Abstract: A system described herein may maintain a set of Quality of Service (“QoS”) parameters associated with a particular User Equipment (“UE”). The system may provide the set of QoS parameters to a policy element of a wireless network, wherein the wireless network establishes a first dedicated bearer with the particular UE, which may be associated with the set of QoS parameters. The system may receive, after the first dedicated bearer is established, information indicating an occurrence of a particular event associated with the particular UE, and may output, to a policy element of the wireless network, a request to establish a second dedicated bearer with the particular UE. The wireless network may establish the second dedicated bearer with the particular UE, which may be associated with the set of QoS parameters.

Abstract: Techniques for improved software management in information processing systems are disclosed. For example, an apparatus comprises at least one processing platform comprising at least one processor coupled to at least one memory. The processing platform is configured to obtain a first data set indicative of a first version of a software package and a second data set indicative of a second version of the software package. The processing platform is further configured to perform a semantic comparison of at least a portion of the first data set with at least a portion of the second data set to compute a difference between the first version of the software package and the second version of the software package.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, one or more control channel symbols in a subframe. The UE may activate a sleep mode for the subframe irrespective of a control channel decoding result associated with the one or more control channel symbols, wherein the control channel decoding result is associated with a presence or an absence of a downlink shared channel grant. Numerous other aspects are described.

Abstract: Disclosed is a method, implemented in a Visual See Through (VST) device, for interpreting user gestures in multi-reality scenarios. The method includes identifying one or more camera view zones based on fields of view of one or more cameras, determining one or more contexts based on an analysis of each of the one or more camera view zones, classifying the one or more camera view zones for each of the determined one or more contexts, and recognizing a user gesture as an input based on the classified one or more camera view zones.

Abstract: A system may receive registration information regarding a user equipment (UE). The system may determine a UE usage type for the UE from a plurality of UE usage types. The plurality of UE usage types includes a first UE usage type associated with accessing first services using a cloud domain name system (DNS) and a second UE usage type associated with accessing second services using an edge DNS. The system may receive a notification indicating that the UE is requesting access to a service and identify an edge device for providing access to the service. The system may obtain information identifying the UE usage type of the UE based on UE identification information of the UE. The system may provide, to the UE, DNS information regarding using the cloud DNS or the edge DNS to obtain a network address of the edge device.

Abstract: The described technology is generally directed towards citizens' broadband radio service (CBRS) channel selection for cellular communication networks in a manner that reduces the risk of CBRS channel revocation due to incumbent activity within a dynamic protection area. A data store can be maintained that includes dynamic protection area location information as well as historic incumbent CBRS channel use information. When selecting a CBRS channel for a radio access network (RAN) node, the position of the RAN node can be considered to determine if the RAN node is in or near a dynamic protection area. If so, the data store can be consulted to avoid selecting CBRS channels that have historically been subject to revocation in the dynamic protection area.

Abstract: The described technology is generally directed towards policy-based citizens broadband radio service (CBRS) channel selection in a cellular communication network. A selection policy can be applied to select CBRS channels for radio access network (RAN) nodes. The selection policy can include performance indicator thresholds, and a CBRS channel can be selected for use at a RAN node when performance indicator measurement values for the CBRS channel satisfy the performance indicator thresholds. The selection policy can be dynamic by applying different performance indicator thresholds under different circumstances such as different traffic conditions experienced at the RAN node.

Abstract: A system described herein may monitor, via a Central Unit (“CU”) of a radio access network (“RAN”), radio frequency (“RF”) metrics associated with a User Equipment (“UE”). The monitored RF metrics may be based on communications between the UE and a Distributed Unit (“DU”) that is communicatively coupled to the CU. The system may identify a Multi-Access/Mobile Edge Computing (“MEC”) device that is communicatively coupled to the DU and that provides one or more services to the UE via the DU. The system may resource allocation parameters for the MEC based on the RF metrics between the UE and the DU. The system may instruct the MEC to implement the set of resource allocation parameters. The MEC may modify an allocation of MEC resources, allocated for providing the one or more services to the UE, based on the determined set of resource allocation parameters.

Abstract: A radio node that selectively performs a remedial action is described. During operation, the radio node detects a potential change in a location of the radio node relative to a predefined location. For example, the radio node may detect the potential change in the location based at least in part on a change in a network parameter of the radio node and/or by performing a scan of wireless signals in an environment of the radio node. Then, in response to detecting the potential change in the location, the radio node determines the location of the radio node (e.g., by using a positioning system). When there is at least a predefined change in the location of the radio node relative to the predefined location, the radio node selectively performs the remedial action. Notably, the remedial action may include: providing an alert or a notification, discontinuing transmissions, or re-register the radio node.

Abstract: A system may receive registration information regarding a user equipment (UE). The system may determine a UE usage type for the UE from a plurality of UE usage types. The plurality of UE usage types includes a first UE usage type associated with accessing first services using a cloud domain name system (DNS) and a second UE usage type associated with accessing second services using an edge DNS. The system may receive a notification indicating that the UE is requesting access to a service and identify an edge device for providing access to the service. The system may obtain information identifying the UE usage type of the UE based on UE identification information of the UE. The system may provide, to the UE, DNS information regarding using the cloud DNS or the edge DNS to obtain a network address of the edge device.

Abstract: A method for handling an event of a real environment in a virtual reality (VR) environment, includes: identifying an object, a user, and an event occurring in the real environment around a primary user wearing a VR module implemented by at least one hardware processor; determining a first set of parameters of the identified object and the user, and a second set of parameters of the event and an actor in the event, wherein the actor performs the event and is the user; analyzing the VR environment to determine a suitable part in the VR environment; creating an augmented reality (AR) of the actor; scaling, based on the first set of parameters and the second set of parameters, the AR; aligning the AR in relation to the real environment; and merging the aligned AR into the suitable part of the VR environment while maintaining a context of the VR environment.

Abstract: Improved techniques for selecting a handover target cell are described herein, for example in connection with a 5G disaggregated radio network. For example, in addition to evaluating signal quality metrics that are reported by the user equipment subject to the handover, the disclosed techniques can also evaluate additional metrics. For example, a load associated with potential target cells can be considered as neighbor load can cause handover issues. As another example, a history of success rates associated with a handover to the target cell and/or from the serving cell can be considered as well since handover failures can sometimes result due to issues that can be surfaced by the success rate history.

Abstract: During operation, a radio node may provide, at a transmit time during a first time interval, a first instance of a keep-alive message to a computer. Then, the radio node may receive, at a receive time prior to a first instance of a transmit expire time, an instance of a keep-alive response from the computer, where the instance of the keep-alive response authorizes the radio node to transmit in a granted portion of the spectrum until a second instance of the transmit expire time has elapsed. Moreover, the radio node may determine, based at least in part on the receive time and the first instance of the transmit expire time, an updated transmit time. Next, the radio node may provide, at the updated transmit time, which is prior to the second instance of the transmit expire time, a second instance of the keep-alive message addressed to the computer.

Abstract: Generally provided is a system for determining unknown, new and/or changed radio system architecture/topology, including available system connections between nodes, NFs, CU-UPs, DUs and/or CU-CPs. 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 request from a user equipment (UE) for network access, and selecting a central unit user plane (CU-UP) to which to assign the UE based on a known aspect of a network topology of a communication network comprising the CU-UP. The system can provide a learned and dynamic approach to network topology analysis, and can allow for determining a CU-UP based on network topology, connection availability, loading, downtime, traffic connections, bandwidth and/or one or more other KPIs.

Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to provide a test configuration to a plurality of multi-access edge computing (MEC) devices; collect test results associated with the provided test configuration from the plurality of MEC devices; and obtain capability information associated with particular ones of the plurality of MEC devices. The computer device may be further configured to generate a test report that relates one or more parameters included in the test results and the obtained capability information to particular ones of the plurality of MEC devices; and use the generated test report to select a MEC device from the plurality of MEC devices for a user equipment (UE) device requesting an application session.

Abstract: A device may receive historical network behavior data associated with a network that includes network devices and may receive historical weather data associated with a geographical location of the network. The device may receive historical action data identifying historical actions taken for the network in response to the historical weather data, and may train a correlation model, with the historical network behavior data, the historical weather data, and the historical action data, to generate a trained correlation model. The device may receive a weather event forecast associated with the geographical location, and may process the weather event forecast, with the trained correlation model, to determine an anticipated behavior of the network in response to the weather event forecast. The device may process data identifying the anticipated behavior, with the trained correlation model, to identify actions to take in response to the anticipated behavior and may perform the actions.

Abstract: During operation, the radio node may identify a second portion of a shared-license-access (SLA) band of frequencies with an improved communication-performance metric relative to a first portion of the SLA band of frequencies, which is currently approved and authorized for use. In response, the radio may provide a grant request to the computer for the second portion of the SLA band of frequencies, and may receive a grant response from the computer with an approval for a grant to the second portion of the SLA band of frequencies. Then, the radio node may provide a heartbeat request to the computer requesting authorization to use the second portion of the SLA band of frequencies, and may receive a heartbeat response from the computer with the authorization. Next, the radio node may provide a relinquishment request to the computer for the first portion of the SLA band of frequencies.

Abstract: A system described herein may monitor, via a Central Unit (“CU”) of a radio access network (“RAN”), radio frequency (“RF”) metrics associated with a User Equipment (“UE”). The monitored RF metrics may be based on communications between the UE and a Distributed Unit (“DU”) that is communicatively coupled to the CU. The system may identify a Multi-Access/Mobile Edge Computing (“MEC”) device that is communicatively coupled to the DU and that provides one or more services to the UE via the DU. The system may resource allocation parameters for the MEC based on the RF metrics between the UE and the DU. The system may instruct the MEC to implement the set of resource allocation parameters. The MEC may modify an allocation of MEC resources, allocated for providing the one or more services to the UE, based on the determined set of resource allocation parameters.

Abstract: During operation, a radio node may receive location information relating to a location of the radio node. Then, the radio node may provide a grant request to a computer, where the grant request includes a request to reserve a portion of a shared-license-access band of frequencies for use by the radio node based at least in part on the location information. Note that the location information may indicate whether the radio node is included in a geographic region. For example, the geographic region may include locations within a predefined distance from a boundary, such as a coastline. When the location information indicates the radio node is included in the geographic region, the portion of the shared-license-access band of frequencies may be outside of a second portion of the shared-license-access band of frequencies that is selectively used by a government user or a satellite service.

Abstract: During operation, a radio node may provide, at a transmit time during a first time interval, a first instance of a keep-alive message to a computer. Then, the radio node may receive, at a receive time prior to a first instance of a transmit expire time, an instance of a keep-alive response from the computer, where the instance of the keep-alive response authorizes the radio node to transmit in a granted portion of the spectrum until a second instance of the transmit expire time has elapsed. Moreover, the radio node may determine, based at least in part on the receive time and the first instance of the transmit expire time, an updated transmit time. Next, the radio node may provide, at the updated transmit time, which is prior to the second instance of the transmit expire time, a second instance of the keep-alive message addressed to the computer.