Abstract: Methods are disclosed for enhanced Physical Uplink Control Channel (PUCCH) transmission for 3rd Generation Partnership Project (3GPP) new radio (NR) technologies.

Abstract: A method and a user equipment (UE) are provided for explicitly linking repeated physical downlink control channels (PDCCHs). The UE receives the repeated PDCCHs from a network. Each of the repeated PDCCHs include downlink control information (DCI) that schedules reception of a same physical downlink shared channel (PDSCH) at the UE. The UE links the repeated PDCCHs having common PDCCH candidate numbers across search space (SS) sets of a control resource set (CORESET). The repeated PDCCHs are received in accordance with the UE and the network communicating using a multi-transmission and reception point (TRP) repetition scheme or a multi-TRP multi-chance scheme.

Abstract: Methods and devices are provided in which a channel encoded with a polarization-adjusted convolutional (PAC) code is received. A decoded codeword is generated based at least in part on simplified successive cancellation list (SSCL) decoding performed on the channel via a decoding tree. The decoding tree includes a node that generates candidate codeword output based on predefined processing using convolutional code (CC) state input and channel vector input. A sub-tree of the node remains unprocessed.

Abstract: A method and a user equipment (UE) are provided for monitoring physical downlink control channel (PDCCH) candidates. A first reference control resource set (CORESET) is identified having a first CORESET pool index value associated with a first transmission and reception point (TRP). A second reference CORESET is identified that is associated with a second TRP. The PDCCH candidates are monitored in the first reference CORESET, the second reference CORESET, and one or more CORESETs that overlap one of the first reference CORESET or the second reference CORESET in a time domain and are associated with a same TRP as the one of the first reference CORESET or the second reference CORESET. The PDCCH candidates are received.

Abstract: A method and a user equipment (UE) are provided for resource allocation. The UE receives repeated physical downlink control channels (PDCCHs) from a network. Each of the repeated PDCCHs includes downlink control information (DCI) that schedules reception of a same physical downlink shared channel (PDSCH) at the UE. The UE determines resources for at least one of transmission and reception at the UE, from a PDCCH having a latest start symbol or a latest ending symbol among the repeated PDCCHs. The repeated PDCCHs are received in accordance with the UE and the network communicating using a multi-transmission reception point (TRP) repetition scheme or a multi-TRP multi-chance scheme.

Abstract: A method may include multiplexing control information on a physical channel in a communication system, wherein the control information comprises a repeat request acknowledgment portion, and allocating an amount of resources of the physical channel for the repeat request acknowledgment portion based on an amount of a type of acknowledgment included in the acknowledgment portion. The type of acknowledgment may include an acknowledgment for dynamically granted traffic. The amount of resources may include a reserved amount of resources based on the amount of acknowledgment for dynamically granted traffic being less than a threshold. A method may include multiplexing control information on a physical channel in a communication system, wherein the control information may include a repeat request acknowledgment portion, and allocating an amount of resources of the physical channel for the repeat request acknowledgment portion based on a threshold, wherein the threshold is variable.

Abstract: A processing circuit implements: an encoder configured to: supply k symbols of original data to a neural product encoder including M neural encoder stages, a j-th neural encoder stage including a j-th neural network configured by j-th parameters to implement an (nj,kj) error correction code (ECC), where nj is a factor of n and kj is a factor of k; and output n symbols representing the k symbols of original data encoded by an error correcting code; or a decoder configured to supply n symbols of a received message to a neural product decoder including neural decoder stages grouped into a l pipeline stages, an i-th pipeline stage of the neural product decoder including M neural decoder stages, a j-th neural decoder stage comprising a j-th neural network configured by j-th parameters to implement an (nj,kj) ECC; and output k symbols decoded from the n symbols of the received message.

Abstract: A system and a method are disclosed for AI/ML model LCM. A method performed by a UE includes transmitting, to a base station, a first signal including an indication of AI/ML use cases supported by the UE, and an indication of properties for the supported AI/ML use cases, receiving, from the base station, a second signal including at least one of a configuration, an activate command, or a trigger command of a CSI report to deploy at least one of a plurality of AI/ML functionalities based on the first signal, performing an inference operation for the CSI report based on the second signal, and transmitting, to the base station, a report based on the CSI report and the at least one of the plurality of AI/ML functionalities.

Abstract: A system and a method are disclosed for performing a UE-initiated beam-management procedure, the method includes receiving, by a user equipment (UE), configuration information including beam-quality-assessment data, for the UE to determine a quality of a current beam and/or a quality of a new beam, and triggering-event data, for the UE to determine that a condition is satisfied for performing a UE-initiated (UEI) beam-management (BM) procedure, and based on determining, by the UE, that the condition is satisfied, sending a beam report.

Abstract: A system and a method are disclosed for performing a UE-initiated beam-management procedure, the method includes receiving, by a user equipment (UE), configuration information including reporting data, for the UE to report information about a quality of a current beam and/or a quality of a new beam, and triggering-event data, for the UE to determine that a condition is satisfied for performing a UE-initiated (UEI) beam-management (BM) procedure, and based on determining, by the UE, that the condition is satisfied, sending a beam report including information regarding the quality of the current beam and/or the quality of the new beam.

Abstract: A system and method for monitoring and scheduling. In some embodiments, the method includes receiving, by a user equipment (UE), a downlink control information (DCI), the DCI specifying the scheduling of a first Physical Downlink Shared Channel (PDSCH) and a second PDSCH.

Abstract: A device, such as a UE, and a Transmit and Receive Point (TRP) in a High-Speed Train-Single Frequency Network (HST-SFN) are disclosed that provide network-assisted frequency-offset compensation for the device. The device includes a receiver that receives a first reference signal and a second reference signal sent over a wireless network from a first TRP. The first reference signal corresponds to a QCL RS of the second reference signal. The device receiver determines delay-spread and average-delay information for a path between the first TRP to the device based on the first reference signal. The device receiver further receives a third reference signal from a second TRP that includes Doppler-shift and Doppler-spread information, and corresponds to a QCL RS of a fourth reference signal transmitted from the second TRP or corresponds to the second reference signal transmitted in a SFN manner from the first TRP.

Abstract: Methods and apparatuses are provided for providing dynamic power sharing at a user equipment (UE). A first uplink transmission is configured on a secondary cell group (SCG). An offset from a starting symbol of the first uplink transmission is determined, by the UE, based on a physical uplink shared channel (PUSCH) preparation time for a PUSCH timing capability. Based on the offset, a group of overlapping uplink transmissions on a master cell group (MCG) is defined. A total power is shared among uplink transmissions in the group of overlapping uplink transmissions on the MCG and the first uplink transmission on the SCG.

Abstract: A system and a method are disclosed for artificial intelligence (AI) and machine learning (ML) based channel state information (CSI) prediction. The method includes receiving, by a user equipment (UE), a CSI reference signal (RS) from a base station; storing, by the UE, a series of CSI measurements corresponding to the received CSI-RS; receiving, by the UE, a CSI report configuration including an indication that artificial intelligence machine learning (AIML) CSI prediction is applied; in response to receiving the indication that AIML CSI prediction is applied, generating, by the UE, a predicted CSI based on the stored CSI measurements using a trained AIML model; and transmitting, by the UE, the predicted CSI to the base station.

Abstract: A method and a user equipment (UE) are provided for explicitly linking repeated physical downlink control channels (PDCCHs). The UE receives the repeated PDCCHs from a network. Each of the repeated PDCCHs include downlink control information (DCI) that schedules reception of a same physical downlink shared channel (PDSCH) at the UE. The UE links the repeated PDCCHs having common PDCCH candidate numbers across search space (SS) sets of a control resource set (CORESET). The repeated PDCCHs are received in accordance with the UE and the network communicating using a multi-transmission and reception point (TRP) repetition scheme or a multi-TRP multi-chance scheme.

Abstract: A system and a method may include a receiver circuit configured to receive an encoded codeword over a channel from an encoder neural network of an encoder, and a decoder circuit, including a decoder neural network, configured to decode the encoded codeword, and generate a list of decoded message words, the list of the decoded message words including a plurality of candidate message words representing the message word.

Abstract: Methods and apparatuses are provided in which a UE reports capability information indicating a first set of pairs and a second set of tuples. Each pair indicates serving cells configured for per-slot and per-span monitoring. Each tuple indicates serving cells configured for per-slot and per-span monitoring in an MCG and an SCG. A first pair of values for the MCG and a second pair of values for the SCG are received. A first value in each pair is a maximum number of serving cells configured for per-slot monitoring, and a second value in each pair is a maximum number of serving cells configured for per-span monitoring. A monitored candidate limit per slot is determined for the MCG and the SCG based on the first value. A monitored candidate limit per span is determined for the MCG and the SCG based on the second value.

Abstract: An apparatus may include a receiver configured to receive a reference signal using a channel, and receive restriction information relating to the channel, a processing circuit configured to determine channel information based on the reference signal, and generate, using a machine learning model, a representation based on the channel information and the restriction information, a transmitter configured to transmit the representation.

Abstract: A method may include multiplexing control information on a physical channel in a communication system, wherein the control information comprises a repeat request acknowledgment portion, and allocating an amount of resources of the physical channel for the repeat request acknowledgment portion based on an amount of a type of acknowledgment included in the acknowledgment portion. The type of acknowledgment may include an acknowledgment for dynamically granted traffic. The amount of resources may include a reserved amount of resources based on the amount of acknowledgment for dynamically granted traffic being less than a threshold. A method may include multiplexing control information on a physical channel in a communication system, wherein the control information may include a repeat request acknowledgment portion, and allocating an amount of resources of the physical channel for the repeat request acknowledgment portion based on a threshold, wherein the threshold is variable.

Abstract: A system and method for setting blind detection and control channel element monitoring limits in a carrier aggregation scheme. In some embodiments, the method includes: receiving, by a network from a first user equipment (UE), a declaration of capabilities of the first UE; sending, by the network, to the first UE, a first search space (SS) configuration for a first component carrier in a carrier aggregation (CA) scheme; and sending, by the network, to the first UE, a second search space configuration for a second component carrier in the carrier aggregation scheme. The first search space configuration may define a first set of monitoring occasions, the second search space configuration may define a second set of monitoring occasions (MOs), and an aligned span pattern, corresponding to the first set of monitoring occasions and the second set of monitoring occasions, may comply with the declaration of capabilities of the first UE.