Methods and systems for operation in a WLAN are provided. Methods and systems for a transmit power control (TPC) scheme are disclosed. In an embodiment, an access point (AP) may send a trigger frame to one or more stations (STAs) for synchronizing and scheduling uplink (UL) multi-user (MU) transmissions. The trigger frame may contain an open-loop power control index 1 and a power adjustment index 2. The one or more STAs may estimate pathloss using an indicated AP transmit power and received power to set a baseline transmit power. The one or more STAs may adjust their transmit power in the UL transmission period to be the indicated target receive power at the AP.

Automatic adjustment of the transmission power, of 5G and 6G wireless messages, is necessary for efficient energy utilization and minimizing background generation, especially in high-density communication environments. However, the power level needed for adequate reception is a complex compromise among competing factors related to network performance, message features, and constantly changing noise/interference backgrounds. Disclosed are artificial intelligence systems and methods configured to determine an appropriate power level for communications. The AI model is trained to account for a wide range of conditions in real-time. For field use, an algorithm derived from the AI model, may be simplified and reduced in size to be appropriate for mobile user devices. The base station may prepare a map of signal attenuation factors, noting especially the “dead zones” of poor reception, and increase the transmission power whenever a mobile user device enters such a location. Many other aspects are disclosed.

In a wireless communication relay, a network transceiver wirelessly detects wireless access points. The network transceiver beamforms wireless test signals and wirelessly transmits the beamformed wireless test signals to the wireless access points. A user transceiver in the relay wirelessly detects cross-relay interference levels when the network transceiver wirelessly transmits the beamformed wireless test signals to the wireless access points. The user transceiver transfers the cross-relay interference levels for the wireless access points to the network transceiver. The network transceiver selects one of the wireless access points based on the cross-relay interference levels for the wireless access points. The network transceiver wirelessly exchanges user data with the selected one of the wireless access points and exchanges the user data with the user transceiver. The user transceiver exchanges the user data with the network transceiver and wirelessly exchanges the user data with the wireless user devices.

Facilitating real-time power optimization in advanced networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a method can include determining, by a system comprising a memory and a processor, a power distribution setting for a user equipment that includes multiple radios based on a historical radio power usage, a historical performance result, a current location, and an application currently executing on the user equipment. The method also can include implementing, by the system, the power distribution setting across the multiple radios of the user equipment. The first radio of the multiple radios can be a first radio type and a second radio of the multiple radios can be a second radio type, different from the first radio type.

A communication network includes an access point, a control unit in communication with the access point, a wave shaping device in communication with the control unit, and a wireless communication device. The control unit determines parameters of the wave shaping device, the parameters being search parameters if the control unit does not receive a pilot signal, and optimization parameters if the control unit receives a pilot signal.

Systems and methods for controlling uplink power in a non-terrestrial network (NTN). An NTN station transmits a reference signal at a first time having a defined transmission power and the reference signal is received by non-terrestrial user equipment. The user equipment evaluates the reference signal and determines a first downlink loss of the reference signal by calculating a difference between a measured power level of the received reference signal and the defined transmission power. The NTN station transmits a communication signal at a second time and is received by the user equipment, which estimates a second downlink loss of the communication signal based on the first downlink loss and a power level of the communication signal. A first uplink loss is estimated based on the second downlink loss, and the user equipment adjusts a transmission power of its transmitter based on the first uplink loss.

Automatic adjustment of the transmission power, of 5G and 6G wireless messages, is necessary for efficient energy utilization and minimizing background generation, especially in high-density communication environments. However, the power level needed for adequate reception is a complex compromise among competing factors related to network performance, message features, and constantly changing noise/interference backgrounds. Disclosed are artificial intelligence systems and methods configured to determine an appropriate power level for communications. The AI model is trained to account for a wide range of conditions in real-time. For field use, an algorithm derived from the AI model, may be simplified and reduced in size to be appropriate for mobile user devices. The base station may prepare a map of signal attenuation factors, noting especially the “dead zones” of poor reception, and increase the transmission power whenever a mobile user device enters such a location. Many other aspects are disclosed.

A base station of a 5G/6G network can include its location coordinates in the SSB system information message which is broadcast on a standard frequency periodically. A mobile user device can receive the SSB and thereby determine the base station location. Thereafter, the user device can measure its own location, speed, and direction of travel, and thereby calculate a Doppler frequency correction before transmitting a message to the base station, thus causing the base station to receive the message at the expected standard frequency. In addition, the user device can calculate, based on the location of the base station relative to the direction of travel of the mobile user device, a particular frequency at which downlink messages from the base station will be received. In addition, the user device can pre-emptively adjust its transmission frequency when changing speed or direction, thereby avoiding wasteful frequency-correction messages from the base station.

A system described herein may provide a technique for determining a maximum and/or target output power on a per-beam and/or per-direction basis for a base station of a radio access network (“RAN”) that implements multiple beams for which output power is dynamically adjustable. The maximum and/or target output power for a given beam (or set of beams) for a given time period may be determined based on historical output power information associated with the beam over one or more previous time periods. The maximum and/or target output power may be based on a predicted received signal power within a coverage area of the base station, based on varying levels of output power.

Wireless communications for optimizing transmission power levels are described. Uplink transmission power levels for a wireless device may be dynamically adjusted based on conditions in a source cell and one or more neighboring cells. Transmission power levels may be increased or decreased gradually, and optimized power levels may be achieved, based on conditions in a source cell and one or more neighboring cells.