Abstract: In an aspect, a UE obtains information (e.g., UE-specific information) associated with a set of triggering criteria (e.g., from a server, a serving network, e.g., in conjunction with or separate from a set of neural network functions) for a set of neural network functions, the set of neural network functions configured to facilitate positioning measurement feature processing at the UE, the set of neural network functions being generated dynamically based on machine-learning associated with one or more historical measurement procedures. The UE obtains positioning measurement data associated with a location of the UE, and processes the positioning measurement data into a respective set of positioning measurement features based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria.

Abstract: In an aspect, a network component transmits, to a UE, at least one neural network function configured to facilitate processing of positioning measurement data into one or more positioning measurement features at the UE, the at least one neural network function being generated dynamically based on machine-learning associated with one or more historical measurement procedures. The UE may obtain positioning measurement data associated with the UE, and may process the positioning measurement data into a respective set of positioning measurement features based on the at least one neural network function. The UE may report the processed set of positioning measurement features to a network component, such as the BS or LMF.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may determine channel state information for a communication link, wherein the channel state information is based at least in part on a linear combination associated with a plurality of beams of the communication link, wherein a first set of beams used for a first subband, of a plurality of subbands of the communication link, is different than a second set of beams used for a second subband of the plurality of subbands, and wherein the plurality of beams includes the first set of beams and the second set of beams; and transmit the channel state information. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive a signaling communication that includes information specifying whether a channel state information reference signal (CSI-RS) precoding resource block group includes a same quantity of resource blocks (RBs) that is included in a CSI reporting subband configured for the UE. The CSI-RS precoding resource block group may enable the UE to perform a channel estimation based at least in part on a CSI-RS transmitted by a base station. The UE may perform the channel estimation based at least in part on the CSI-RS transmitted by the base station. The channel estimation may be based at least in part on whether the CSI-RS precoding resource block group includes the same quantity of RBs that is included in the CSI reporting subband configured for the UE. Numerous other aspects are provided.

Abstract: Certain aspects of the present disclosure provide techniques for uplink sounding reference signal (SRS) transmission with precoding. A method for wireless communication by a user equipment (UE) includes receiving a SRS configuration that configures one or more SRS resource sets, each resource set including one or more SRS resources, each SRS resource comprising one or more SRS ports. The UE receives a set of precoders via an indicator, the set of precoders including a precoder associated with each SRS resource and determines one or more precoders to apply for one or more SRS transmissions via one or more of the SRS resources.

Abstract: Various aspects are described for an enhanced power headroom report (PHR) for feeding back beamformed sounding reference signal (SRS) power scaling. Beamformed SRS along directions where a user equipment (UE) can best nullify interference/maximize downlink (DL) signal to interference plus noise ratio (SINR) would be very helpful for DL beamforming. SRS beamforming requires additional support, if rank related decisions are being made at eNB. For example, power normalization factors need to be sent or reported on the uplink (UL) to eNB. This disclosure provides examples of how the PHR on the uplink can be used to do such reporting. There are two types of PHR being proposed, one nominal for the UL-oriented SRS, like LTE-style PHR, and one for the DL-oriented SRS where the UE also reports or indicates the power normalization factors of each SRS port.

Abstract: Systems and methods facilitating feedback of robust channel state information (CSI), such as to provide full CSI feedback or otherwise providing CSI feedback, are described. CSI encoders and/or decoders used by network nodes may implement channel compression/reconstruction based upon neural-network (NN) training of collected channels. A structured payload having an interpretable payload portion and an uninterpretable payload portion may utilized with respect to CSI feedback. The channel compression provided according to some aspects of the disclosure supports feedback of robust CSI, in some instances including full CSI, as determined by a particular network node. Other aspects and features are also claimed and described.

Abstract: A method of wireless communication by a user equipment (UE) receives a channel state information (CSI) decoder and CSI encoder from a base station on a physical downlink control channel (PDSCH) or a media access control-control element (MAC-CE). The method also includes training the CSI decoder and CSI encoder based on observed channel and interference conditions to obtain updated decoder coefficients and updated encoder coefficients. The method further includes receiving an indication of resources for transmission of the updated encoder coefficients and updated decoder coefficients. The method includes transmitting the updated decoder coefficients and updated encoder coefficients to the base station in accordance with the indication of resources. Further, the method includes receiving an updated CSI decoder and updated CSI encoder from the base station for further training.

Abstract: Various embodiments include methods performed in receiver circuitry of a wireless communication device for demodulating wireless transmission waveforms to reconstruct data tones, which may include receiving, from a transmitter, wireless transmission waveforms that includes peak reduction tones (PRTs) that were inserted by a PRT neural network in the transmitter, and demodulating the received wireless transmission waveforms using a decoder neural network that has been trained based on outputs of the transmitter to output a reconstruction of the data tones. Further embodiments include exchanging information between the transmitter and receiver circuitry to coordinate the PRT neural network used for inserting PRTs in the transmitting wireless communication device and the decoder neural network used in the receiving wireless communication device for demodulating transmission waveforms received from the transmitting wireless communication device.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform a measurement operation to attain multiple measurements to report to a base station. The measurements may correspond to a first number of bits if reported. The UE may compress the measurements using an encoder neural network (NN) to obtain an encoder output indicating the measurements. This encoder output may include a second number of bits that is less than the first number of bits. The UE may report the encoder output to the base station in this compressed form. At the base station, the encoder output may be decompressed according to a decoder NN. Once the base station decompresses the encoder output, the UE and base station may communicate according to the measurements determined from the decompression. In some cases, the base station may perform load redistribution based on the measurements.

Abstract: Embodiments include methods for managing information transmission between a base station and a wireless device. A base station may apply an encoder neural network to assistance information that may aid a wireless device in communicating with the base station to generate encoded assistance information. The base station may transmit the encoded assistance information to the wireless device via a control or data channel. The wireless device may use the encoded assistance information to update one or more behaviors of the wireless device without decoding the encoded assistance information. The wireless device may include a different neural network configured to learn how to use the encoded assistance information to update one or more behaviors of the wireless device.

Abstract: Certain aspects of the present disclosure provide techniques for generating and decoding orthogonal frequency division (OFDM) waveforms with peak reduction tones (PRTs) designed to reduce PAPR. By generating PRT tones with a machine learning (e.g., neural network) based encoder and mapping some of the PRT tones to subcarriers used for physical channels or signals, PAPR may be reduced while efficiently using system resources.

Abstract: Various embodiments may employ neural networks at transmitting devices to compress transmit (TX) waveform distortion. In various embodiments, compressed TX waveform distortion information may be conveyed to a receiving device. In various embodiments, the signaling of TX waveform distortion information from a transmitting device to a receiving device may enable a receiving device to mitigate waveform distortion in a transmit waveform received from the transmitting device. Various embodiments include systems and methods of wireless communication by transmitting a waveform to a receiving device performed by a processor of a transmitting device. Various embodiments include systems and methods of wireless communication by receiving a waveform from a transmitting device performed by a processor of a receiving device.

Abstract: Aspects of the present disclosure describe receiving, from an access point, an indication of at least one of a beamforming method for beamforming a RS or a normalization method for normalizing power for beamforming the RS. A channel covariance matrix corresponding to interference over a plurality of antenna ports can be generated, as well as a RS beamforming matrix based at least in part on at least one of modifying the channel covariance matrix or on the normalization method. The RS can be generated based on the RS beamforming matrix and the beamforming method. The RS can be transmitted to the access point based on the RS beamforming matrix.

Abstract: Aspects of the present disclosure describe receiving, from an access point, an indication of at least one of a beamforming method for beamforming a RS or a normalization method for normalizing power for beamforming the RS. A channel covariance matrix corresponding to interference over a plurality of antenna ports can be generated, as well as a RS beamforming matrix based at least in part on modifying the channel covariance matrix and on the normalization method. The RS can be generated based on the RS beamforming matrix and the beamforming method. The RS can be transmitted to the access point based on the RS beamforming matrix.

Abstract: Disclosed are techniques for receive beam selection for measuring a reference radio frequency (RF) signal. In an aspect, a first node determines a type of measurement to be performed on the reference RF signal, selects a receive beam based on the type of measurement to be performed on the reference RF signal, generates the selected receive beam, receives, from a second node, using the generated receive beam, the reference RF signal transmitted on a wireless channel, and performs one or more measurements on the received reference RF signal according to the type of the measurement to be performed.

Abstract: Disclosed are techniques for computing and reporting a relevance metric for a positioning beacon beam. In an aspect, a first node receives, from a second node, a plurality of beams, determines a relevance metric for each of one or more beams of interest from the plurality of beams, wherein the relevance metric for each beam of the one or more beams of interest is based on a time of arrival at the first node of the beam and a signal strength of the beam, and sends, to the second node, a report identifying each of the one or more beams of interest and including the relevance metric for each of the one or more beams of interest.

Abstract: Methods, systems, and devices for wireless communications are described. The described techniques provide for the establishment of a communication link between a base station and a user equipment (UE). The UE may have a spatial partial reciprocity capability. The UE may be configured to determine antenna cross-correlation information for at least a first subset of antenna elements in the UE. The cross-correlation information may include one or more correlation parameters (e.g., correlation coefficients), a correlation model, or both. The UE may transmit sounding reference signals for a second set of antenna elements in accordance with the spatial partial reciprocity capability. The UE may also transmit an indication of the cross-correlation information for at least the first subset of antenna elements of the UE. The base station may use such information to derive correlation parameters for the unsounded antennas and determine precoders for downlink communications.

Abstract: Certain aspects of the present disclosure relate to methods and apparatus for transmitting multiplexed sounding reference signal (SRS) ports in communications systems operating according to new radio (NR) technologies. An exemplary method includes obtaining an indication of a technique to use in transmitting sounding reference signals (SRS) via five or more antenna ports in one slot and transmitting the SRS via the five or more antenna ports according to the indicated technique.

Abstract: This disclosure provides methods, devices and systems for channel sounding for wireless communications. Some implementations more specifically relate to scheduling sounding reference signal (SRS) resource sets for wireless devices having more than 4 receive (RX) antenna ports. In some implementations, a base station may determine an antenna switching capability of a user equipment (UE). The antenna switching capability indicates a number of RX antenna ports of the UE. The base station schedules a number of SRS resource sets for the UE based at least in part on the number of RX antenna ports in excess of four. For example, the number of RX antenna ports may be equal to 8. As another example, the number of RX antenna ports may be equal to 6. The base station further receives, from the UE, uplink transmissions of one or more SRS resources for each of the scheduled SRS resource sets.