Distributed Unit Scheduling of Custom Traffic via Unscheduled PRBs
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Solution Overview
Problem
Modern wireless communications face challenges in optimizing radio size, weight, thermal dissipation, reliability, complexity, and cost due to engineering and system design tradeoffs, which impact customer capital expenditures and operating expenditures.
Innovation Solution
A distributed unit schedules the injection of custom traffic by a radio unit into the communications path, allowing for real-time performance measurement, troubleshooting, and optimization of radio unit operations through custom signal data injection using unscheduled physical resource blocks, leveraging timing and synchronization data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If radio unit size and complexity are reduced to lower capital expenditures, then deployment cost decreases, but performance measurement and troubleshooting capabilities are limited
Solution Approach 1:
A distributed unit acts as an intermediary between the radio unit and the network core, enabling advanced performance measurement and troubleshooting capabilities while keeping the radio unit itself simple. The distributed unit injects custom traffic and collects detailed measurements without requiring complex functionality within the radio unit hardware.
Solution Approach 2:
The system enables self-service performance optimization by automatically collecting detailed measurement data from the radio unit and using machine learning models to generate optimization recommendations, reducing the need for manual intervention while maintaining measurement precision.
2Reliability
If more resources are allocated for performance monitoring and optimization, then system reliability improves, but operating expenditures increase
Solution Approach 1:
The system applies partial monitoring by focusing measurements on critical performance parameters and time periods when optimization is most beneficial, rather than continuous full-system monitoring. This reduces operating expenditures while maintaining adequate reliability through targeted measurement and optimization actions.
Data Source
AI summary
The described technology is generally directed towards scheduling, by a distributed unit, the injection of custom traffic (signals/data) by a radio unit into a radio unit communications path. The scheduling can be such that the custom traffic can be interleaved with to live-air and/or non-live-air traffic, for example. The radio unit can request unscheduled physical resource blocks for custom traffic to be inserted by the radio unit, and the distributed unit can communicate the timing and scheduling (identify the unscheduled physical resource blocks) to the radio unit in response to the request. The custom traffic is configured to perform some action by the radio unit, such as to perform antenna calibration, to perform test and measurement operations to obtain performance data, and the like. Performance data can be used, for example, to modify operating parameters of the radio unit to improve performance of the radio unit.


