Abstract: The described technology is generally directed towards network resource allocation for energy constrained devices. Energy constrained devices can use shortened discontinuous reception (DRX) intervals to reduce their energy consumption. In order to provide adequate quality of service (QoS) to energy constrained devices using shortened DRX intervals, a network controller can use the disclosed techniques to greedily allocate available transmission time slots to devices using shortened DRX intervals. The network controller can also apply the disclosed techniques to balance demands of other devices by allocating some transmission time slots to the other devices.

Abstract: The technology described herein is directed towards cooperative configured grant with respect to the configured grant timeslots of multiple cells, particularly for ultra-reliable low latency communications (URLLC) devices configured for packet data convergence protocol (PDCP) for duplicate packet communications. Selection of slots is delay aware with respect to PDCP communications. By selecting a first serving cell's configured grant physical resource block (PRB) time slots in a timing alignment with a second cell's configured grant PRB time slots, end-to-end PDCP delay is reduced for duplicate communications between a user equipment communicating with the first cell and the second cell for PDCP duplication. Multiple UEs can be prioritized based on their current condition data with respect to slot assignment. Also described is a controller proposing a different configuration of configured grant slots, which the controller can then use if accepted by the deciding entity.

Abstract: The technology described herein is directed towards skipping handover, particularly for ultra-reliable low latency communications (URLLC) devices, based on uplink conditions and other conditions such as control channel capacity and uplink channel performance (e.g., efficiency-related data. In one aspect, a controller monitors UEs, such as URLLC devices, and for each UE evaluates serving cell and neighbor cell data conditions. Based on the conditions, the controller decides whether to allow handover or skip handover. In another aspect, a UE is provided with conditional handover criteria, and the UE skips or starts a handover based on UE state data monitored at the UE with respect to the conditional handover criteria. In another aspect, machine learning can model the relation between the performance data used for handover skip decisions with respect to signal strength data to determine very optimal thresholds for handover skip decisions.

Abstract: A network node configured to communicate with a wireless device (WD) utilizing at least one of a first Radio Access Technology (RAT) and a second RAT is provided. The network node includes processing circuitry configured to determine a rate matching configuration from a plurality of rate matching configurations for communication with the WD and cause the network node to transmit an indication of the determined rate matching configuration to the WD and to use the determined rate matching configuration in at least another transmission towards the WD.

Abstract: Generally provided is a radio system that can comprise a lower-level controller, of a radio network, that is responsive to and provided at a level of hierarchy lower than an upper-level controller of the radio network, and the upper-level controller that generates a cell-level prediction of an anomaly at a first cell of a radio network based on cell-level data determined by the lower-level controller, wherein the upper-level controller generates a global prediction, based on the cell-level prediction, of propagation of the anomaly to a second cell of the radio network. The upper-level controller can generate the global prediction based on cross correlation of a first metric value, of the cell-level data, measured according to a defined metric, from the first cell and a second metric value, measured according to the defined metric, from the second cell of the radio network.

Abstract: Generally provided is a radio system that can comprise an upper-level controller that analyzes data comprising first data from a radio network source and second data from an external source that is disposed external to the radio network, and a lower-level controller that is responsive to and provided at a lower level of hierarchy of the radio network than the upper-level controller, where the lower-level controller identifies the first data from the radio network source, and where the upper-level controller classifies, based on the analysis, whether an anomaly, determined to be occurring in a radio network comprising the radio system, is caused by the radio network. The upper-level controller can correlate the first data from the radio network source and the second data from the external source to metrics defining the anomaly.

Abstract: A first network node configured to communicate with a second network node and a wireless device (WD) is provided. The first network node comprises processing circuitry configured to determine a cross-carrier scheduling based at least in part on a current load on the first network node. In addition, a signaling is determined based on the determined cross-carrier scheduling. The signaling includes at least a control signal transmitted at least to the WD by the second network node and uplink (UL) data transmitted by the WD to the first network node in response to the control signal. A method implemented in the first network node is provided. A second network node, a WD, and corresponding methods are also provided.

Abstract: A first network node configured to communicate with a second network node and a wireless device, WD, is described. The first network node includes processing circuitry configured to determine a link profile of a communication link between the first network node and the second network node and determine a set of time offset values. Each time offset value indicates a time delay between a downlink transmission from the second network node and a corresponding uplink transmission from the WD to the first network node. The set of time offset values are determined based at least in part on the link profile.

Abstract: A system can determine a first group of near-real time radio access network intelligent controllers (nRT-RICs) that satisfy a performance capability criterion. The system can determine, from the first group of nRT-RICs, a second group of nRT-RICs that satisfy a dissimilarity criterion, wherein the selected nRT-RICs are selected for a current round of federated learning of a machine learning model. The system can instruct the second group of nRT-RICs to perform federated learning of the machine learning model on respective second datasets. The system can, based on receiving respective indications of the respective local machine learning models, generate a global machine learning model. The system can send an indication of the global machine learning model to the nRT-RICs, wherein the nRT-RICs are configured to use the global machine learning model to predict a network performance metric of the open radio access network.

Abstract: A method and network node for multi-user multiple input multiple output (MU-MIMO) dynamic spectrum sharing are disclosed. According to one aspect, a method implemented in a network node may include determining a spectral efficiency of each of the RATs based at least in part on multi-user multiple input multiple output, MU-MIMO capabilities of at least a second network node and wireless devices, WD, using a corresponding RAT. The method may also include splitting the spectrum to be shared among the RATs based at least in part on the determined spectral efficiency of each RAT.

Abstract: Technology described herein can employ dynamically changing network variables and/or context, in realtime, to determine one or more possible contexts that can lead to network function (NF) misconfiguration, NF mismatch and/or key performance indicator (KPI) degradation. In an embodiment, an example system can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising determining a working configuration of a network function, and detecting a misconfiguration between a specified configuration and the working configuration of the network function, wherein the detecting is based on a context known to be associated with the misconfiguration. Analysis of context can comprise analyzing, based on an artificial intelligence model, the contexts of the network function as compared to known and/or stored contexts.

Abstract: Technology described herein can employ dynamically changing network variables and/or user entity priorities to determine admission of one or more user entities to the network. In an embodiment, a system can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise analyzing resource allocation for a quality of service flow. The operations further can comprise, based on a result of the analyzing the resource allocation, determining a threshold for quality of service for user equipment at the quality of service flow, and determining a connection decision for a user equipment based on a comparison of a quality of service prediction of a quality of service level for the user equipment to the threshold.

Abstract: The described technology is generally directed towards location selection for disaggregated radio access network (RAN) network functions. Disaggregated RAN network functions include, for example, RAN distributed units (DUs) and RAN central units (CUs) that are associated with RAN cells and RAN radio units (RUs). When multiple viable equipment locations are available, of equipment that can host DUs and/or CUs, the disclosed techniques can be used to select preferred location(s). The DU(s) and/or the CU(s) can be moved to equipment at the selected location(s) to improve network performance. Disclosed techniques can account for inter-cell delay requirements of different RAN cells, to place network functions in a manner that supports effective coordination between multiple cells.

Abstract: A method and apparatus are disclosed for non-collocated SCell selection for NR CA. In one embodiment, a network node is configured to estimate a first throughput for the WD at a first candidate secondary cell, the estimated first throughput being based on a measured inter-network node delay between the network node and a first network node supporting the first candidate secondary cell, the network node supporting a primary cell; and determine whether to select the first candidate secondary cell for the WD based on the first estimated throughput. In another embodiment, a network node is configured to determine an average amount of time resources associated with a Hybrid Automatic Repeat reQuest, HARQ, process exhaustion experienced by WDs connected to the first candidate secondary cell and primary cells with an inter-network node delay, d; and report the average amount.

Abstract: A radio access network includes first and second hardware systems. The first hardware system instantiates a radio unit (RU) controller of the radio access network. The second hardware system instantiates a RU of the radio access network. The RU includes a plurality of data modules, each configured to provide a logging function for the RU. The RU controller provides a list of access control groups (ACGs) to the RU, each ACG associating an operator on the radio access network with at least one of the data modules. The RU arranges the data modules into logging modules, each logging module associated with a particular ACG, the RU being configured to restrict access to the data modules based upon the logging modules.

Abstract: The described technology is generally directed towards multi-band spectrum allocation for cellular networks. A first radio frequency band can be allocated for dedicated use at a first cellular communication network, while a second radio frequency band can be allocated for shared use via the first cellular communication network and a second cellular communication network. The first cellular communication network can comprise a private network, while the second cellular communication network can comprise a public network. In order to select the first and second radio frequency bands, multiple radio frequency bands can be evaluated for carrier characteristics such as quality of service and coverage area.

Abstract: The described technology is generally directed towards cellular network tuning using secondary system feedback. Network equipment can monitor both network performance and secondary system feedback indicative of secondary equipment performance. The secondary equipment can comprise customer manufacturing, processing, or other equipment. The secondary equipment performance can be correlated with network performance such as by correlating secondary equipment performance degradations with degradations of one or more network performance indicators. Network parameters can be adjusted in view of the observed correlation, to produce performance improvements of the secondary equipment.

Abstract: The described technology is generally directed towards secondary cell group selection in the context of a dual connectivity based approach to providing cellular service via private cellular networks. In a dual connectivity arrangement, network traffic can be transported via a master cell group (MCG) provided by a private cellular network, and the network traffic can alternatively be transported via a secondary cell group (SCG) provided by a public cellular network. Network equipment can use the techniques disclosed herein to select an SCG from among candidate SCGs, where the candidate SCGs use different frequency bands having different complementary characteristics with respect to the MCG.

Abstract: The described technology is generally directed towards interference avoidance for cellular networks. A controller can estimate intercell interference and provide recommendations of preferred time slots that can be used by cell schedulers to avoid intercell interference. The controller can leverage sporadic traffic of neighboring cells by identifying time slots at which traffic demand likely to result in intercell interference. The controller can then guide schedulers at cells to send data in a manner that mitigates intercell interference.

Abstract: The described technology is generally directed towards time division duplex (TDD) pattern configuration for cellular networks. Example methods can calculate TDD pattern configurations for use in 5G and subsequent generation networks. TDD pattern configurations can be calculated based on traffic demand, which can be estimated based on data channel demands, control channel requirements, user equipment (UE) capabilities, UE radio frequency (RF) conditions, and/or target quality of service (QoS) levels. Time offsets between downlink (DL) and uplink (UL) transmissions can be adjusted to meet service latency requirements and hardware limitations. Cells can opportunistically adopt different TDD patterns according to their individual traffic demands using semi-static and dynamic TDD pattern reconfiguration.