Abstract: Disclosed are techniques for determining tone patterns and associated overlay codes for transmission of reference signals. A tone pattern (e.g., with each tone pattern occupying a resource element in a resource block) can be determined for a reference signal for use in wireless communications between a receiving device and a transmitting device. The tone pattern can include an irregular combination of resource elements in one or more resource blocks for the reference signal. The resource elements can be shared by a plurality of antennas for communication of one or more reference signals between at least the user equipment and the base station. An overlay code may be determined for the tone pattern. Information associated with the transmission of the reference signal using the tone pattern and the overlay code may be communicated by the receiving device.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may determine that a power threshold for the first device is satisfied. The first device may transition from a first type of channel state feedback processing to a second type of channel state feedback processing based at least in part on determining that the power threshold for the first device is satisfied.

Abstract: A method of wireless communication by a user equipment (UE) may include receiving a message requesting estimated channel characteristics of a secondary band based on measuring characteristics of a channel in the primary band. The method also includes measuring characteristics of the channel in the primary band. The method estimates channel characteristics of the secondary band based on the primary band characteristics measurements. The estimating may occur without measuring signals in the secondary band. Further, the method may report the estimated channel characteristics of the secondary band and receive an indication of a secondary cell group, based on the estimated channel characteristics of the secondary band.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may receive a channel state information (CSI) feedback configuration comprising an indication to save, for a specified time period, a channel state feedback (CSF) that corresponds to a first reference signal carried on a downlink channel. The first device may transmit a differential CSF based at least in part on the CSF and a second reference signal carried on the downlink channel. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. A configuration for a reference signal used to determine a non-linear behavior of transmission components at a transmitting device may be determined. The configuration for the reference signal may be determined based on signaling transmitted by the transmitting device, signaling transmitted by a device that receives the reference signal, or both. Additionally, or alternatively, the configuration for the reference signal may be determined based on a configuration of other signals transmitted by the transmitting device prior to or concurrently with the transmission of the reference signal. The determined configuration may be used to generate and transmit the reference signal or to determine a configuration of a received reference signal. In both cases, a non-linear response of transmission components at the transmitting device may be determined based on the reference signal.

Abstract: Disclosed are techniques for wireless positioning. In an aspect, a network entity, such as a location server, may determine first information characterizing a channel associated with a wireless device within a region of interest. The network entity may determine a location of the wireless device within the region of interest based on the first information characterizing the at least one channel associated with the wireless device and a plurality of radio frequency fingerprints (RFFPs), wherein each RFFP of the plurality of RFFPs identifies a geographic location within a region of interest and a channel condition at that geographic location within the region of interest, and wherein each geographic location within the region of interest is represented by a plurality of RFFPs having different channel conditions due to different states of at least one reconfigurable intelligent surface (RIS) within the region of interest.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may receive an indication to use a first number of bits to report neural network based channel state information feedback (CSF). The first device may transmit, using a second number of bits that is different from the first number of bits, a report that indicates the CSF to a second device. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit compressed interference information to a network entity. The UE may measure interference at the UE over a set of interference measurement resources. The UE may determine an interference distribution over the set of resources. The UE may encode the interference distribution using a compressions scheme which may reduce a payload or size of the interference distribution. The compression scheme may include compressing the distribution of the interference. Encoding the interference information may include generating a mean vector and a covariance matrix representative of the distribution of the interference measured over the given set of interference measurement resources. The UE may transmit the encoded interference information, and the network entity may decode the encoded interference information. The network entity may schedule communications with the UE based on the interference information.

Abstract: Techniques for position estimation using uplink (UL) and downlink (DL) signals via a fully or partially reciprocal wireless channel between a User Equipment (UE) and terrestrial transceiver can be enhanced by leveraging information obtained from UL or DL signals having the stronger Signal-to-Noise Ratio (SNR). This information can include the number of paths and/or complex sinusoids, and can be shared with the base station or location server to parameterize the model of the wireless channel. In some embodiments, the UE can further determine a quality metric for the model and send it to the location server or terrestrial transceiver.

Abstract: Methods, systems, and devices for wireless communications are described. A configuration for a reference signal used to determine a non-linear behavior of transmission components at a transmitting device may be determined. The configuration for the reference signal may be determined based on signaling transmitted by the transmitting device, signaling transmitted by a device that receives the reference signal, or both. Additionally, or alternatively, the configuration for the reference signal may be determined based on a configuration of other signals transmitted by the transmitting device prior to or concurrently with the transmission of the reference signal. The determined configuration may be used to generate and transmit the reference signal or to determine a configuration of a received reference signal. In both cases, a non-linear response of transmission components at the transmitting device may be determined based on the reference signal.

Abstract: A method and apparatus for wireless communications are described. The method and apparatus may include transmitting at least one frame that includes a first acquisition interval associated with a first operator and one or more first transmission opportunities having a guarantee interval for the first operator, and a second acquisition interval associated with a second operator different from the first operator and one or more second transmission opportunities having a guarantee interval for the second operator, the first acquisition interval and the one or more first transmission opportunities nonoverlapping with the second acquisition interval and the one or more second transmission opportunities.

Abstract: A method of wireless communication by a user equipment (UE) includes receiving an uplink grant from a network device. The method also includes determining, by a lower analog media access control (MAC-A) layer of an analog data communications stack, a quantity of analog neural network gradients to transmit in a data packet using resources allocated by the uplink grant. The determining is based on an analog physical (PHY-A) layer encoding scheme and the resources allocated by the uplink grant. The method further includes segmenting the analog neural network gradients into the data packet. The method still further includes transferring the data packet to the PHY-A layer for transmission to the network device across a wireless network.

Abstract: A method of wireless communication by a user equipment (UE) includes generating, by an upper analog media access control (MAC-A) layer of a protocol stack, a data packet with a header and a data field. The header indicates a neural network identifier (ID) and a request ID. The data field includes gradient data for a federated learning iteration. The method also includes transferring the data packet to lower layers of the protocol stack for transmission to a network device across a wireless network.

Abstract: Disclosed are techniques for wireless positioning. In an aspect, a first user equipment (UE) obtains one or more first radio frequency fingerprint (RFFP) measurements of one or more first downlink channels received at the first UE, one or more first sidelink channels received at the first UE, or both, and determines one or more locations of a target UE based on the one or more first RFFP measurements and a machine learning module, wherein the machine learning module is trained based on previously collected RFFP measurements of one or more downlink channels, RFFP measurements of one or more uplink channels, RFFP measurements of one or more sidelink channels, locations of one or more sidelink anchor UEs, locations of one or more base stations, or any combination thereof.

Abstract: Disclosed are techniques for positioning. In an aspect, a network entity receives, from at least one network node, a measurement report including one or more radio frequency fingerprint (RFFP) measurements, wherein the one or more RFFP measurements include at least one RFFP measurement of at least one sidelink channel between a first user equipment (UE) and a second UE, determines one or more locations of a target UE based on the one or more RFFP measurements and a machine learning module, wherein the machine learning module is trained based on previously collected RFFP measurements of one or more downlink channels, RFFP measurements of one or more uplink channels, RFFP measurements of one or more sidelink channels, locations of one or more sidelink anchor UEs, locations of one or more base stations, or any combination thereof.

Abstract: A UE may identify, in each round other than an initial round, a first plurality of local model update elements of a present round. The first plurality of local model update elements of the present round may be associated with an updated local machine learning model. The UE may transmit to a base station, in each round other than the initial round, over a multiple access channel via analog signaling, a second plurality of local model update elements of the present round based on a third plurality of local model update elements of the present round. The third plurality of local model update elements of the present round may correspond to a sum of the first plurality of local model update elements of the present round and a local model update error of a previous round immediately before the present round. The analog signaling may be associated with OTA aggregation.

Abstract: A UE may identify a plurality of local model update elements associated with an updated local machine learning model. The updated local machine learning model may have been generated based on a global machine learning model received from a base station and a local dataset. The UE may identify one or more local model update elements of the plurality of local model update elements for update element dropping based on at least one of a channel gain, a PAPR specification, an RF emission specification, or an RF condition. The UE may transmit, to the base station over a multiple access channel via analog signaling, at least some local model update elements of the plurality of local model update elements based on dropping of the identified one or more local model update elements.

Abstract: Disclosed are techniques for determining a position of a user equipment (UE). A differential round-trip-time (RTT) based positioning procedure is proposed to determine the UE position. In this technique, the UE position is determined based on the differences of the RTTs between the UE and a plurality of base stations. The differential RTT based positioning procedure has much looser inter-gNodeB timing synchronization requirements than the OTDOA technique and also has much looser group delay requirements than traditional RTT procedures.

Abstract: Techniques are described for wireless communication. One method includes segmenting a payload into a plurality of code blocks; generating, for each code block, a cyclic redundancy check (CRC); encoding each code block and associated CRC in one or more codewords of a plurality of codewords; and transmitting the codewords. The encoding is based at least in part on a low density parity check code (LDPCC) encoding type. Another method includes receiving a plurality of codewords associated with a payload encoded using a LDPCC encoding type; decoding a set of the codewords associated with the first payload and a CRC; and transmitting one of an acknowledgement (ACK) or a non-acknowledgement (NAK) for the set of the codewords.

Abstract: Methods, systems, and devices for wireless communications are described. Generally, the described techniques provide for communicating capability information (e.g., regarding neural network blocks supported by a user equipment (UE) and a base station). A base station may configure one or more neural network block parameters, and may transmit the neural network block parameters to the UE. The UE may configure or reconfigure a neural network block according to the neural network block parameters, and may process one or more signals, e.g., baseband signals, generated by the UE using the neural network block and the neural network block parameters.