Abstract: Methods and apparatus for multicast services are provided. In a method a resource message is received on a control channel indicating a first search space type and assistance information for the first search space type. It is determined based on the assistance information that a second search space type is to be applied for monitoring of a multicast search space. Monitoring of the multicast search space can be provided according to the second search space type.

Abstract: Disclosed are methods and apparatus for multiplexing NACK-only HARQ feedback. A terminal device in a communication network may comprise at least one processor and at least one memory having computer program code stored thereon. The at least one memory and the computer program code may be configured, with the at least one processor, cause the terminal device to perform: receiving, from a network device, one or more uplink control channel configurations for transmitting HARQ feedback for multicast transmission of one or more services; receiving, from the network device, the multicast transmissions of the one or more services; converting HARQ feedback bits of the HARQ feedback for the multicast transmissions of the one or more services; multiplexing the converted HARQ feedback bits into a multiplexed HARQ feedback; selecting a physical uplink control channel (PUCCH) resource for transmission of the multiplexed HARQ feedback; and transmitting the multiplexed HARQ feedback using the selected PUCCH resource.

Abstract: Apparatuses and methods are provided to enable a receiver device monitoring a control channel configured for carrying information indicating transmission types of point-to-multipoint services detect a point-to-multipoint service of interest. The device can further detect an indication of a transmission type associated with the point-to-multipoint service of interest. In response a request can be sent for a configuration enabling reception of the indicated transmission type of the point-to-multipoint service of interest on a point-to-multipoint traffic channel. In the absence of said further detecting, the device can refrain from sending the request for the configuration for reception of the transmission type of the point-to-multipoint service.

Abstract: Example embodiments of the present disclosure relate to configuration and interpretation of control information for a retransmission. A first device receives control information from a second device. In accordance with a determination that the control information indicates a retransmission to be scheduled from the second device. the first device determines an information combination of at least one of the following: at least one field of the control information, a search space in which the control information is received. and a format of the control information. The first device further determines a source traffic type of the retransmission based on the information combination, the source traffic type of the retransmission indicating whether the retransmission is for traffic in a point-to-multipoint initial transmission or in a point-to-point initial transmission.

Abstract: Disclosed are methods for power control on negative acknowledgement transmission.

Abstract: A method performing by an apparatus, including: receiving (501), from a network entity or transmitting to a user device, one or more feature set lists each including a plurality of feature sets possibly in a priority order or rank order associated with the apparatus or the user device, wherein the one or more feature set lists are based on at least one of the following: one or more bandwidth parts configured for the apparatus or the user device, one or more bandwidth capabilities of the apparatus or the user device, or one or more radio environment scenarios; and classifying or selecting channel measurements of the one or more received signals per measurement by the apparatus or by the user device, to estimate a likelihood of a propagation condition classification including one of: line-of-sight (LOS), non-line-of-sight (NLOS) and obstructed line-of-sight, based on the feature sets to determine positioning of the apparatus or the user device.

Abstract: Example embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media for enhancement of HARQ feedback. The method comprises: upon receipt of data of at least one of a group of services from a second device, generating, at a first device, a Hybrid Automatic Repeat Request acknowledgement (HARQ-ACK) codebook comprising HARQ feedback and identification information for the at least one service, the group of services comprising at least one of multicast and broadcast services (MBSs) and unicast services; and transmitting the HARQ-ACK codebook to the second device. In this way, retransmissions of unicast and multicast services can be accurately scheduled in time, and unnecessary retransmissions can be avoided. In addition, the spectral efficiency and packet loss rate of the communication system can be improved.

Abstract: Example embodiments of the present disclosure relate to polling a device for multicast broadcast service interest indication. A first device receives, from a second device, a physical downlink control channel (PDCCH) order addressed by a paging radio network temporary identifier for the first device. The PDCCH order comprises a request for an indication that at least one multicast broadcast service is to be received by the first device. The first device transmits, to the second device, a random access preamble associated with the at least one multicast broadcast service as a response to the request. Through this solution, the first device that monitors the single PDCCH order may have less power consumption.

Abstract: Systems, methods, apparatuses, and computer program products for common frequency resource, control resource set configurations, and common frequency resource switching. The method may include receiving, from a network element, a configuration for monitoring at least one broadcast services on a communication resource. The method may also include monitoring the at least one broadcast service on the communication resource based on the configuration. According to certain example embodiments, the communication resource may be a subset of an initial bandwidth part, or the communication resource may include an initial bandwidth part as a subset of the communication resource.

Abstract: An apparatus comprising at least one processor and at least one memory including computer code for one or more programs, the at least one memory and the computer code configured, with the at least one processor, to cause the apparatus at least to: receive a message from at least one user equipment requesting to join a multicasting/broadcasting group; receive data for multicasting/broadcasting from a data network; generate multicasting/broadcasting session information for the data; route the data based on the multicasting/broadcasting session to at least one access point, wherein the access point wirelessly communicates the data to user equipment based on the multicasting/broadcasting session information.

Abstract: A method comprising: determining at a first device a requirement for a spatial distribution associated with training samples for a machine learning model, wherein the machine learning model is used in solving a positioning task; performing at least one of: transmitting, to the second device, information indicating the requirement for training the machine learning model, or training the machine learning model by using a training dataset comprising training samples satisfying the requirement.

Abstract: Systems, methods, apparatuses, and computer program products for a framework for handling the appropriately configured positioning measurement reports for use by a network element without requiring knowledge of vendor-specific or proprietary information are provided. For example, a method may include receiving from a network node, a message including a code configuration to configure collected samples measurements for reporting. The method may also include generating a code from the collected samples measurements in a predefined format according to the code configuration. The method may further include reporting the generated code to the network node.

Abstract: Systems, methods, apparatuses, and computer program products for machine learning based channel state information (CSI) estimation and feedback configuration are provided. A method may include learning channel state information feedback from one or more user equipment as time series data. The method may also include building a predictive model for user equipment feedback based on the learned channel state information feedback. The method may further include configuring a channel state information trigger with the one or more user equipment based on the predictive model. In addition, the method may include signaling predicted channel state information to the one or more user equipment.

Abstract: Example embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media for semi-static scheduling of multicast broadcast service traffic. In example embodiments, at least one of enabling, disabling or modification of a semi-persistent scheduling configuration is determined for a group of devices on a bandwidth part for multicast broadcast service traffic. The at least one of enabling, disabling or modification of the semi-persistent scheduling configuration is indicated to the group of devices.

Abstract: A user equipment transmits a request to configure a first network to transmit complementary content associated with multicast or broadcast content received at the user equipment from a second network. In some cases, the request is transmitted in response to the user equipment detecting that a quality of a signal received from the second network is below a threshold. In response to receiving the request, the first network is configured to transmit the complementary content. The complementary content is transmitted from the first network concurrently with transmitting the multicast or broadcast content from the second network. The user equipment combines the complementary content received from the first network with the multicast or broadcast content received from the second network.

Abstract: Example embodiments of the present disclosure relate to semi-static HARQ-ACK codebook construction for frequency-multiplexed DL data transmission. A first device includes at least one processor; and at least one memory including computer program codes; wherein the at least one memory and the computer program codes are configured to, with the at least one processor, cause the first device to: receive downlink configuration information from a second device, receive at least two frequency-multiplexed downlink transmissions at one downlink data transmission occasion, and set, based on the downlink configuration information and an error state of the frequency-multiplexed downlink data transmissions, an acknowledgment indication in a semi-static HARQ-ACK codebook to be transmitted to the second device for the downlink data transmission occasion.

Abstract: This disclosure presents methods and processes to allow a user equipment (UE) to map a hybrid automatic retransmission request-acknowledgement (HARQ-ACK) feedback to one or more HARQ-ACK sub-codebooks for received services. The one or more HARQ-ACK sub-codebooks can be concatenated into one HARQ-ACK codebook and then communicated to a communication node, when those services use a HARQ-ACK feedback that is scheduled for the same time instance. Various methods can be used for the concatenation order depending on the number of multicast and broadcast services (MBS) for which HARQ feedback is to be provided, and depending on whether HARQ-ACK feedback is to be sent for unicast services at the scheduled time instance. The concatenation order can utilize an increasing order or a decreasing order of the concatenation order parameters.

Abstract: A method may include receiving, by a first user device from a network node or a second user device, 1) a positioning measurement report including at least one positioning measurement measured by a reference device, and 2) reference positioning-related information to be used for testing and/or validating a machine learning model; determining estimated positioning-related information as outputs of the machine learning model based on at least a portion of the positioning measurement report as inputs to the machine learning model; determining a performance indication of the machine learning model based on the reference positioning-related information and the estimated positioning-related information, wherein the performance indication indicates a performance or accuracy of the machine learning model; and performing, by the first user device, an action based on the performance indication.

Abstract: Certain example embodiments provide systems, methods, apparatuses, and computer program products for determining radio frequency (RF) conditions using sensing information. A network node may construct a map of RF conditions associated with location information within its coverage area. The network node may configure a radio resource control (RRC)-connected UE to operate in an RF sensing mode. The network node may obtain a positioning of the UE from a sensing node. The network node may determine the RF conditions of the UE based on its position using the map.

Abstract: A method includes receiving, by a first user device in a wireless network, an indication of availability of a pre-trained model that estimates a channel between a second user device and a network node; receiving, by the first user device, information relating to the pre-trained model; determining, by the first user device, channel estimation information based at least on the information relating to the pre-trained model; and performing at least one of the following: transmitting, by the first user device, a report to the network node including the channel estimation information; or receiving data, by the first user device from the network node, based on the channel estimation information.