Abstract: Logical channel prioritization and mapping to different numerologies is disclosed for 5G networks having multiple network slices operable for communication via logical channels associated with different numerologies. For user equipments (UEs) configured to handle multiple numerologies, different rules for mapping logical channels associated with different numerologies may be defined for data and non-data channels. Thus, when new data arrives at a UE for communication via a logical channel associated with a different numerology, the UE checks whether the mapping rules would allow multiplexing of the new numerology data onto an existing data channel. If no data channel has already been allocated or if an allocated data channel may not include data from the new numerology, then a mapping is followed for specifically requesting resources for communication of the new numerology data. The new mapping may trigger scheduling request or random access procedures specifically associated with the new numerology.

Abstract: Certain aspects of the present disclosure relate to methods and apparatus for improving voice over new radio (VoNR)-to-voice over long term evolution (VoLTE). An example method generally includes communicating with and camping on a next generation node B (gNB) in a 5G new radio (NR) system; initiating a voice call with the gNB; receiving a 5G NR-to-long term evolution (LTE) handover command in response to initiating the voice call; performing a handover procedure in response to the handover command; detecting a failure in the handover procedure; and taking one or more actions in response to detecting the failure in the handover procedure.

Abstract: A method and apparatus for receiving a notification of missing packets include receiving a set of data packets transmitted by a device and having a corresponding set of sequence numbers, identifying one or more data packets having corresponding sequence numbers that fall within the set of sequence numbers and are yet to be received, receiving an indication from the device that the one or more data packets will not be transmitted by the device, and processing the set of data packets without the one or more data packets in response to receiving the indication.

Abstract: A configuration for dynamic capacity for multiple universal subscriber identity modules. The apparatus transmits, to a base station, UE capability information in response to a UE capability enquiry, the UE capability information including a set of UE capabilities. The apparatus transmits, to the base station, UAI including an IE indicating a modified subset of UE capabilities of the set of UE capabilities when multiple USIMs are active at the UE. The apparatus operates based on the modified subset of UE capabilities when multiple USIMs are active at the UE.

Abstract: Methods, systems, and devices for wireless communications are described. A transmitting device may associate, at a first protocol layer, a first sequence number to a data packet to perform integrity protection on at least a portion of the data packet. The transmitting device may associate, at the first protocol layer, a second sequence number to the data packet for wireless transmission to a receiving device. The transmitting device may indicate an offset between the first sequence number and the second sequence number in the data packet. The transmitting device may transmit the data packet to a second protocol layer for wireless transmission to the receiving device, the second protocol layer being a lower layer than the first protocol layer.

Abstract: A method of wireless communication by a base station includes receiving a user equipment (UE) radio capability and a UE machine learning capability. The method also includes determining a neural network function (NNF) based on the UE radio capability. The method includes determining a neural network model. The neural network model includes a model structure and a parameter set, based on the NNF, the UE machine learning capability, and a capability of a network entity. The method also includes configuring the network entity with the neural network model.

Abstract: Methods, systems, and devices for wireless communications are described. In some examples, a wireless communications system may support machine learning and may configure a user equipment (UE) for machine learning. The UE may transmit, to a base station, a request message that includes an indication of a machine learning model or a neural network function based at least in part on a trigger event. In response to the request message, the base station may transmit a machine learning model, a set of parameters corresponding to the machine learning model, or a configuration corresponding to a neural network function and may transmit an activation message to the UE to implement the machine learning model and the neural network function.

Abstract: Methods, systems, and devices for wireless communications are described that provide for a transmitter (e.g., a user equipment (UE) or base station) and receiver (e.g., a UE or base station) to transmit and receive data packets that are encoded according to an outer coding technique. The outer coding technique may provide for data bits and parity bits to be included in a single physical layer transmission. In some cases, data packets (e.g., data bits) may be segmented into multiple subpackets, and coding may be performed across different subpackets of different data packets (e.g., in a diagonal coding pattern). In some examples, each transmission in the physical layer may contain both data subpackets and parity subpackets, which may balance an input and an output load of a buffer (e.g., a layer two (L2) decoding buffer at the receiver) during decoding.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may communicate with a network entity within a wireless communications network. The UE may transmit a request for information to the network entity and, in response to the request, the UE may receive the requested information from the network entity. For example, the UE may request data from one or more data repositories associated with the network entity. In some examples, the information request may be associated with one or more measurements associated with operations of the network. In some instances, the UE may use a machine learning model to perform training or inference based on the information associated with the one or more measurements.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, a grant for a communication with the base station. The UE may determine whether the communication is associated with a hybrid automatic repeat request (HARQ)-based transmission mode or a HARQ-less transmission mode. The UE may communicate with the base station based at least in part on the grant and the determination of whether the communication is associated with the HARQ-based transmission mode or the HARQ-less transmission mode. Numerous other aspects are described.

Abstract: Aspects of the present disclosure provide apparatus, methods, processing systems, and computer readable mediums for a nested conditional mobility procedure. In some cases, a method for wireless communications by a UE generally includes receiving configuration information configuring the UE for conditional handover (CHO) from a source master node (S-MN) to a target master node (T-MN) and for conditional primary secondary cell (PSCell) addition or change (CPAC) and performing a nested procedure based on an evaluation of conditions for both CHO and CPAAC in accordance with the configuration information.

Abstract: Methods, systems, and devices for wireless communications are described. In some examples, a user equipment (UE) may support dual connectivity. That is, the UE may establish communications with a master node and a secondary node of a wireless communications network. The master node may correspond to a master cell group (MCG) and the secondary node may correspond to a secondary cell group (SCG). In some examples, as described herein, the UE operating in dual connectivity may collect data for optimization of the wireless communications network or upon detecting a failure associated with the master cell group or the SCG and transmit the collected data to a network entity (e.g., one of the master node or the secondary node), where the collected data is based on the SCG being in a deactivated state. In some examples, upon receiving the collected data, the network entity may attempt to recover from the failure.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, from a master node associated with a primary cell, a configuration for a conditional procedure for adding or changing a primary secondary cell (PSCell) associated with a secondary node. The UE may also receive, from the master node, a configuration for a handover procedure for the primary cell. The UE may transmit a report that includes information related to the conditional PSCell procedure, information related to the primary secondary cell, or both, based on a triggering order between the conditional PSCell procedure and the handover procedure.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for determining neural network functions (NNFs) and configuring and using corresponding machine learning (ML) models for performing one or more ML-based wireless communications management procedures. An example method performed by a user equipment includes transmitting, to a base station (BS), UE capability information indicating at least one radio capability of the UE and at least one machine learning (ML) capability of the UE and receiving, from the BS based on the UE capability information, ML configuration information indicating at least one neural network function (NNF) and at least one ML model corresponding to the at least one NNF.

Abstract: A method of wireless communication, by a transmitting device, includes encoding information packets with an outer code to generate a first outer codeword. The first outer codeword includes information packets in addition to parity packets. The method also includes transmitting, to a receiving device, the information packets and the parity packets of the first outer codeword, according to a sequence. A method of wireless communication by a receiving device, includes receiving packets belonging to a first outer codeword, the packets including information packets and parity packets. The method also includes storing the packets in a buffer; and flushing the packets from the buffer in response to satisfying a condition.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for an ML model training procedure. A network entity may receive a trigger to activate an ML model training procedure based on at least one of an indication from an ML model repository or a protocol of the network entity. The network entity may transmit an ML model training request to activate the ML model training at one or more nodes. The one or more nodes may be associated with a RAN that may transmit, based on receiving the ML model training request, ML model training results indicative of a trained ML model. In aspects, an apparatus, such as a UE, may train the ML model based on an ML model training configuration received from the RAN, and transmit an ML model training report indicative of the trained ML model.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for a UE capability for AI/ML. A UE may receive a request from a network to report a UE capability for at least one of an AI procedure or an ML procedure. The UE may transmit to the network, based on the request to report the UE capability, an indication of one or more of an AI capability, an ML capability, a radio capability associated with the at least one of the AI procedure or the ML procedure, or a core network capability associated with the at least one of the AI procedure or the ML procedure.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a primary cell or a primary secondary cell (PSCell), configuration information for a conditional PSCell addition or change (CPAC), the configuration information indicating configurations for one or more candidate PSCells. The UE may detect a failure, associated with the conditional PSCell addition or change, associated with a first target PSCell from the one or more candidate PSCells. The UE may perform an action to recover the CPAC based at least in part on detecting the failure. Numerous other aspects are described.

Abstract: Methods, systems, and devices for wireless communications are described that provide for a user equipment (UE) to report packet switched voice call capabilities to a base station. The UE may explicitly report voice call capabilities via one or more system-level parameters that are transmitted to the base station. The base station may operate in a first radio access network (RAN), such as a 5G or new radio (NR) RAN. In cases where the UE indicates a capability for packet switched voice calls via the first RAN, one or more voice calls may be established with the UE via the first RAN. In cases where the UE indicates that it is not capable of packet switched voice calls via the first RAN, the UE may fall back to a different RAN (e.g., a 4G or LTE RAN, a 3G RAN, or a 2G RAN) for voice calls.

Abstract: Methods, systems, and devices for wireless communication are described related to a duty cycle configuration for power saving. A user equipment (UE) may receive control signaling indicating a duty cycle for cycling between a first power state associated with a first configuration and a second power state associated with a second configuration. In some examples, the first and second configurations may indicate a bandwidth part (BWP) configuration, restricted reception or transmission of one or more channels within the BWP configuration, or both for the UE. The UE may communicate first data traffic in accordance with the first configuration while operating in the first power state. The UE may transition from the first power state to the second power state in accordance with the duty cycle. The UE may communicate second data traffic in accordance with the second configuration while operating in the second power state.