Abstract: Systems and methods are disclosed herein for transmitting a mixture of critical and non-critical data in a wireless network. In some embodiments, a method performed by a wireless device comprises receiving a configured uplink grant that allocates uplink resources in a plurality of transmission time intervals and determining, at a time tarrival, that critical data is to be transmitted using the configured uplink grant, where a time tarrival+PT occurs after a start of a particular transmission time interval and where PT is a preparation time needed to prepare an uplink transmission on the configured uplink grant. The method further comprises transmitting an uplink transmission comprising the critical data using allocated uplink resources in the particular transmission time interval starting at a time that is at or after the time tarrival+PT. Corresponding embodiments of a wireless device are also disclosed.

Abstract: Systems and methods are disclosed herein for transmitting a mixture of critical and non-critical data in a wireless network. In some embodiments, a method performed by a wireless device comprises receiving a configured uplink grant that allocates uplink resources in a plurality of transmission time intervals and determining, at a time tarrival, that critical data is to be transmitted using the configured uplink grant, where a time tarrival+PT occurs after a start of a particular transmission time interval and where PT is a preparation time needed to prepare an uplink transmission on the configured uplink grant. The method further comprises transmitting an uplink transmission comprising the critical data using allocated uplink resources in the particular transmission time interval starting at a time that is at or after the time tarrival+PT. Corresponding embodiments of a wireless device are also disclosed.

Abstract: A computer-implemented method for acquiring new data samples and for maintaining a set of data samples in a database, wherein the set of data samples are configured to form input to a function associated with a predictive performance, the method including obtaining at least one relevance metric (M), where the relevance metric is indicative of an increase in the predictive performance of the function when using a data sample as input together with the set of data samples compared to when not using the data sample, obtaining a relevance criterion (C), where the relevance criterion identifies relevant data samples in a set of data samples based on the at least one relevance metric, signaling the at least one relevance metric (M) and the relevance criterion (C) to a data collecting network node.

Abstract: A method 1200 performed by a wireless device 110 includes receiving 1202 a cancellation indicator (CI) cancelling a transmission of data associated with a configured grant (CG) in a first transmission occasion. The wireless device 110 transmits the data associated with the CG in a second transmission occasion of the CG.

Abstract: Methods and nodes in a communications network for using a machine learning model that has been trained using training data from a first radio environment, in a second radio environment, wherein the machine learning model takes a first set of features as input and outputs a label based on a first labelling scheme, the first labelling scheme having been determined for the first radio environment. A method comprises obtaining (402) a dataset in the second radio environment comprising a plurality of data points comprising values of the first set of features, labelling (404) each data point in the dataset using the first labelling scheme, and determining (406) from the labelled dataset whether the first labelling scheme is suitable for use in the second radio environment.

Abstract: A wireless device (11, 12) determines a set of carriers. The carriers each require a listen-before-talk, LBT, procedure before transmitting on the carrier. Further, the wireless device (11, 12) determines a reliability target for a wireless transmission from the wireless device (11, 12) to the wireless communication network, in particular to an access node (101-1, 101-2, 101-3, 101-4) of the wireless communication network. Depending on the reliability target, the wireless device (11, 12) controls aggregation of carriers from the set for redundantly 10 performing the wireless transmission on the aggregated carriers.

Abstract: A technique for determining segmentation parameters for use in segmenting Radio Link Control, RLC, Protocol Data Units, PDUs, in an RLC preprocessing procedure performed by a User Equipment, UE, prior to receiving an Uplink, UL, grant for transmission of the RLC PDUs is disclosed, wherein the segmentation parameters comprise a size of RLC PDU segments and a number of RLC PDU segments to be included into a physical layer Transport Block, TB.

Abstract: A method by a wireless device (110) includes determining that the wireless device has data to transmit on at least one logical channel of a priority N. The logical channel is associated with at least one logical channel group. The method further includes generating, by the wireless device, a buffer status report of type N, BSR N, for the at least one logical channel of the priority N and prioritizing a transmission of the BSR N for the at least one logical channel of priority N over a data transmission for at least one other logical channel that has a priority that is higher than the priority N.

Abstract: A method performed by a network node for a wireless telecommunications network performs operations including providing a resource allocation model that corresponds to a base station and that provides a recommendation regarding resource allocation for a user equipment, UE, that is in an operating zone of the base station during a limited resource condition of the base station. Operations may include identifying, based on the resource allocation model, a reduced priority zone in the operating zone of the base station that corresponds to the UE having a high risk of reduced service from the base station relative to other UEs in the operating range of the base station.

Abstract: Systems and methods for uplink cancellation are provided. In some embodiments, a method performed by a wireless device for performing uplink cancellation includes receiving an indication to stop a transmission; and receiving an indication to transmit on cancelled uplink resources. In some embodiments, in response to receiving the indication to stop the transmission, performing one of: cancelling the transmission; and muting the transmission. In this way, the New Radio (NR) Uplink (UL) cancellation mechanism can be enabled on NR-Unlicensed (NR-U) resources and helps to cater Ultra-Reliable and Low Latency Communication (URLLC) services.

Abstract: Handling overlapping of multiple physical uplink shared channels (a combination of one or more PUSCHs and PUCCHs) is disclosed herein. In one embodiment, a method performed by a wireless device for handling an overlapping group of transmissions with differing transmission priorities comprises determining that at least one grant-specific uplink (UL) resource of multiple grant-specific UL resources overlaps with two other grant-specific UL resources of the plurality of grant-specific UL resources. The method further comprises dividing overlapping grant-specific UL resources of the multiple grant-specific UL resources into a plurality of groups such that each group of the plurality of groups only contains grant-specific UL resources that are non-overlapping. The method also comprises identifying, from the plurality of groups, a group that contains a grant-specific UL resource having a highest transmission priority.

Abstract: In a method in a user equipment, UE, in a communications network, of determining whether to perform a handover procedure from a first network node to a second network node, a location of the UE is provided as input to a model stored on the UE, the model having been trained using a machine learning process to predict conditions on the second network node in the communications network based on the location of the UE. A prediction of conditions on the second network node at the provided location of the UE is provided by the model. The received predicted conditions are then used to determine whether to perform a handover procedure.

Abstract: Systems and methods are disclosed herein for enhanced feedback for cascaded federated machine learning (ML). In one embodiment, a method of operation of a server comprises, for a training epoch, receiving, from each of client device, information including a local ML model as trained at the client device and an estimated value of each parameter output by the local ML model. The method further comprises aggregating the local ML models to provide a global ML model and training a network ML model based on the estimated values of each of the parameters output by the local ML models and global data available at the server. The method further comprises providing, to each client device, information including the global ML model and feedback information related to a hidden neural network layer of the network ML model. The method further comprises repeating the process for one or more additional training epochs.

Abstract: A method performed by a network computing device in a telecommunications network for adaptively deploying an aggregated machine learning model and an output parameter in the telecommunications network to control an operation in the telecommunications network. The network computing device can aggregate client machine learning models and an output performance metric the client machine learning models to obtain an aggregated machine learning model and an aggregated output performance metric. The network computing device can train a network machine learning model with the aggregated output performance metric and at least one measurement of a network parameter to obtain an output parameter. The network computing device can send to the client computing devices the aggregated machine learning model and the output parameter of the network machine learning model. A method performed by a client computing device is also provided.

Abstract: Methods and apparatus are provided. In an example aspect, a method performed by a wireless device is provided. The method includes initiating a procedure to determine whether a channel in unlicensed spectrum for transmission of data to a base station using unlicensed spectrum is occupied, and before completion of the procedure, transmitting a scheduling request to the base station, the scheduling request for transmission of the data to the base station using licensed spectrum.

Abstract: A method performed by a wireless device comprises receiving (700) a first grant that allocates first radio resources for use by the wireless device and a second grant that allocates second radio resources for use by the wireless device, where the first radio resources partially overlap in time with the second radio resources. The method further comprises splitting (710) the first grant into a first non-overlapping grant and a first overlapping grant, where the first non-overlapping grant allocates a portion of the first radio resources which do not overlap in time with the second radio resources and the first overlapping grant allocates another portion of the first radio resources which overlap in time with the second radio resources.

Abstract: A method by a wireless device includes receiving a new grant for sending information. The new grant is associated with at least one transmission resource overlapping with at least one resource of a previous grant. The wireless device determines a highest priority between a priority of the new grant and a priority of the previous grant. The priority of the new grant is determined based on at least one of: one or more logical channels (LCHs) associated with the new grant and one or more medium access control-control element (MAC CEs,) mapped into the new grant. The priority of the previous grant is determined based on at least one of: one or more LCHs mapped into the previous grant and one or more MAC CEs mapped into the previous grant. The wireless device determines to use the at least one transmission resource for the one of the new grant and the previous grant having the highest priority.

Abstract: A method of and a network function arranged for enabling data exchange between a first communication network having first data communication capabilities, such as a 5G network, and a second communication network, such as a TSN, having second data communication capabilities different from the first data communication capabilities. Communication attributes of corresponding first and second data communication capabilities are mapped (41). Communication capabilities available in the first communication network are allocated (42) for use by the second communication network, and the allocated data communication capabilities are advertised (43) to the second communication network, represented in accordance with the attributes mapping (41).

Abstract: Embodiments include methods for a network node in a wireless network to manage network resources. Such methods include mapping one or more application-level performance requirements to one or more network performance requirements. The mapping can be based on a Markov chain model and the application-level performance requirements can be associated with an application hosted by one or more user equipment (UEs) served by the wireless network. Such methods include, based on the network performance requirements, configuring at least one of the following for data transmission and/or reception associated with the application: the one or more UEs, and respective serving cells for the one or more UEs. Other embodiments include operations such as mapping one or more network performance parameters to one or more application-level performance metrics based on a Markov chain model, and monitoring whether the application-level performance metrics fulfill corresponding application-level performance requirements.

Abstract: Apparatuses and methods are disclosed for preemption priority level for Uplink Control Information (UCI) and/or Physical Uplink Shared Channel (PUSCH) conflict resolution. In one embodiment, a method implemented in a network node includes indicating to a wireless device (WD) a priority associated with at least one uplink (UL) channel; and receiving at least one UL signal based at least in part on the indicated priority. In another embodiment, a method implemented in a WD includes determining a priority associated with at least one of at least two uplink (UL) channels; and resolving a conflict between the at least two uplink channels based at least in part on the determined priority.