Artificial intelligence for optimizing 5G/6G wireless network performance
OwnerDavid E. Newman, R. Kemp Massengillinventors
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OwnerDavid E. Newman, R. Kemp Massengillinventors
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5G and 6G wireless networks can use artificial intelligence models to optimize performance by measuring the rate of message faults, and in particular the rate of various types of faults. For example, the amplitude faults include a modulation amplitude distorted by a small or large amplitude change, and whether the faults cluster in the high or low amplitude modulation portions of a constellation chart, among many other inputs related to network operations. The artificial intelligence model can be configured to predict the subsequent network performance according to each modulation scheme available to the network, thereby enabling the network to select a more effective modulation scheme. Alternatively, the artificial intelligence model can select the preferred modulation scheme and recommend the change to the network operators, or it can implement the change automatically if enabled to do so.
A method for a base station of a wireless network, the method comprising:
A method for a user device of a wireless network, the method comprising:
A method for a core network of a wireless network to improve network performance, the method comprising:
Dependencies are inferred from the claim text.