18443349. NETWORK ENTITY AND USER EQUIPMENT FOR TRANSMISSION RATE CONTROL simplified abstract (SONY GROUP CORPORATION)
Contents
NETWORK ENTITY AND USER EQUIPMENT FOR TRANSMISSION RATE CONTROL
Organization Name
Inventor(s)
Vivek Sharma of Basingstoke (GB)
Hideji Wakabayashi of Basingstoke (GB)
Yassin Aden Awad of Basingstoke (GB)
NETWORK ENTITY AND USER EQUIPMENT FOR TRANSMISSION RATE CONTROL - A simplified explanation of the abstract
This abstract first appeared for US patent application 18443349 titled 'NETWORK ENTITY AND USER EQUIPMENT FOR TRANSMISSION RATE CONTROL
The abstract of the patent application describes a network entity for a mobile telecommunications system that is equipped with circuitry to control the transmission rate of data transmissions based on a machine learning algorithm's output, which includes predicting congestion in the data transmissions.
- The network entity is designed to perform transmission rate control of data transmissions in a mobile telecommunications system.
- The circuitry is configured to implement the control based on a transmission control protocol.
- The machine learning algorithm used provides a prediction of congestion in the data transmissions.
- The network entity adjusts the transmission rate based on the congestion prediction to optimize data flow.
Potential Applications: - This technology can be applied in mobile networks to improve data transmission efficiency. - It can be used in IoT devices to manage data traffic effectively. - Telecommunication companies can utilize this innovation to enhance network performance.
Problems Solved: - Addressing congestion issues in data transmissions. - Optimizing data flow in mobile telecommunications systems.
Benefits: - Improved data transmission efficiency. - Enhanced network performance. - Better management of data traffic.
Commercial Applications: Title: "Enhancing Data Transmission Efficiency in Mobile Networks" This technology can be commercialized by telecommunications companies to offer improved network services to their customers. It can also be integrated into IoT devices to ensure smooth data flow.
Prior Art: Further research can be conducted in the field of machine learning algorithms for congestion prediction in data transmissions in mobile networks.
Frequently Updated Research: Researchers are continuously exploring new machine learning algorithms and techniques to enhance the prediction accuracy of congestion in data transmissions in mobile networks.
Questions about Mobile Telecommunications System with Transmission Rate Control: 1. How does the machine learning algorithm predict congestion in data transmissions? 2. What are the potential challenges in implementing transmission rate control based on congestion predictions in mobile networks?
Original Abstract Submitted
A network entity for a mobile telecommunications system, including circuitry configured to perform transmission rate control of data transmissions according to a transmission control protocol, wherein the transmission rate control is performed based on an output of a machine learning algorithm including a prediction of a congestion of the data transmissions.
