AI-Based Power Allocation for Efficient 5G/6G Communications

摘要

Base stations and user devices can transmit 5G and 6G messages with a wide range of transmission power levels. Selecting the appropriate power level for each message is a complex problem, dependent on the distance to the recipient, the background noise and interference level, priority, and many other conflicting factors. To provide an objective recommendation of the transmitter power level, an artificial intelligence model may be trained, using actual network and message parameters, to accurately predict the subsequent network performance versus power level. Then, a practical algorithm may be derived from the trained AI model, and used by base stations and user devices to select an appropriate transmission power level according to current network conditions and message properties. Use of an appropriate transmission power level for each message may reduce message faults, enhance reliability, mitigate external noise and interference, and save energy especially for battery-operated user devices.