Abstract: Methods, systems, and devices for wireless communications are described. The method includes receiving, from a base station, control signaling identifying a measurement configuration for one or more non-linear estimation measurements of reference signals associated with a power amplifier configuration of the base station, receiving, from the base station, the reference signals on a set of resources identified by the measurement configuration, performing one or more non-linear estimation measurements associated with the power amplifier configuration of the base station based on the received reference signals, and transmitting, to the base station according to the measurement configuration, a measurement report based on the one or more non-linear estimation measurements.

Abstract: Methods, systems, and devices for wireless communications are described. The method includes receiving, from a base station, control signaling identifying a measurement configuration for one or more non-linear estimation measurements of reference signals associated with a power amplifier configuration of the base station, receiving, from the base station, the reference signals on a set of resources identified by the measurement configuration, performing one or more non-linear estimation measurements associated with the power amplifier configuration of the base station based on the received reference signals, and transmitting, to the base station according to the measurement configuration, a measurement report based on the one or more non-linear estimation measurements.

Abstract: Aspects relate to signaling relating to a non-linearity model for power amplifier circuitry of a transmitting device. The power amplifier circuitry may apply digital pre-distortion (DPD) to a signal prior to amplification and transmission of the signal. A receiving device may apply digital post-distortion (DPoD) to a signal received from the transmitting device where the DPoD is based on the non-linearity model. The transmitting device may send to the receiving device non-linearity parameters for the non-linearity model.

Abstract: Aspects relate to signaling relating to a non-linearity model for power amplifier circuitry of a transmitting device. The power amplifier circuitry may apply digital pre-distortion (DPD) to a signal prior to amplification and transmission of the signal. A receiving device may apply digital post-distortion (DPoD) to a signal received from the transmitting device where the DPoD is based on the non-linearity model. The transmitting device may send to the receiving device non-linearity parameters for the non-linearity model.

Abstract: Methods, systems, and devices for wireless communications are described. A base station may transmit, to each user equipment (UE) of a set of UEs, a different respective set of one or more training parameters for a digital pre-distortion procedure. Some or all of the UEs may determine one or more respective training values based on the one or more training parameters, where the training values from the UEs support the base station computing a set of non-linearity coefficients for the digital pre-distortion procedure. The base station thus may receive training parameters from some or all of the UEs and determine the set of non-linearity coefficients based thereon. The base station use the non-linearity coefficients to perform the digital pre-distortion procedure for one or more downlink transmissions, to one or more UEs of the group of UEs used for training, or to one or more other UEs.

Abstract: Certain aspects of the present disclosure provide techniques for over-the-air digital pre-distortion (DPD) kernel function selection. A method that may be performed by a user equipment (UE) includes transmitting capability information to a base station (BS), indicating a capability of the UE for performing digital pre-distortion (DPD) training, receiving, based on the capability information, a request from the BS to perform the DPD training, performing, based on the received request, the DPD training, wherein performing the DPD training includes: receiving one or more reference signals (RSs) and selecting, based on the one or more RSs, an ordered set of kernel functions. Additionally, the method may include transmitting feedback information to the BS indicating the ordered set of kernel functions.

Abstract: Aspects of the technology described herein can provide assisted-communication with an intelligent personal assistant. An exemplary computing device may use a profile handler to receive a user profile of a user and a system profile of an interactive communications system. Moreover, a context handler in the exemplary computing device may receive an indication of a communication event related to the user, such as a call or message, and context information associated with the event. Further, a communication handler in the exemplary computing device may use the context information, the user profile, and/or the system profile to navigate the interactive system for the user. In some instances, where a user is unavailable to address a communication event, the intelligent personal assistant may utilize the communication handler to intercept the communication and negotiate the session on behalf of the user.

Abstract: Aspects of the technology described herein can provide assisted-communication with an intelligent personal assistant. An exemplary computing device may use a profile handler to receive a user profile of a user and a system profile of an interactive communications system. Moreover, a context handler in the exemplary computing device may receive an indication of a communication event related to the user, such as a call or message, and context information associated with the event. Further, a communication handler in the exemplary computing device may use the context information, the user profile, and/or the system profile to navigate the interactive system for the user. In some instances, where a user is unavailable to address a communication event, the intelligent personal assistant may utilize the communication handler to intercept the communication and negotiate the session on behalf of the user.

Abstract: Aspects of the technology described herein can provide assisted-communication with an intelligent personal assistant. An exemplary computing device may use a profile handler to receive a user profile of a user and a system profile of an interactive communications system. Moreover, a context handler in the exemplary computing device may receive an indication of a communication event related to the user, such as a call or message, and context information associated with the event. Further, a communication handler in the exemplary computing device may use the context information, the user profile, and/or the system profile to navigate the interactive system for the user. In some instances, where a user is unavailable to address a communication event, the intelligent personal assistant may utilize the communication handler to intercept the communication and negotiate the session on behalf of the user.

Abstract: A conversation assistance resource system is provided to connected a user to a resource based on a predicted user need. The conversation assistance resource system monitors user signals relative to a user profile associated with the user. The user profile is based on previously received user signals and includes user preferences, interests, etc. A user need is predicted based on a received user signal. A resource is identified based on the predicted user need and the user profile relative to the resource profile. A communication channel is established between the user and the resource responsive to confirmation by the parties such that the user may query the resource to resolve the predicted user need.

Abstract: A conversation assistance resource system is provided to connected a user to a resource based on a predicted user need. The conversation assistance resource system monitors user signals relative to a user profile associated with the user. The user profile is based on previously received user signals and includes user preferences, interests, etc. A user need is predicted based on a received user signal. A resource is identified based on the predicted user need and the user profile relative to the resource profile. A communication channel is established between the user and the resource responsive to confirmation by the parties such that the user may query the resource to resolve the predicted user need.

Abstract: Aspects of the technology described herein can provide assisted-communication with an intelligent personal assistant. An exemplary computing device may use a profile handler to receive a user profile of a user and a system profile of an interactive communications system. Moreover, a context handler in the exemplary computing device may receive an indication of a communication event related to the user, such as a call or message, and context information associated with the event. Further, a communication handler in the exemplary computing device may use the context information, the user profile, and/or the system profile to navigate the interactive system for the user. In some instances, where a user is unavailable to address a communication event, the intelligent personal assistant may utilize the communication handler to intercept the communication and negotiate the session on behalf of the user.