Abstract: Aspects of the present disclosure provide solutions to UE-initiated beam switching, beam pair switching, or link switching based on use of an association of at least two types of reference signals. The at least two types of reference signals include, but are not limited to, a beam management reference signal (BM-RS), a tracking reference signal (T-RS) and a channel state information acquisition reference signal (CSIA-RS).

Abstract: A method includes: a terminal device sends a first message to a network device, where the first message is associated with a service of the terminal device, and the first message is for waking up the network device. The terminal device establishes a connection to the network device. According to the method, the service of the terminal device is associated with the first message for waking up the network device, so that the network device wakes up a device based on the first message associated with the service.

Abstract: Methods and apparatuses for performing MIMO transmissions are described. Retransmission schemes are described for MIMO transmissions. In an example, a transmitter node obtains a plurality of packets to be transmitted to an intended receiver node over a plurality of MIMO layers. A set of one or more cross-block check blocks is generated, where the set of one or more cross-block check blocks being is using a plurality of bits selected from across two or more packets to be transmitted over respective two or more MIMO layers. The set of one or more cross-block check blocks is transmitted over one or more MIMO layers.

Abstract: A communication method includes: a first apparatus obtains first information, where the first information indicates the first apparatus to perform multi-link hybrid automatic repeat request (HARQ) combination; the first apparatus receives first data from a first link, where the first data is initial transmission data or retransmission data for third data, and the first link is a link between the first apparatus and a second apparatus; the first apparatus receives second data from a second link, where the second data is retransmission data for the third data, and the second link is a link between the first apparatus and a third apparatus; and the first apparatus performs HARQ combination on the first data and the second data based on the first information.

Abstract: A method includes: obtaining mapping relationship information, where the mapping relationship information indicates a mapping relationship between at least one link and at least one group of timing values, and each group of timing values includes at least one transmit timing value and/or at least one receive timing value; determining, based on a scheduled target link and the mapping relationship information, a timing value corresponding to the target link; and performing communication through the target link based on the timing value.

Abstract: Methods and apparatuses for providing feedback in a HARQ scheme are described. A transmission-specific channel quality indicator (CQI) feedback scheme is described. A channel coding-related feedback scheme is also described.

Abstract: According to the present disclosure, there are provided methods and devices for utilizing controllable metasurface devices capable of redirecting a wavefront transmitted by a transmitter to a receiver in the wireless network to take advantage of the controllable metasurface device capabilities, intelligence, coordination and speed, and thereby enable solutions having different signaling details and capability requirements.

Abstract: A reference signaling scheme is provided that is based on the use of a Zadoff Chu sequence with cyclic repetition, optionally code division multiplexing precoding, together with frequency domain spectral shaping (FDSS). A specific pulse shape design for the FDSS part of the reference signal scheme in some embodiments involves the use of a raised cosine pulse raised to the power of ?. The new solution for generating reference signals has a Low peak average power ratio that matches the PAPR of SC-OQAM, good channel estimation performance, and the ability to implement CDM in the frequency domain to increase multiplexing gain.

Abstract: Provided is a method in a user equipment, the method comprising: as part of a HARQ process having a HARQ process ID, transmitting an initial grant-free transmission and K?1 repetitions, where K>=2. A pre-defined mapping of the HARQ process ID to at least one resource available for grant-free transmission is a function of K.

Abstract: Data heterogeneity has been shown to reduce the convergence speed and model accuracy in existing federated learning (FL) and distributed learning (DL) based artificial intelligence or machine learning (AI/ML) model training processes. In some embodiments, a group of devices participating in an FL or DL based AI/ML model training process is divided into clusters, e.g., based on similarities in their data class distributions, and each device is configured with a cascaded AI/ML model that includes a first AI/ML sub-model and a second AI/ML sub-model that are cascaded. For each device, one of the cascaded sub-models is a common AI/ML sub-model that is common to all devices in the group, and the other sub-model is a cluster-specific AI/ML sub-model that is common to the cluster that the device has been assigned to within the group of devices. A multi-stage training process for the cascaded AI/ML model is also provided.

Abstract: Some embodiments of the present disclosure provide initial access procedures that allow a UE to become connected to a non-terrestrial transmit-receive point, such as a device in a high altitude platform system. Through receipt of a positioning reference signal, a UE may determine its own location coordinates. Then, using the location coordinates, the UE may select a beam using a set of parameters associated, in a table, with the location coordinates. The UE may then use the selected beam to carry out an initial access procedure with the non-terrestrial transmit-receive point.

Abstract: Some aspects of the present disclosure enable a network to account for impacts of digital transmit and receive precoding at the user equipment (UE) side in the presence of UE self-interference that may occur during full duplex (FD) operation. Some aspects of the present disclosure include joint downlink (DL) node selection or beam selection, or both, and UE self-interference emulation, so that the UE is enabled with FD operation that includes receiving from one node, but transmitting towards another node. When compared with the case where the UE receives from, and transmits, to a same node, because when two separate nodes are involved and the two nodes are more physically separated, the chance of achieving higher cross-link isolation, and hence FD transmission, is higher.

Abstract: Aspects of the present application provide methods and device for use in User Equipment (UE) cooperation. UE cooperation may include the cooperating UEs (CUEs) forwarding traffic to or from one or more target UEs (TUEs) with redundant signal transmissions or receptions. Methods involve a base station transmitting configuration information to at least one cooperative user equipment (CUE) and to a target user equipment (TUE). The configuration information includes an indication of resources for a sidelink (SL) transmission and a redundancy parameter for the SL transmission. The SL transmission is a transmission for the at least one CUE to forward a packet intended for the TUE. The base station also transmits the packet intended for the TUE, to a plurality of UEs comprising the at least one CUE and the TUE.

Abstract: Methods and systems for two-dimensional (2D) coding are described for broadcast, multicast or groupcast applications. Two or more information code blocks (CBs) are transmitted to a plurality of intended receiving nodes. One or more cross-CB check blocks are generated, each cross-CB check block being generated based on a set of cross-CB bits, the set of cross-CB bits including at least one bit selected from each of at least two of the information CBs. At least one cross-CB check block is transmitted to at least one of the intended receiving nodes.

Abstract: Methods and devices utilizing artificial intelligence (AI) or machine learning (ML) for customization of a device specific air interface configuration in a wireless communication network are provided. An over the air information exchange to facilitate the training of one or more AI/ML modules involves the exchange of AI/ML capability information identifying whether a device supports AI/ML for optimization of the air interface.

Abstract: This application provides example communication methods and a related apparatuses. An example communication method may be used for a first processing entity of a first communication device. The example method includes the first processing entity sending a first registration request to a second entity, where the first registration request includes a first identifier which indicates one or more of the following information of the first processing entity: model information or data information. A model parameter of the second entity can be adjusted based on a real-time environment parameter. The first processing entity receives a first registration response sent by the second entity, where the first registration response indicates an input parameter of the second entity. The first processing entity sends a first response acknowledgment, where the first response acknowledgment indicates whether an output parameter of the first processing entity matches the input parameter of the second entity.

Abstract: Systems and methods of reporting wireless channel state information are provided. With the provided system and method, in a situation where there are multiple UEs which are close to each other, such that channel conditions may be similar for the multiple UEs, one of the UEs is configured to report interference information on a time pattern that has at least two measurement time durations for which interference is to be measured, for example, only for a subset of N consecutive measurement time durations. Other UEs may be configured to report interference information for different time patterns, for example different subsets of the N time slots.

Abstract: Systems and methods for configuring semi-persistent scheduling (SPS) transmission are disclosed. An example method performed by a wireless device includes: transmitting, to a user equipment, a radio resource control (RRC) signal comprising a time and frequency configuration for semi-persistent scheduling (SPS); and transmitting, to the user equipment, an information block via a physical downlink shared channel (PDSCH) configured based on the time and frequency configuration for SPS, the information block comprising signaling indicating at least one of: a modulation and coding scheme (MCS) for a subsequent transmission, a transmit power control command (TPC) for physical uplink control channel (PUCCH), PDSCH-to-HARQ feedback timing indicator, and PUCCH resource indicator.

Abstract: An L1 setup procedure is provided that can be used in place of RRC setup. The new L1 setup can achieve the same functionality as the current RRC setup, but setup data is exchanged between a BS and UE only in L1. This setup data can include for example, parameters for radio bearer configuration and parameters for master cell group configuration, cell selection configuration, cell reselection configuration, or measurement configuration. A two stage DCI, together with a scheduled physical downlink shared channel (PDSCH) resource may be used for L1 setup, in which the second stage of the two stage DCI indicates that the scheduled PDSCH resource contains L1 data for L1 setup.

Abstract: In accordance with implementations, a device determines an AI/ML model training capability of the device. The AI/ML model training capability indicates a capability of the device to contributively participate in an AI/ML model training process with at least a second device in a wireless communication network. The AI/ML model training capability is determined based on at least one of a current processing capability of the device, a current volume of training data available for the AI/ML model training process at the device, or a sensing capacity of the device to collect the training data for the AI/ML model training process. The device then transmits the AI/ML model training capability to the second device.