18066127. ALLOCATING RADIO RESOURCES USING ARTIFICIAL INTELLIGENCE simplified abstract (NVIDIA Corporation)
Contents
ALLOCATING RADIO RESOURCES USING ARTIFICIAL INTELLIGENCE
Organization Name
Inventor(s)
Yan Huang of Santa Clara CA (US)
James Delfeld of Austin TX (US)
Xingqin Lin of San Jose CA (US)
Christian Ibars Casas of San Jose CA (US)
ALLOCATING RADIO RESOURCES USING ARTIFICIAL INTELLIGENCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18066127 titled 'ALLOCATING RADIO RESOURCES USING ARTIFICIAL INTELLIGENCE
Simplified Explanation: The patent application describes apparatuses, systems, and techniques to allocate compute resources to a user device, specifically focusing on fifth-generation (5G) radio access network (RAN) cells based on interference between them.
Key Features and Innovation:
- Allocation of compute resources to two or more 5G RAN cells based on interference.
- Optimization of resource allocation to improve network performance.
- Enhanced user experience by managing interference between RAN cells effectively.
Potential Applications: This technology can be applied in telecommunications, mobile networks, and IoT devices to optimize resource allocation and improve network efficiency.
Problems Solved:
- Addressing interference issues between 5G RAN cells.
- Enhancing network performance and user experience.
- Efficiently allocating compute resources to different network cells.
Benefits:
- Improved network reliability and performance.
- Enhanced user experience with reduced interference.
- Optimal utilization of compute resources for better network efficiency.
Commercial Applications: The technology can be utilized by telecom companies, network operators, and IoT service providers to enhance their network performance, reduce interference, and improve user satisfaction, leading to a competitive edge in the market.
Questions about 5G Resource Allocation: 1. How does this technology improve the efficiency of resource allocation in 5G networks? 2. What are the potential implications of optimizing resource allocation based on interference between 5G RAN cells?
Frequently Updated Research: Ongoing research in this field focuses on dynamic resource allocation algorithms, machine learning techniques for interference management, and real-time network optimization strategies to further enhance 5G network performance.
Original Abstract Submitted
Apparatuses, systems, and techniques to allocate one or more compute resources to a user device. In at least one embodiment, one or more circuits cause one or more compute resources to be allocated to two or more fifth-generation (5G) radio access network (RAN) cells based, at least in part, on interference between the two or more 5G RAN cells.
