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.

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.

A method for wireless power delivery, preferably including: determining transmitter-receiver proximity, assessing transmission parameters, and/or transmitting power based on a transmission plan. A system for wireless power delivery, preferably including a plurality of receivers and one or more transmitters.

Aspects of the subject disclosure may include, for example, receiving a first plurality of operating parameters associated with a first plurality of communication devices, obtaining a first prediction of a performance of a first communication device included in the first plurality of communication devices that is based on an application of the first plurality of operating parameters to a model, and responsive to a determination that the first prediction of the performance is inadequate in accordance with a first threshold, transmitting a first command to at least one communication device included in the first plurality of communication devices to modify at least one operating parameter of the at least one communication device. Other embodiments are disclosed.

Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.

Methods and computer software are disclosed for determining a power budget for physical channels in a system. The method may include, obtaining a mean and variance of a previously computed power component; determining an estimate of a current power component in a current frame based on the mean and variance of the previously computed power component; and computing a power budget in a current frame using the estimate of the current power component.

There is provided mechanisms for determining average total transmission power for an antenna array configured for beamformed transmission within an angular coverage region. A method is performed by a control device. The method comprises determining bin-wise values of beamforming gain for a set of non-overlapping bins collectively covering the angular coverage region of the antenna array. The method comprises obtaining values of total transmission power of the beamformed transmission. The method comprises determining bin-wise values of average transmission power from the bin-wise values of beamforming gain and the values of total transmission power. The method comprises combining the bin-wise values of average transmission power into one value of average total transmission power for the antenna array.

A method for managing a maximum permissible exposure (MPE) limit that corresponds to a time window is provided. The method includes estimating, based on radar detection information and transmission history information, a previous radio frequency exposure (RFE) for a target that occurred during a previous time period of the time window. The method includes predicting a future RFE on the target to occur during a future time period of the time window such that a sum of the estimated previous RFE and the predicted future RFE does not exceed the MPE limit for the time window. The method includes determining, based on the predicted future RFE, a transmission power budget for a transceiver of an electronic device for transmission during the future time period.

Methods and computer software are disclosed for determining a power budget for physical channels in a system. The method may include, obtaining a mean and variance of a previously computed power component; determining an estimate of a current power component in a current frame based on the mean and variance of the previously computed power component; and computing a power budget in a current frame using the estimate of the current power component.

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.