Telefonaktiebolaget lm ericsson (publ) (20240340939). MACHINE LEARNING ASSISTED USER PRIORITIZATION METHOD FOR ASYNCHRONOUS RESOURCE ALLOCATION PROBLEMS simplified abstract
Contents
MACHINE LEARNING ASSISTED USER PRIORITIZATION METHOD FOR ASYNCHRONOUS RESOURCE ALLOCATION PROBLEMS
Organization Name
telefonaktiebolaget lm ericsson (publ)
Inventor(s)
Peiliang Chang of Åkersberga (SE)
Akram Bin Sediq of Kanata (CA)
MACHINE LEARNING ASSISTED USER PRIORITIZATION METHOD FOR ASYNCHRONOUS RESOURCE ALLOCATION PROBLEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240340939 titled 'MACHINE LEARNING ASSISTED USER PRIORITIZATION METHOD FOR ASYNCHRONOUS RESOURCE ALLOCATION PROBLEMS
The abstract of this patent application describes a method performed in a network node that involves allocating resources to a user equipment based on estimated data amount and resource utilization rate.
- The method involves obtaining an estimated data amount of a user equipment (UE) and a resource utilization rate.
- A percentile of the estimated data amount is determined based on a data amount distribution table.
- The percentile is compared to the resource utilization rate.
- If the percentile is higher than the resource utilization rate, a resource is allocated to the UE.
Potential Applications: - This technology could be used in telecommunications networks to efficiently allocate resources to user equipment based on data usage patterns. - It could also be applied in cloud computing environments to optimize resource allocation for different users.
Problems Solved: - Efficient resource allocation based on data amount and utilization rates. - Ensuring optimal performance and resource utilization in network nodes.
Benefits: - Improved network efficiency and performance. - Better utilization of resources leading to cost savings. - Enhanced user experience through optimized resource allocation.
Commercial Applications: Title: "Dynamic Resource Allocation Technology for Enhanced Network Efficiency" This technology could be valuable for telecom companies, cloud service providers, and other network operators looking to optimize resource allocation and improve overall network performance.
Questions about Dynamic Resource Allocation Technology: 1. How does this technology improve resource allocation in network nodes? This technology enhances resource allocation by considering both data amount and resource utilization rates to allocate resources effectively.
2. What are the potential benefits of using this method in telecommunications networks? By using this method, telecom networks can achieve better performance, cost savings, and improved user experience.
Original Abstract Submitted
a network node, computer program, computer program product, and a method performed in a network node includes obtaining an estimated data amount of a user equipment, ue, and a resource utilization rate. a percentile r of the estimated data amount is obtained based on a data amount distribution table. the percentile r is compared to the resource utilization rate. responsive to the percentile r being higher than the resource utilization rate, a resource is allocated to the ue.
