US Patent Application 18335781. METHOD EXECUTED BY BASE STATION OR NETWORK NODE, AND RELEVANT DEVICES simplified abstract
Contents
METHOD EXECUTED BY BASE STATION OR NETWORK NODE, AND RELEVANT DEVICES
Organization Name
Inventor(s)
METHOD EXECUTED BY BASE STATION OR NETWORK NODE, AND RELEVANT DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18335781 titled 'METHOD EXECUTED BY BASE STATION OR NETWORK NODE, AND RELEVANT DEVICES
Simplified Explanation
- The patent application describes a method for improving user throughput in a wireless communication network. - The method involves acquiring channel related information of a target user equipment (UE) and using artificial intelligence (AI) to determine a modulation and coding scheme (MCS) based on the acquired information. - The determined MCS is then transmitted to the target UE, which can be an edge UE with a higher number of MCS change values compared to a center UE. - The steps of the method can be implemented using a trained AI method, which allows for accurate determination of the MCS based on the acquired MCS related information. - By accurately reflecting the channel state of the target UE, the determined MCS improves user throughput in the network.
Original Abstract Submitted
An example embodiment may provide a method to be performed by a base station and/or a network node, and relevant devices. The method may include: acquiring channel related information of a target user equipment (UE); acquiring a modulation and coding scheme (MCS) determined based on MCS related information, the MCS related information being acquired by an artificial intelligence (AI) network based on the channel related information; and, transmitting the determined MCS to the target UE, the target UE comprising an edge UE, the number of MCS change value of the edge UE being greater than the number of MCS change value of a center UE. The steps in this scheme can be implemented by a trained artificial intelligence method. The corresponding MCS related information may be acquired by an AI network based on the channel related information of the target UE, and the MCS of the target UE may then be determined by using the acquired MCS related information. Since the MCS related information acquired by the AI network can accurately reflect the channel state of the target UE, the determined MCS is more accurate, and the user throughput is thus improved.
