured to execute the computer-readable instructions to receive a physical location of a distributed unit; generate a list of one or more measurement servers based on the physical location; and send the list of one or more measurement servers to the distributed unit.