DISH WIRELESS L.L.C. (20240334423). 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 20240334423 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
- Containerized DU server with master controller pod
- DU common scheduler managing all cells
Potential Applications: This technology can be applied in wireless telecommunication networks to optimize throughput and prioritize high priority traffic, improving overall network performance and user experience.
Problems Solved: The technology addresses the challenge of managing high channel bandwidths while ensuring no drops for critical traffic like VoNR, enhancing the efficiency and reliability of wireless networks.
Benefits:
- Enhanced user experience on higher channel bandwidths
- Improved overall network throughput
- Prioritization of high priority traffic like VoNR
- Efficient management of traffic distribution across cells
Commercial Applications: This technology can be utilized by telecommunications companies to enhance the performance of their wireless networks, leading to improved customer satisfaction and potentially attracting more subscribers.
Prior Art: Readers interested in prior art related to this technology may explore research on adaptive scheduling algorithms in wireless networks and AI/ML models for network optimization.
Frequently Updated Research: Researchers are constantly exploring new AI/ML models and algorithms to further enhance the performance of wireless networks and improve user experiences.
Questions about Adaptive DU Scheduler: 1. How does the adaptive DU scheduler prioritize high priority traffic like VoNR? 2. What are the potential challenges in implementing the centralized RAN pooling feature in wireless networks?
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.
