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: Techniques and apparatuses are described for joint-processing of random access channel communications to improve the reliability and/or the geographic range of a random access procedure for a user equipment. Joint-processing, including joint-transmission and/or joint-reception, by a user equipment-coordination set on behalf of a single user equipment, or by an Active Coordination Set of base stations with the single user equipment, can improve the link budget of Random Access Channel communications and facilitate network access for a user equipment at a greater distance from a base station or in the face of challenging channel conditions.

Abstract: Techniques and apparatuses are described for user equipment-coordination set, UECS, hybrid automatic repeat request, HARQ, that establish a HARQ timeline that is specific to the capabilities of a respective UECS. Compared to a single user equipment, UE, the HARQ timeline for a UECS depends on a number of factors, such as the joint processing capability in the UECS, latency of communication over a local wireless network between the UEs in the UECS, or the like. Based on its capabilities, the UECS can request uplink and/or downlink processing delay times or a UECS-specific HARQ timeline from a base station. The base station grants the uplink and/or downlink processing delay times or the UECS-specific HARQ timeline to the UECS in a layer-1, layer-2, or a layer-3 control message. The use of a UECS-specific HARQ timeline increases the reliability of HARQ signaling for uplink and downlink communication between the UECS and a base station.

Abstract: Techniques and apparatuses are described for secondary cell-user equipment (SC-UE) handovers. In aspects, a base station provides, as a primary cell, primary cell services to a first group of user equipments (UEs) in a first base station-user equipment dual connectivity (BUDC) group. In implementations, the base station determines to perform an SC-UE handover that disconnects a first UE from a first secondary cell-user equipment (SC-UE) that provides a first secondary cell to the first BUDC group and connects the first UE to a second SC-UE that provides a second secondary cell to a second BUDC group. The base station directs the first SC-UE to release the first UE from the first BUDC group, and communicates, as the primary cell, control-plane information or user-plane data with one or more UEs in the first group of UEs that remain in the first BUDC group.

Abstract: A high-altitude platform (HAP) node provides communication service during an emergency. The HAP node uses a first network to provide communication services for handling calls initiated by at least one user equipment (UE). The HAP node detects that an emergency disruption has occurred that prevents the use of the first network. In response to detecting the occurrence of the emergency disruption, a mobile terminal (MT) in the HAP node searches for a second network able to accept emergency calls. The HAP node determines whether the second network will handle all calls initiated by the at least one UE or only emergency calls generated by the at least one UE. The HAP node handles the calls based on the determining and through the use of the second network.

Abstract: Techniques and apparatuses are described for generating an end-to-end machine-learning configuration for wireless networks. An end-to-end machine-learning controller determines an end-to-end machine-learning configuration for processing information exchanged through an end-to-end communication in a wireless network. The end-to-end machine-learning controller obtains capabilities of one or more devices that are utilized in the end-to-end communication. The end-to-end machine-learning controller determines the end-to-end machine-learning configuration for processing the information exchanged through the end-to-end communication, and directs the one or more devices to process the information exchanged through the end-to-end communication by forming one or more deep neural networks based on the end-to-end machine-learning configuration.

Abstract: Processing hardware in a user equipment (UE) that communicates with a core network (CN) via a radio access network (RAN) can implement a method of routing outgoing traffic from the UE. The method includes determining a proscribed traffic descriptor which the UE is to match to rules defined by the CN that specify route selection for outgoing traffic (602). The method further includes preventing use of the traffic descriptor for application of a rule specifying route selection to the outgoing traffic (606).

Abstract: This document describes methods and devices for group handover/cell reselection. A source base station (401) identifies a plurality of user equipments (110) as a group, sends a group identifier to the group, and determines to initiate a handover/cell reselection for the group. The source base station (401) then negotiates handover parameters with a target base station (402) and sends, to user equipments of the group that are in an engaged mode, a group handover command with directions to connect with the target base station (402). The source base station (401) also identifies a plurality of candidate target base stations (501) and sends, to user equipments of the group that are in a disengaged mode, a group reselection command with directions to reselect one of the plurality of candidate target base stations (501).

Abstract: This document describes methods, devices, systems, and means for user-equipment-coordination-set (UESC) scheduling in which a coordinating user equipment receives an indication from a base station specifying multiple user equipments to include in the user-equipment-coordination set. The coordinating user equipment allocates resources to each of the multiple user equipments for communication using the local wireless network and transmits a UECS resource grant to each of the multiple user equipments for communication using the local wireless network. The coordinating user equipment communicates with the multiple user equipments, using the resources granted in the UECS resource grants for the local wireless network, to coordinate a joint communication between the user-equipment-coordination set and the base station.

Abstract: The present disclosure describes techniques and systems for wireless communications between a base station [120] and a user equipment [110] using an enhanced radio-resource control idle mode. The described techniques and systems enable a user equipment [110] to receive a radio-resource control release message [410] that includes a cell radio-network temporary-identifier and, in response, enter [415] the enhanced radio-resource control idle mode. While in the enhanced radio-resource control idle mode, the user equipment [110] may receive a message [420] in accordance with the cell radio-network temporary-identifier and present the received message.

Abstract: Techniques and apparatuses are described for enabling user equipment to coordinate for interference cancelation. In some aspects, base stations form a user equipment coordination set by pairing a UE of a base station with another UE of another base station. The UE receives, from the other UE, information regarding an uplink transmission of the other UE to the other base station, the information including I/Q samples for the uplink transmission. Based on the received information, the UE can model interference from the uplink transmission of the other UE to a reception of a downlink transmission by the base station to the UE. After the UE receives the downlink transmission, the UE cancels, based on the modeling of the interference, the interference to the received downlink transmission from the uplink transmission of the other UE. By so doing, receiver performance or link quality of the interference-canceling UE can be improved.

Abstract: This document describes techniques and devices for determining a machine-learning architecture for network slicing. A user equipment (UE) and a network-slice manager communicate with each other to determine a machine-learning (ML) architecture, which the UE then employs to wirelessly communicate data for an application. In particular, the UE selects a machine-learning architecture that provides a quality-of-service level requested by an application. The network-slice manager accepts or rejects the request based on one or more available end-to-end machine-learning architectures associated with a network slice that supports the quality-of-service level requested by the application. By working together, the UE and the network-slice manager can determine an appropriate machine-learning architecture that satisfies a quality-of-service level associated with the application and forms a portion of an end-to-end machine-learning architecture that meets the quality-of-service requested by the application.

Abstract: The present disclosure describes techniques and systems for user device-initiated bandwidth requests. In some aspects, a user device determines conditions related to communicating with a base station over a wireless connection. The user device selects, based on the determined conditions, a frequency bandwidth for communicating with the base station. The user device then transmits, to the base station, a request to communicate over the selected frequency bandwidth. In some implementations, the user device may receive, in response to transmitting the request, a resource grant allocating at least a portion of the selected frequency bandwidth for communicating over the wireless connection.

Abstract: The subject matter described herein provides systems and techniques to automatically configure a proximal device, such as a smart watch, a tablet, or any other smart device, based on configuration information sent from the user equipment (UE) to the proximal device when the local communications connection, such as a wireless connection, between the devices is weak. If it is determined that there is a weak local communications connection between the UE and the proximal device the UE may automatically send network configuration information to the proximal device. If it is determined that there is a weak local communications connection between the UE and the proximal device the UE may automatically turn on its mobile hotspot, and automatically send the mobile hotspot configuration information to the proximal device.

Abstract: This document describes techniques and apparatuses for optimizing a cellular network using machine learning. In particular, a network-optimization controller uses machine learning to determine an optimized network-configuration parameter that affects a performance metric of the cellular network. To make this determination, the network-optimization controller requests and analyzes gradients determined by one or more user equipments, one or more base stations, or combinations thereof. By using machine learning, the network-optimization controller identifies different optimized network-configuration parameters associated with different local optima or global optima of an optimization function, and selects a particular optimized network-configuration parameter that is appropriate for a given environment. In this manner, the network-optimization controller dynamically optimizes the cellular network to account for both short-term and long-term environmental changes.

Abstract: A user equipment (UE) manages thermal levels of antenna modules with reference to a temperature threshold. The UE includes multiple antenna modules having a first antenna module and a second antenna module and at least one wireless transceiver coupled to the multiple antenna modules. The UE also includes a processor and memory system implementing an antenna module thermal manager. The manager is configured to obtain a first temperature indication corresponding to the first antenna module of the multiple antenna modules. The manager is also configured to perform a comparison of the first temperature indication to at least one temperature threshold. The manager is further configured to switch, based on the comparison, from using the first antenna module to using the second antenna module for wireless communication with the at least one wireless transceiver.

Abstract: Techniques and apparatuses are described for enabling user equipment to coordinate for interference cancelation. In some aspects, base stations form a user equipment-coordination set by pairing a first UE of a first base station with a second UE of a second base station. The UE receives a first downlink transmission from the first base station. The UE 111 receives, from the second UE, information regarding a second downlink transmission of the second base station. Based on the received information, the UE can model and cancel interference from the second downlink transmission of the second base station to a reception of a first downlink transmission by the first base station to the first UE.

Abstract: A method for allocating available transceiver resources across different component carriers (CC) includes obtaining a carrier aggregation capability that includes a list of available CCs supported by the UE at a current location for simultaneous communication with a carrier aggregation capable network. The method also includes, for each of the available CCs, obtaining an expected key performance indicator (KPI) associated with the corresponding available CC at the current location. The method also includes allocating the available transceiver resources across the available CCs based on the expected KPIs at the current location.

Abstract: The present disclosure describes techniques and systems for beam search pilots for paging channel communications. In some aspects, a user device receives, from a base station of a wireless network, a beam search pilot on a beam. The user device determines that a signal quality of the beam search pilot meets a signal quality threshold. Based on this determination, the user device transmits, to the base station, an indication that the beam search pilot meets the signal quality threshold. The user device then receives a paging channel communication on the beam provided by the base station.

Abstract: The present disclosure describes techniques and systems for user device-initiated requests for resource configuration. In some aspects, a user device can detect one or more conditions related to communicating with a base station over a wireless connection. The user device selects, based on the conditions, a numerology configuration for communicating with the base station. The user device then transmits a request indicating the selected numerology configuration to the base station, which can then allocate resources to the user device based on the request. This may allow the user device to influence a resource configuration that is better suited for communication over one or more channels of the wireless connection.