Abstract: A first base station communicates with a UE via the first base station and a second base station. The first base station transmits, via a radio interface to the second base station, a configuration for concurrent communication between the UE and a group of base stations including the first base station and the second base station. The first base station communicates, by processing hardware, data over the radio interface directly with the UE, and via the radio interface and the second base station.

Abstract: A non-terrestrial, wireless communications network (NTN) can assist User Equipments (UEs) in tracking beams generated by NTN base stations for reselection purposes. The NTN determines one or more candidate beams to which the UE can reselect (e.g., while the UE is in an inactive or idle state with respect to controlling radio resources) based on a geographical location of the UE and respective existing and/or predicted non-terrestrial locations of one or more non-terrestrial base stations of the NTN. The NTN transmits an indication of the one or more candidate beams to the UE (and optionally other beam-related information, such as radio access resources and relative priorities), and the UE can reselect a subsequent beam based on the indication received from the NTN. The UE can locally store a mapping of candidate reselection beams to geographical locations for ease and efficiency of future reselections.

Abstract: Techniques and apparatuses are described for enhanced uplink spectrum sharing. A base station communicates, to a user equipment (UE) an air interface resource configuration for a second air interface resource allocated to a second cell that uses a second radio access technology (RAT) and implemented by the base station. The base station receives a first air interface resource configuration for a first air interface resource allocated to a first cell that uses a first RAT, where the first air interface resource configuration differs from the second air interface resource configuration. In aspects, the base station communicates the first air interface resource configuration to the UE. Based on receiving a low-utilization indication for the first air interface resource, the base station directs the UE to utilize the first air interface resource for transmitting uplink communications using the second RAT.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for User Equipment-Coordination Set (UECS) Federated for Deep Neural Networks. A coordinating user equipment (UE) of the UECS communicates, to a second UE in the UECS and using one or more side links, one or more update conditions that indicate when to generate updated machine learning (ML) configuration information for one or more deep neural networks (DNNs) that are configured to perform some or all of a transmitter or a receiver processing functionality to process communications at the second UE. The coordinating UE receives, from the second UE over the one or more side links, one or more reports, each report including the updated ML configuration information determined by the second UE using a training procedure and input data local to the second UE.

Abstract: Techniques and apparatuses are described for multiple-input multiple-output transmissions using adaptive phase-changing devices. In aspects, a base station selects one or more adaptive phase-changing devices, APDs, to use in at least one communication path for multiple-input, multiple-output, MIMO, transmissions. The base station can perform a channel characterization process for the at least one communication path using the at least one APD and at least one UE. Based on results of the channel characterization process, the base station configures the at least one APD by which to implement single user-MIMO communication with a UE or multiple user-MIMO communication with multiple UEs. By so doing, the base station may implement MIMO transmissions using APDs to communicate with the at least one UE using same time and frequency resources, which can improve spectral efficiency of a wireless network.

Abstract: A receiver receives signals from a transmitter in subframes on subcarriers having orthogonal frequencies. A subset of the subframes include reference signals. The receiver generates a first channel estimate for a target subframe based on reference signals in the target subframe. The receiver also generates one or more second channel estimates for one or more other subframes based on one or reference signals in the other subframes. The receiver combines the first channel estimate and the one or more second channel estimates based on a frequency offset between the receiver and the transmitter to form a channel estimate of the target subframe. In some cases, the receiver performs joint estimates of a timing offset, a frequency offset, and a channel for the target subframe based on the reference signals, selected candidate timing offsets, selected candidate frequency offsets, and selected candidate channel estimates.

Abstract: A UE receives satellite ephemeris information from a server and calculates one or more satellite parameters for at least one satellite based on the satellite ephemeris information. The UE controls, based on the one or more satellite parameters, operation of a software application that utilizes a data service provided via the at least one satellite. Calculating satellite parameters can include calculating one or more satellite parameters at an API of the UE, and controlling operation of a software application can include receiving, at the API, a request for satellite ephemeris information from the software application, providing, by the API, a representation of the one or more satellite parameters to the software application in response to the request, and adjusting, at the software application, an operation of the software application based on the received representation of the one or more satellite parameters.

Abstract: A method includes receiving an information block (128) as an input to a transmitter neural network (120), receiving, as an input to the transmitter neural network, sensor data (130) from one or more sensors, processing the information block and sensor data at the transmitter neural network to generate an output (132), and controlling an RF transceiver (118) based on the output to generate an RF signal (134) for wireless transmission. Another method includes receiving a first output (136) from an RF transceiver (124) as a first input to a receiver neural network (126), receiving, as a second input to the receiver neural network, a set of sensor data (138) from one or more sensors, processing the first input and the second input at the receiver neural network to generate an output, and processing the output to generate an information block (140) representative of information communicated by a data sending device.

Abstract: A user equipment (UE) employing different radio access technologies (RATs) concurrently or successively provides the UE the opportunity to select a particular RAT to support an access service used by one or more software applications of the UE. A RAT operational control scheme provides for opportunistic enablement and disablement of a RAT and/or intra-RAT configuration so as to provide sufficient uplink and downlink throughput for supported software applications while reducing unnecessary power consumption by the UE, which often is battery powered.

Abstract: Techniques and apparatuses are described for radio access technology identifiers. In aspects, a base station receives air interface resource prospective usage information associated with communications over a first wireless link of at least two wireless links that use different Radio Access Technologies (RATs). The base station then allocates the sharable air interface resource between the at least two wireless links by analyzing the air interface resource prospective usage information. In aspects, the base station transmits a RAT-identifier-presence indicator that communicates a presence of a RAT identifier by indicating one or more downlink air interface resources used to transmit the RAT identifier, where the RAT identifier indicates the allocation of the sharable air interface resource between the at least two wireless links. The base station then transmits the RAT identifier using the one or more downlink air interface resources indicated by the RAT-identifier-presence indicator.

Abstract: Techniques for improving, for a set of conditions at a UE, the usage of energy stored at a UE include determining a preferred or requested partitioning of the UE's stored energy usage during wireless data transfer between the UE and the base station (e.g., an amount or percentage of stored energy utilized by the UE for baseband signal processing with respect to the amount or percentage of energy utilized by the UE for radio interface signal processing tasks), and indicating the preferred partitioning to the base station or network. Based on the indication, the base station/network may modify the baseband communication scheme, parameters, and/or values, and/or the radio interface communication scheme, parameters, and/or values utilized for the wireless transfers of data between the base station and the UE, thereby better managing (and in some cases, optimizing) the UE's stored energy usage and increasing battery life at the UE.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for bistatic radar assistance sensing. A radar-receiver receives (210), from a radar-transmitter, a configuration message that configures the radar-receiver to assist the radar-transmitter with bistatic radar sensing. The radar-receiver receives (214) a reflection of the radar signal. Responsive to the receiving the reflection of the radar signal, the radar-receiver transmits (218), to the radar-transmitter, a radar measurement report message. The radar-receiver receives (202), from the radar-transmitter, a radar capability enquiry. The radar-eceiver transmits (204), to the radar-transmitter in response to the radar capability enquiry, a radar capability response that indicates radar capabilities supported by the radar-receiver for the bistatic radar sensing.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for User Equipment-Coordination Set (UECS) Federated for Deep Neural Networks. A coordinating user equipment (UE) of the UECS communicates, to a second UE in the UECS and using one or more side links, one or more update conditions that indicate when to generate updated machine learning (ML) configuration information for one or more deep neural networks (DNNs) that are configured to perform some or all of a transmitter or a receiver processing functionality to process communications at the second UE. The coordinating UE receives, from the second UE over the one or more side links, one or more reports, each report including the updated ML configuration information determined by the second UE using a training procedure and input data local to the second UE.

Abstract: A backhaul node can implement a method for managing communications between a non-terrestrial base station and a core network. The method may include: establishing (502) a connection to the core network; requesting (504), from the non-terrestrial base station, radio resources for a radio connection between the backhaul node and the non-terrestrial base station; establishing (506) the radio connection; and routing (508) a data packet between the non-terrestrial base station and the core network using the radio connection.

Abstract: A receiver receives signals from a transmitter in subframes on subcarriers having orthogonal frequencies. A subset of the subframes include reference signals. The receiver generates a first channel estimate for a target subframe based on reference signals in the target subframe. The receiver also generates one or more second channel estimates for one or more other subframes based on one or reference signals in the other subframes. The receiver combines the first channel estimate and the one or more second channel estimates based on a frequency offset between the receiver and the transmitter to form a channel estimate of the target subframe. In some cases, the receiver performs joint estimates of a timing offset, a frequency offset, and a channel for the target subframe based on the reference signals, selected candidate timing offsets, selected candidate frequency offsets, and selected candidate channel estimates.

Abstract: A method in a user equipment (UE) having a first subscriber identity module for connecting to a first mobile network according to a first subscription and a second subscriber identity module for connecting to the first mobile network or a second mobile network according to a first second includes determining, by processing hardware, a preference of how the first mobile network is to process downlink data for the UE when the UE transitions from the first subscription to the second subscription (1102); and transmitting, by the processing hardware and to the first mobile network, an indication of the preference, to cause the first mobile network to process the downlink data for the UE based at least in part on the preference (1104).

Abstract: A method comprising transmitting, via a first antenna array of a mobile communication device, a plurality of transmit beams, and receiving, via a second antenna array of the mobile communication device, a plurality of receive beams. Each beam pair of a plurality of beam pairs includes a respective transmit beam of the plurality of transmit beams and a respective receive beam of the plurality of receive beams. Then determining, based on a comparison between beam pairs of the plurality of beam pairs, whether an object is proximate to the mobile communication device. Then responsive to determining that the object is proximate to the mobile communication device, determining one or more transmission parameters. Then transmitting, with the one or more transmission parameters, a signal.

Abstract: A method for reducing inter-user equipment (UE) interference in a communication system that includes a full-duplex base station. A method performed by the full-duplex base station includes selecting a first UE and a second UE as a half-duplex pair, the first UE and the second UE generating an inter-UE interference that achieves a threshold criterion. The method then includes receiving a first uplink signal on a specific frequency from the first UE and transmitting a first downlink signal on the specific frequency to the second UE, with the first uplink signal and the first downlink signal at least partially overlapping in time.

Abstract: A user equipment (UE) reduces power consumption by selectively disconnecting from a radio access network (RAN) while in a non-standalone (NSA) mode in response to detecting a threshold number of communication failures associated with the RAN. The UE connects to a core network in the NSA mode via both a 4G RAN and a 5G RAN. The UE monitors the connection with the 5G RAN for communication failures, such as Random Access Channel (RACH) failures, radio link failures (RLFs), and the like. In response to the number of detected failures exceeding a threshold, the UE can determine that the quality of the connection with the 5G RAN is providing relatively little benefit and can terminate the connection with the 5G RAN.

Abstract: Two devices in wireless communication implement a soft transmission feedback scheme. A data-sending device wirelessly communicates a first transmission representing a data block and generated using one or more neural networks to a data-receiving device, which processes the first transmission using one or more neural networks to attempt to recover the data block, as well as to generate transmission feedback indicating a status of the recovery attempt. The feedback is used by one or more neural networks to generate a second transmission that is wirelessly communicated to the data-sending device. One or more neural networks process the second transmission to generate a retransmit control signal. One or more neural networks selectively include at least a portion of the data block for retransmission in a third transmission to the data-receiving device based on the retransmit control signal.