O-RAN RF Channel Control for Throughput-Energy Tradeoff
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Solution Overview
Problem
The O-RAN system, with its multi-vendor equipment structure, faces challenges in applying existing energy-saving functions due to unique structures and algorithms from different manufacturers, making it difficult to dynamically select optimal RF channel control methods suitable for the situation.
Innovation Solution
An RF channel control device and method that collects information about cell conditions, calculates expected performance degradation and energy consumption reduction values, and determines optimal RF channel control methods based on predefined conditions, allowing dynamic and optimal control of RF channels in a multi-vendor base station equipment-based O-RAN system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-vendor equipment is used in O-RAN system, then system versatility and adaptability are improved, but difficulty in applying existing energy saving functions increases
Solution Approach 1:
The patent introduces an intermediary control mechanism that standardizes energy saving function application across multi-vendor equipment. This intermediary layer abstracts the complexity of different vendor-specific implementations and provides a unified approach to RF channel control, enabling energy saving functions to work consistently across diverse O-RAN components without requiring vendor-specific knowledge.
Solution Approach 2:
The patent dynamically adjusts RF channel control parameters based on real-time cell conditions and traffic patterns. By changing parameters such as reference signal transmission timing and power levels adaptively, the system achieves energy saving while maintaining performance across different vendor equipment, resolving the contradiction between versatility and implementation complexity.
2Use of energy by stationary object
If RF channel control methods are dynamically selected, then energy consumption is reduced, but control complexity increases
Solution Approach 1:
The control mechanism autonomously selects optimal RF channel control methods by automatically analyzing cell conditions, traffic patterns, and performance metrics. The system performs self-evaluation and self-adjustment without external intervention, reducing energy consumption through dynamic method selection while keeping the control logic encapsulated within the system itself.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors cell performance, user experience metrics, and energy consumption. Based on this feedback, the control mechanism dynamically adjusts RF channel control parameters and selects appropriate control methods, achieving energy saving while managing control complexity through data-driven decision making.
3Use of energy by stationary object
If existing energy saving functions are applied to O-RAN system, then energy consumption is reduced, but compatibility with multi-vendor equipment deteriorates
Solution Approach 1:
The patent designs energy saving functions with universal applicability across different vendor equipment by standardizing the control interface and parameter definitions. The RF channel control mechanism can be applied consistently across O-RAN components from various manufacturers, achieving both energy saving and multi-vendor compatibility through a unified, vendor-agnostic implementation approach.
Data Source
AI summary
The present disclosure proposes a new technical method for realizing a specific configuration for dynamically/optimally controlling an RF channel in consideration of both throughput of a cell and energy saving in an O-RAN system and realizing an interface operation between O-RAN equipment related thereto, enabling dynamic/optimal control of the RF channel of the cell according to the situation.