Dynamic RAN Channel Configuration for UE-Specific OFDM Slots
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing radio access networks (RANs) lack the ability to dynamically adjust radio channel configurations based on the attributes of User Equipment (UEs) and traffic, leading to suboptimal user experiences in terms of coverage, reliability, and throughput.
Innovation Solution
A Radio Access Network Configuration System (RCS) that utilizes AI/ML models to analyze UE attributes and traffic patterns, determining optimal OFDM slot formats and other RAN configurations to tailor wireless service for individual UEs, enhancing user experience by optimizing coverage and throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radio access networks use fixed radio channel configurations, then network operation is simple and stable, but user experience in terms of coverage, reliability, and throughput is suboptimal
Solution Approach 1:
The patent implements dynamic radio channel configuration where the RAN controller continuously monitors UE attributes (mobility, channel conditions) and traffic characteristics, then adjusts OFDM slot formats and resource allocations in real-time. This transforms the static configuration system into a dynamic one that adapts to changing conditions, improving coverage and throughput while managing complexity through automated AI/ML-based decision making
Solution Approach 2:
The system changes key radio channel parameters including OFDM slot formats, subcarrier spacing, cyclic prefix lengths, and resource block allocations based on monitored UE and traffic attributes. These parameter adjustments are made dynamically to optimize performance for different service types (eBMB, URLLC, mMTC) and channel conditions, resolving the contradiction between fixed simplicity and adaptive performance
2Productivity
If radio channel configurations are customized for individual UEs, then coverage and throughput are optimized, but system complexity increases
Solution Approach 1:
The RAN controller implements self-service capabilities by autonomously monitoring UE attributes and traffic patterns, making configuration decisions using AI/ML models, and adjusting radio channel parameters without manual intervention. This automation handles the complexity of individualized configuration management while delivering optimized throughput and coverage for each UE based on its specific needs
Solution Approach 2:
The system establishes continuous feedback loops where the RAN controller monitors UE performance metrics, channel conditions, and traffic characteristics, then uses this feedback to dynamically adjust radio channel configurations. This closed-loop control enables customized configurations for individual UEs while managing complexity through automated feedback-driven adaptation rather than manual configuration
Data Source
AI summary
A system described herein may receive a set of attributes associated with a particular User Equipment (“UE”), such as a location of the UE, Quality of Service (“QoS”) parameters, or UE power class. The system may identify a set of radio access network (“RAN”) configuration parameters based on the received set of attributes associated with the particular UE, wherein the RAN configuration parameters include radio frequency (“RF”) channel configuration parameters such as an orthogonal frequency-division multiplexing (“OFDM”) slot format. The system may provide the identified set of RAN configuration parameters to the RAN, and the RAN may utilize the RF channel configuration parameters included in the identified set of RAN configuration parameters to configure one or more channels between the RAN and the particular UE.