DISH WIRELESS L.L.C. (20240334469). ADAPTIVE DISTRIBUTED UNIT (DU) SCHEDULER simplified abstract
Contents
ADAPTIVE DISTRIBUTED UNIT (DU) SCHEDULER
Organization Name
Inventor(s)
Sourabh Gupta of Ashburn VA (US)
Gurpreet Sohi of Parker CO (US)
ADAPTIVE DISTRIBUTED UNIT (DU) SCHEDULER - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240334469 titled 'ADAPTIVE DISTRIBUTED UNIT (DU) SCHEDULER
Simplified Explanation: The patent application describes an adaptive DU scheduler that enhances user experiences on higher channel bandwidths in a wireless telecommunication network, such as a 5G network, without dropping high priority traffic like voice over new radio (VoNR).
Key Features and Innovation:
- Central scheduler for maximizing overall throughput based on received parameter values.
- Intelligence layer with AI/ML models to improve performance for all cells.
- AI/ML models for each site type based on traffic distribution.
- Centralized RAN pooling for efficient resource allocation.
- Containerized DU server with master controller pod for managing individual cell pods.
- DU common scheduler for centralized management of all cells.
Potential Applications: The technology can be applied in wireless telecommunication networks, specifically in 5G networks, to optimize throughput and prioritize high priority traffic like VoNR.
Problems Solved: The technology addresses the challenge of managing high channel bandwidths while ensuring no drops for critical traffic, improving overall user experience and network efficiency.
Benefits:
- Enhanced user experiences on higher channel bandwidths.
- Efficient resource allocation and throughput optimization.
- Prioritization of high priority traffic like VoNR.
- Improved network performance and reliability.
Commercial Applications: The technology can be utilized by telecom operators to enhance the performance of their 5G networks, improve user satisfaction, and optimize resource utilization for better network efficiency.
Questions about Adaptive DU Scheduler: 1. How does the adaptive DU scheduler improve user experiences on higher channel bandwidths? 2. What are the key benefits of using AI/ML models in the intelligence layer of the DU scheduler?
Frequently Updated Research: Stay updated on the latest advancements in AI/ML models for wireless network optimization and resource management to further enhance the adaptive DU scheduler technology.
Original Abstract Submitted
embodiments are directed towards an adaptive du scheduler that increases the user experiences on higher channel bandwidths (bws) while ensuring no drops for voice over new radio (vonr) or other high priority traffic. example embodiments include systems and methods for an adaptive distributed unit (du) scheduler in a wireless telecommunication network, such as a wireless 5g network. example embodiments include systems and methods that include: a central scheduler for maximizing overall throughput based on received parameter values; maximizing the overall cell site throughput; an intelligence layer that has an artificial intelligence and/or machine learning (ai/ml) model that increases the performance for all the cells by sending info to central scheduler for each of the cells; an intelligence layer that has an ai/ml models for each site type based on the traffic distribution across each cell; centralized ran pooling; a containerized du server with master a controller pod controlling individual cell pods; and a containerized du server with a du common scheduler managing all the cells.
