Abstract: The techniques described in this disclosure enhance the reception of the information at a user equipment (UE) from an Active Coordination Set (ACS) of a wireless network system, where the ACS includes a set of base stations that jointly operate to communicate data between the system and the UE. The ACS allocates respective subsets of a plurality of time domain resources for use by corresponding ACS base stations in communicating with the UE, and provides, to the UE, an indication of the allocations. Based on the received allocation indication (502), the UE obtains data payload transmitted by the ACS (508) by tuning to various base stations in accordance with their respective time domain resource allocations (505). The ACS may redundantly transmit selected data payload and/or employ different encoding schemes to further enhance reception of information at the UE.

Abstract: Techniques and apparatuses are described for machine-learning architectures for broadcast and multicast communications. A network entity processes broadcast or multicast communications using a deep neural network (DNN) to direct the one or more broadcast or multicast communications to a targeted group of user equipments (UEs) using the wireless communication system. The network entity receives feedback from at least one user equipment (UE) of the targeted group of UEs. The network entity determines a modification to the DNN based on the feedback. The network entity transmits an indication of the modification to the targeted group of UEs. The network entity updates the DNN with the modification to form a modified DNN. The network entity processes the broadcast or multicast communications using the modified DNN to direct the broadcast or multicast communications to the targeted group of UEs using the wireless communication system.

Abstract: A system and method of network slicing for sidelink devices. The method includes establishing a sidelink connection with a second UE (104). The method includes receiving, from the second UE (104) via the sidelink connection (119), a first request for a network slice of a physical network (106). The method includes transmitting, responsive to receiving the first request for the network slice, a first message to the physical network over a first network slice between the first UE (102) and the physical network (106) to request the physical network to establish a second network slice communicatively coupling the second UE (104) to the physical network (106) via the sidelink connection (119).

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: Aspects describe communicating quantized machine-learning, ML, configuration information over a wireless network. A base station selects (605) a quantization configuration for quantizing ML configuration information for a deep neural network, DNN, where the quantization configuration indicates one or more quantization formats associated with quantizing the ML configuration information. The base station transmits (610) an indication of the quantization configuration to a user equipment, UE and transfers (615), over the wireless network and with the UE, quantized ML configuration information using the quantization configuration.

Abstract: A base station (BS) supporting a protocol stack can implement a method for increasing network efficiency. The method includes transmitting (202), to at least a first user equipment (UE), a group identity for a group of two or more UEs that includes the first UE. The method further includes generating (302), by processing hardware of the base station and using the group identity, a data signal that includes aggregated downlink data. The aggregated downlink data includes (i) a UE-specific identity for at least two target UEs within the group and (ii) for each target UE of the at least two target UEs, a respective UE-specific identity, at an upper layer of the protocol stack, that indicates a location of the UE-specific downlink data intended for the target UE within the aggregated downlink data. The method further includes transmitting (306) the data signal to at least a portion of the group via a downlink data channel.

Abstract: The systems, methods, and techniques described in this disclosure allow different wireless systems that operate in accordance with different Radio Access Technologies (RATs) to coexist within a same frequency domain with minimal (if any) inter-RAT interference. Specifically, the described techniques allocate a respective, mutually-exclusive portion of a plurality of Space-Time-Frequency (STF) resources for use in communicating in accordance with each different RAT. For example, mutually-exclusive portions of spatial domain resources, time domain resources, and/or frequency domain resources may be respectively allocated for exclusive use by different RATs. A centralized, third-party controller (120) may perform the allocations, or the allocations may be cooperatively arrived at between systems supporting different RATs, e.g., in a peer-to-peer manner. STF resource allocations may be static and/or dynamic over time, and STF resources may be uniquely identified by respective resource identifiers.

Abstract: A technique for utilizing network resources includes allocating a first set of network resources associated with a first network provider that operates a first core network and utilizes a first radio carrier (802) and a second set of network resources associated with a second network provider that operates a second core network and utilizes a second radio carrier (808). The technique also includes combining the first set of network resources and the second set of network resources to generate a combined set of network resources (810), and using the combined set of network resources to transmit data between a user device and the first core network and between the user device and the second core network, concurrently in a same communication session (812).

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: 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: 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 stab on.

Abstract: Techniques and apparatuses are described for machine-learning architectures for broadcast and multicast communications. A network entity processes broadcast or multicast communications using a deep neural network (DNN) to direct the one or more broadcast or multicast communications to a targeted group of user equipments (UEs) using the wireless communication system. The network entity receives feedback from at least one user equipment (UE) of the targeted group of UEs. The network entity determines a modification to the DNN based on the feedback. The network entity transmits an indication of the modification to the targeted group of UEs. The network entity updates the DNN with the modification to form a modified DNN. The network entity processes the broadcast or multicast communications using the modified DNN to direct the broadcast or multicast communications to the targeted group of UEs using the wireless communication system.

Abstract: A method in a UE for transmitting data via a contention-based BWP in an idle state of a protocol for controlling radio resources can be executed by one or more processors. The method includes determining that the UE has time alignment with a base station for an uplink transmission to the base station (602), determining that a time resource for the uplink transmission is available on the contention-based BWP (604), and transmitting data within the time resource in accordance with the time alignment, while the UE is in the idle state (606).

Abstract: Techniques and apparatuses are described for user equipment-coordination set (UECS) federated learning for deep neural networks (DNNs). A coordinating user equipment (UE) in a UECS communicates (1505), to at least a subset of UEs in the UECS, one or more update conditions that indicate when to generate updated ML configuration information for a respective DNN that processes UECS communications. The coordinating UE then receives (1510) one or more reports that include the updated ML configuration information from respective UEs of at least the subset of UEs. In aspects, the respective UE generates the updated ML configuration information using a training procedure and local input data. The coordinating UE determines (1515) a common UECS ML configuration by applying federated learning techniques to the updated ML configuration information and directs (1520) at least one UE in the subset to update the respective DNN using the at least one common UECS ML configuration.

Abstract: A method in a base station configured to communicate with a user device using a first RAT and/or a first radio resource includes receiving (422 or 521) a first random access message from the user device via first RACH resources, determining (426 or 526) that the first random access message is requesting RAT and/or radio resource availability, and transmitting (430 or 529) to the user device a second random access message indicating whether a second RAT and/or a second radio resource is available to the user device.

Abstract: Aspects describe federated learning for deep neural networks, DNNs, in a wireless communication system. A network entity directs (610) each user equipment, UE, in a set of UEs to form, using an initial machine-learning (ML) configuration, a respective deep neural network, DNN, that processes wireless network communications. The network entity requests (620), from each UE in the set of UEs, respective updated ML information generated by the respective UE using a training procedure and local input data. The network entity then receives (640), from at least some UEs in the set of UEs, the respective updated ML information determined by the respective UE. The network entity identifies (645) a subset of UEs in the set of UEs and determines (650) a common ML configuration for the subset of UEs. The network entity then directs (655) each UE in the subset of UEs to form an updated DNN using the common ML configuration.

Abstract: The systems, methods, and techniques described in this disclosure allow different wireless systems that operate in accordance with different Radio Access Technologies (RATs) to coexist within a same frequency domain with minimal (if any) inter-RAT interference. Specifically, the described techniques allocate a respective, mutually-exclusive portion of a plurality of Space-Time-Frequency (STF) resources for use in communicating in accordance with each different RAT. For example, mutually-exclusive portions of spatial domain resources, time domain resources, and/or frequency domain resources may be respectively allocated for exclusive use by different RATs. A centralized, third-party controller (120) may perform the allocations, or the allocations may be cooperatively arrived at between systems supporting different RATs, e.g., in a peer-to-peer manner. STF resource allocations may be static and/or dynamic over time, and STF resources may be uniquely identified by respective resource identifiers.

Abstract: In a radio access network (RAN), a method for increasing network efficiency includes partitioning (702) a pool of identifiers into at least a plurality of identifier sets associated with a plurality of respective sets of base stations in the RAN. The identifier sets include a first identifier set associated with a first base station set of the plurality of respective sets of base stations. The method also includes determining (704) that the first base station set is to serve a user device and assigning (706) a first identifier from the first identifier set to the user device. The method further includes transmitting (708) the first identifier to the user device and jointly transmitting, by at least two base stations of the first base station set, information to the user device via a channel, including using (710) the first identifier to indicate that the channel carries information for the user device.

Abstract: A base station (BS) communicatively connected to a group including a first user equipment (UE) and a second UE can implement a method. The method includes determining (316 or 416), by processing hardware of the base station, a channel state information (CSI) process configuration for the group. The method also includes transmitting (318) a control signal including the CSI process configuration to the group, and transmitting (336) a reference signal to the group in accordance with the CSI process configuration. The method further includes, in response to transmitting the reference signal to the group, receiving (354) from at least one UE of the group an indication of joint channel state of the group.

Abstract: A base station (BS) supporting a protocol stack can implement a method for increasing network efficiency. The method includes transmitting (202), to at least a first user equipment (UE), a group identity for a group of two or more UEs that includes the first UE. The method further includes generating (302), by processing hardware of the base station and using the group identity, a data signal that includes aggregated downlink data. The aggregated downlink data includes (i) a UE-specific identity for at least two target UEs within the group and (ii) for each target UE of the at least two target UEs, a respective UE-specific identity, at an upper layer of the protocol stack, that indicates a location of the UE-specific downlink data intended for the target UE within the aggregated downlink data. The method further includes transmitting (306) the data signal to at least a portion of the group via a downlink data channel.