Various embodiments of the present disclosure provide a method, a device, and a storage medium for performance prediction of a communication waveform in a communication system. The method includes measuring, by a receiver, an actual SNR distribution of a communication link between a transmitter and the receiver; further includes evaluating, by a waveform performance prediction device, a normalized minimum SNR shift required for the communication waveform to operate, where the normalized minimum SNR shift is obtained based on a normalized SNR distribution using a neural network (NN), the normalized SNR distribution corresponding to the actual SNR distribution; and further includes, according to the normalized minimum SNR shift, obtaining, by a waveform performance prediction device, an actual minimum SNR shift for the actual SNR distribution, where according to the actual minimum SNR shift, the communication system is adjusted for operation.

Aspects of the disclosure relate to a method of wireless communication at a user equipment (UE), including determining that future or past simultaneous first and second signal transmissions by first and second transceivers pursuant to a dual subscription dual active (DSDA) mode of operation may exceed or has exceeded a maximum allowed transmit power, respectively; and performing at least one operation to reduce an occurrence, likelihood or frequency of the future simultaneous first and second signal transmissions exceeding the maximum allowed transmit power in the DSDA mode of operation, respectively.

A device including one or more processors configured to: determine a disconnection margin value based on: a current transmission operation state including one or more transmission control parameters, and a current transmission rate; receive a power back-off (PBO) request including a PBO value; perform a comparison of the PBO value to the disconnection margin value; and determine whether to apply a PBO according to the PBO request based on the comparison.

A decoding complexity may be used to predict power consumption for receiving, decoding, and/or displaying multimedia content at a wireless transmit/receive unit (WTRU). The decoding complexity may be based on decoding complexity feedback received from a reference device, such as another WTRU. The decoding complexity feedback may be based on measurements performed at the reference device for receiving decoding, and/or displaying the multimedia content. A content providing device may indicate the decoding complexity of requested media content to a WTRU, or another network entity. The decoding complexity may be indicated in a streaming protocol or file associated with the media content. The WTRU, or other network entity, may use the decoding complexity determine its preferences regarding transmission of the media content. The content providing device may determine whether to transmit the media content based on the decoding complexity and/or the preferences of the WTRU or other network entity.

A system that incorporates aspects of the subject disclosure may perform operations including, for example, receiving, via an antenna, a signal generated by a communication device, detecting passive intermodulation interference in the signal, the interference generated by one or more transmitters unassociated with the communication device, and the interference determined from signal characteristics associated with a signaling protocol used by the one or more transmitters. Other embodiments are disclosed.

Methods, apparatus and systems for determining a transmission power for an uplink transmission are disclosed. In one embodiment, a method performed by a wireless communication device is disclosed. The method comprises: determining or applying a transmission power for an uplink transmission of the wireless communication device based at least partially on a time threshold associated with the uplink transmission, wherein the time threshold indicates a latest time the transmission power should be determined; and performing the uplink transmission based on the transmission power to a wireless communication node.

Methods and apparatus are proposed for computing a power reduction policy to control radio emissions of a base station over a time window, with the objective to keep the time-averaged radio emissions over the time window below an authorized value set by regulations, with minimum impact on the performance of the overall system. The time window is subdivided into a plurality of time periods starting at a plurality of time steps, and the policy control comprises, at least at a first time step in the time window: generating a predicted average radio emissions over subsequent time periods in the time window, based on radio emissions historical data; finding couples of values of a power reduction factor and an average radio emissions that minimize a cost function for each time step in the time window, based on the predicted average radio emissions.

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.

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.

Certain aspects of the present disclosure provide techniques and apparatus for determining a transmit power based on a pattern and/or future conditions for a transmission while maintaining radio frequency (RF) exposure compliance. An example method generally includes obtaining a pattern associated with one or more first transmissions, determining a transmit power for one or more second transmissions based at least in part on the pattern and an RF exposure limit, and transmitting the one or more second transmissions at the determined transmit power.