A method in a wireless power transfer system can include, in response to a digital ping initiated by a wireless power transmitter, transmitting to the wireless power transmitter during a ping phase, a response signal. The method can further include transmitting, to the wireless power transmitter during a configuration phase, a configuration packet including first control information related to whether a wireless power receiver supports an authentication function to authenticate the wireless power transmitter; receiving, from the wireless power transmitter during a negotiation phase, a capability packet including second control information and a potential power value of the wireless power transmitter; and transmitting, to the wireless power transmitter during a power transfer phase, an authentication request message.

A system can include an evaluation platform that applies models to improve the quality of experience of users impacted by uplink interference at a network cell, such as at a base station. For a user session at a cell, an expected performance with optimized uplink interference can be compared to an actual performance to determine whether the session is impacted. This can include iteratively increasing a hypothetical power parameter and determining uplink interference based on source and neighboring cells. When positively impacted sessions exceed a threshold, the platform can dynamically change the power parameter of the base station to reflect the hypothetical value.

A system described herein may provide for the use of artificial intelligence/machine learning (“AI/ML”) techniques to generate models for various locations or regions (e.g., sectors) associated with one or more radio access networks (“RANs”) of a wireless network. The system may further use AI/ML techniques to generate interference models to reflect types and/or amounts of channel propagation metrics measured within the RAN. The system may further determine, based on attributes of a given sector, a sector model and/or a channel propagation model associated with the sector. Based on the sector model and/or the determined channel propagation model, one or more actions may be determined in order to enhance channel propagation metrics within the sector, such as at portions of the sector at which increased demand for wireless service is detected.

Aspects of the disclosure are directed toward intelligently selecting the operating parameters of wireless access points (WAPs) deployed in a wireless environment so as to minimize or at least reduce interference in that wireless environment. A WAP continually measures the characteristics of the wireless channels used in the wireless environment and obtains measurements of channel metrics for those channels. The WAP stores the channel metric measurements as a channel metric history and analyzes the channel metric history to determine correlations between the channel metric measurements and various timeframes. The WAP selects one or more of its operating parameters based on the channel metric history and the correlations identified. Operating parameters include the radio frequency band and channel to transmit on. A centralized control server may also receive, store, and analyze channel metric histories from multiple WAPs and issue instructions to those WAPs identifying values for their respective operating parameters.

In order to maintain conformance with exposure limits, in band measurements may be performed. A method, a computer-readable medium, and an apparatus may be provided for wireless communication at a user equipment. The apparatus receives an indication of a cell specific resource, e.g., a cell specific resource available for MPE measurement. The apparatus then performs a measurement based on the cell specific resource and determines whether to adjust a transmission characteristic of the user equipment based on whether the measurement meets a threshold. In another aspect a base station apparatus may configure a cell specific resource in which a user equipment may perform an MPE measurement and control use of the cell specific resource for the MPE measurement.

A power management apparatus, includes an artificial intelligence (Al) controller configured to monitor a user pattern, based on frequency band selection information of all users using a base station, to predict the user pattern, and a DC-DC converter configured to output a supply voltage based on the predicted user pattern.

A method of wireless communication performed at a user equipment (UE) includes receiving, at the UE, a set of downlink (DL) reference signals (RSs) associated with one or more first transmission beams. The method also includes measuring, at the UE, the set of DL-RSs. The method further includes performing, at the UE, an uplink transmission having a transmission power that is set by a pathloss estimation function based on a set of pathloss parameters. One or more of pathloss parameters of the set of pathloss parameters is based on measuring the set of DL-RSs.

To control transmit power in a wireless device, the wireless device sends a data indication signal to the network adaptor. The data indication signal can indicate a transmission status of data to be transmitted and being located in at least one queue of a network stack of a computing device of wireless device. The network adaptor can determine using a time-averaged specific absorption rate (SAR) function, a transmit power for wireless transmission of data in the network adaptor by considering at least the data in the network adaptor and the at least one data indication signal.

Aspects of the subject disclosure may include, for example, obtaining a model of a communication network, applying first data to the model to generate an updated model, processing the updated model to establish a first control, enabling first communications in the communication network in accordance with the first control, obtaining first parametric data regarding the first communications in the communication network that are based on the first control, processing the first parametric data in accordance with the updated model to generate an updated first control, and enabling second communications in the communication network in accordance with the updated first control. Other embodiments are disclosed.

Example implementations relate to predicting power states of access points (APs). A non-transitory computer readable medium may store instructions executable by a processing resource to: in response to a first client device being associated with a first access point (AP) of a group of APs, determine a first degree of performance a second AP of the group is to provide if the first client device is associated with the second AP; and predict, based on the determined degree of performance, a second degree of performance the group of AP is to provide to a second client device if the second client device is associated with the group of APs during a first time interval at a location.