Abstract: Aspects of the subject disclosure may include systems and methods, for example, including receiving a user input in natural language, retrieving a first answer including a list of a first number of documents relevant to the user input by searching indexed documents in a knowledge base, applying the first answer to a large language model reader, resulting in a second answer, re-ranking the first answer by using the second answer, resulting in a third answer including a re-ranked list of the first number of documents, and generating a final response including the second answer and one or more documents among the third answer.

Abstract: Adaptable resiliency for a virtualized radio access network (vRAN) framework is disclosed. A resiliency management component can determine vRAN topological adaptations that can reflect resiliency requirements of service instance(s). Accordingly, sufficient redundant vRAN components to satisfy the resiliency requirements can be deployed. However, unlike conventional redundancy techniques that can determine a highest level of redundancy and then apply that relative to all supported services, the disclosed subject matter can avoid over-deploying redundant vRAN components, e.g., redundant components exceeding the resiliency requirement of a service instance, resulting in lowered monetary and non-monetary costs to maintain a vRAN. Moreover, as the services change, the topology of the vRAN can be automatically adapted to purge excessive redundancies, add newly required redundancies, etc., which can facilitate propagating an adequate but lean vRAN topology that is sufficiently resilient.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a request pertaining to an onboarding of an application supporting a communication network or system, based on the obtaining of the request, establishing a profile for the application, selecting first resources of a first cloud computing network to support the application, based on the selecting of the first resources, configuring at least one resource of the first resources based on the profile, and deploying a first instance of the application to utilize the first resources. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards network slice pre-configuration for cellular communication systems, including 5G and subsequent generation cellular communication systems. Network equipment can be preconfigured to identify whether a network slice identifier included in a network communication belongs to a group of network slice identifiers. If so, the network equipment can process the network communication either according to a network slice rule that corresponds specifically to the network slice identifier, or according to a default group network slice rule for the group to which the network slice identifier belongs. Different groups of network slice identifiers can be associated with different sets of group network slice rules which can be arranged to reduce the work of setting up network slice identifiers in various network slicing scenarios.

Abstract: Aspects of the subject disclosure may include, for example, determining whether a first device is communicating under a bandwidth surplus with a fixed network, wherein the bandwidth surplus results at least in part from use by the first device of one or more link aggregation groups, wherein the one or more link aggregation groups comprise one or more satellite broadband communication channels as well as licensed cellular wireless spectrum, unlicensed wireless spectrum, or a combination of the licensed cellular and unlicensed spectrum; determining whether a second device is communicating under a bandwidth deficit with the fixed network; and responsive to the first device communicating under the bandwidth surplus and responsive to the second device communicating under the bandwidth deficit, allocating at least a portion of the bandwidth surplus associated with the first device to the second device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device, including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving an original audio signal for an interval; creating a time-series graphical image of the original audio signal for the interval; compressing the time-series graphical image, thereby creating a reduced resolution image; recreating a retrieved audio signal from the reduced resolution image; determining whether a comparison of the retrieved audio signal to the original audio signal meets a quality threshold; responsive to meeting the quality threshold, compressing the reduced resolution image further and repeating the recreating and determining steps; and transmitting a last reduced resolution image that meets the quality threshold. Other embodiments are disclosed.

Abstract: A method and a system of responding to a cybersecurity incident are disclosed. The method comprises: receiving incident data of at least one incident from a given computer system; analyzing the incident data of the at least one incident, including determining whether the at least one incident has been prevented before; in response to determining that the at least one incident has not been prevented yet in the given computer system, determining, based on the incident data, a threat severity of the at least one incident; and in response to the threat severity of the at least one incident exceeding a predetermined threat severity threshold, determining, based on the incident data, one or more responses to the at least one incident for responding thereto in the given computer system.

Abstract: A processing system may apply a data set comprising utilization metrics of a cells of a cell sector to a throughput prediction model to obtain a first predicted throughput for the cell sector for a designated future time period and for all cells being in an active state. The processing system may generate a first modified data set simulating a first cell being placed in an inactive state, by distributing utilization metrics of the first cell over at least one additional cell, and may apply the first modified data set to the throughput prediction model to obtain a second predicted throughput. The processing system may then determine that the second predicted throughput meets a threshold throughput that is based on the first predicted throughput, and transmit at least one instruction to place the first cell in the inactive state for the designated future time period in response to the determining.

Abstract: An architecture for dynamically selecting and routing traffic from Internet of things (IoT) devices and sensors to the nearest or most proximate IoT hub device. A method can comprise receiving a connection request from a user device; retrieving address data representing a network device of a group of network devices; and sending the address data to the user device.

Abstract: A touchless multi-staged retail process automation systems and methods (retail process automation system) to automate key store functionalities within retail stores is disclosed. The retail process automation system receives a set of commands (e.g., a voice command) to automatically perform retail store operations such as opening a store, closing a close, automatically opening tills, etc. with the single command. As a result, the retail process automation system replaces the multiple-touches required by conventional systems with a touchless solution, thereby providing increased time and resource efficiency of managing store operations. For example, the retail process automation system intercepts a voice command to identify the associated retail store information and source of the command. The retail process automation system then generates a set of operations associated with the received voice command to alter a state of the retail store.

Abstract: The technology described herein controls what a user hears while in a virtual reality environment. A user may be exposed to multiple audio sources while in the virtual reality environment. All of these competing audio sources need to be combined to produce the audio content output to the user. Further, various entities have an interest in the user hearing different audio content. The interest can be expressed through settings made available by the VR platform. The VR platform can provide user settings, landowner settings, and platform settings. The sound settings can change based on where the user's avatar is located in the VR environment. For example, when the user's avatar is located on virtual property owned by an entity other than the VR platform or user, then entities sound-preferences are considered along with the user's sound preferences, and VR platform's sound preferences.

Abstract: A power connector system having a right-angle type plug connector or a straight type plug connector engageable with a header connector. The right-angle type plug connector is a plug connector having a mating direction, which is 90 degrees from the centerline of the cables exiting from the plug connector. The straight type plug connector is a plug connector having a mating direction, which is parallel to the centerline of the cables exiting the back of the plug connector. The header connector holds at least a female receiving terminal or receptacle made of a high electrical conductivity material. The female receiving terminal or receptacle includes fingers that extend parallel to each other, and are spaced apart from each other, and further includes a reinforcing spring member. The plug connector holds at least a male rectangular tab terminal, the male rectangular tab terminal having a short edge and a long edge.

Abstract: Methods, media, and systems are provided for continuity of a telecommunications network service in an IP Multimedia Subsystem (IMS) layer providing telecommunications network services to devices located on an island. The IMS layer may comprise a Call Session Control Function (CSCF) or an application server. A diameter routing agent (DRA) or other diameter traffic controller associated with the CSCF transmits a request to a Home Subscriber Server (HSS) (e.g., that is located on a mainland). The CSCF, application server, or both have a skip HSS flag comprising instructions for connectivity loss with the HSS. Based on determining a loss of connectivity with the HSS, a Serving CSCF associated with the island is automatically selected or the Serving CSCF automatically transmits a response indicating the request was successful registering a user device, such that the user device continues working remotely on the island.

Abstract: Systems and methods are provided for rapid user equipment route selection policy rule processing. A method includes determining an applicable routing policy based on user equipment route selection policy (URSP) rules for an established protocol data unit (PDU) session and storing PDU session information with the established uplink PDU session in a cache. The method further includes examining subsequent uplink packets for PDU session information and checking the cache for an established PDU session with matching uplink PDU session information. The method additionally includes routing the subsequent uplink packets to the established PDU session having the matching PDU session information, causing the subsequent uplink packet to be processed in accordance with the applicable routing policy as previously determined based on the URSP rules.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system determines that performance of a service is required at a first location in a smart community; identifies a robot to be transported, and determines whether physical transport or virtual transport is to be performed for the robot. If physical transport is to be performed, the system initiates communication with a robot transport controller to schedule the physical transport to the first location from a different second location. If virtual transport is to be performed, the processing system initiates communication with a radio access network (RAN) to schedule the virtual transport; the virtual transport includes configuring the robot at the first location. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to detecting reflective surfaces for use reflecting a signal from access point equipment to destination equipment in advanced networks, e.g., at least a fifth generation (5G) network. For example, a method described herein can include receiving a request, from access point equipment, to establish a communications session between the access point equipment and destination equipment. The method can further include based on a source of surface information, predicting that a transient reflective surface is going to be located at a first geographic location and is going to be usable by the access point equipment to reflect a signal to the destination equipment, resulting in reflected path information corresponding to a reflected path for the communications session. Further, the method can include, in response to the request, communicating to the access point equipment, the reflected path information.

Abstract: A method for determining a reliability of a wireless device to estimate its location under a simulated environmental condition includes simulating an environmental condition inside a test chamber by controlling a physical parameter. The test chamber contains the wireless user device configured to estimate a location of the wireless user device based on reference signals received from a signal source. The method includes communicating a pattern of reference signals having varying signal propagation characteristics in the test chamber. The method includes receiving an indication of an estimated location calculated by the wireless user device based on the pattern of reference signals. The reliability of the wireless device to estimate its location under the simulated environmental condition is determined based on a comparison of the estimated location with the simulated location.

Abstract: The described technology is generally directed towards reducing unwanted cellular network activities, such as phantom 911 calls or other unwanted cellular network activities. Machine learning models described herein can be trained, using device level data and network level data, to identify devices that are likely to engage in an unwanted cellular network activity. A trained machine learning model can be deployed to identify devices, and devices identified by the trained machine learning model can be re-configured to prevent them from engaging in the unwanted cellular network activity. Devices likely to engage in the unwanted cellular network activity are thus identified and reconfigured to prevent future unwanted cellular network activity before it occurs.