Abstract: The concepts and technologies disclosed herein are directed to the creation of dynamic language for private metaverse. According to one aspect disclosed herein, a user device can set up a private metaverse. The user device can invite, based upon an input provided by a user, at least one member to join a private group that includes the user. The user device can create a dynamic language for use by the private group while the private group is within the private metaverse. The dynamic language can be based upon input from the user or the user and one or more members of the private group.

Abstract: Concepts and technologies disclosed herein are directed to using proof of work for preventing distributed denial of server (“DDOS”) attacks. A server system can receive a resource request from a client system. The resource request can specify a resource. The server system can determine a congestion level based upon a load metric and a threshold. In response to determining that the load metric is above the threshold, the server system can determine that the congestion level is indicative of a high demand period. In response to the resource request being received during the high demand period, the server system can provide a work assignment to the client system. The server system can receive work results for the work assignment sent to the client system. In response to receiving the work results, the server system can process the resource request and can send the resource to the client system.

Abstract: A method includes defining a first specification for a first network slice, determining a first equilibrium value for a first time period for the first network slice offering, receiving a first bid price for the first network slice for the first time period from a first customer, comparing the first equilibrium value to the first bid price; and providing services using the network slice to the customer during the time period in accordance with the first specification and the bid price if the bid price meets or exceeds the equilibrium value.

Abstract: Concepts and technologies disclosed herein are directed to adaptive user-controllable wireless event alert (“WEA”) presentation. According to one aspect disclosed herein, a WEA-capable device can execute a WEA application to present a user interface through which a user defines a WEA alert setting. The WEA alert setting can change how the WEA is presented to the user. The WEA-capable device can receive the WEA and can present the WEA to the user in accordance with the WEA setting. The WEA setting can be based upon a time, a type of the WEA, a sensor output, or some combination thereof.

Abstract: Concepts and technologies disclosed herein are directed to need-based generation of multi-modal communication aids to aid verbal communications. According to one aspect disclosed herein, a user system can receive a request for a multi-modal communication aid to be used during a communications session between the user system and an additional user system. The communications session can include live audio and/or live video. The request can be received in response to a technology issue (e.g., poor audio quality) and/or a user issue (e.g., difficulty hearing). In response to the request, the user system can receive a selection of the multi-modal communication aid. The selection can be based upon a pre-defined multi-modal communication aid or a newly-created multi-modal communication aid (e.g., user-created or artificial intelligence-created). The user system can the provide the multi-modal communication aid to the additional user system via the communications service.

Abstract: Aspects of the subject disclosure may include, for example, determining a coherence block for each user equipment (UE) of a plurality of UEs being served by the first cell, resulting in a plurality of coherence blocks, responsive to the determining, identifying a smallest coherence block from the plurality of coherence blocks, identifying a pilot sequence length based on the smallest coherence block, determining a plurality of orthogonal pilot sequences based on the identifying the pilot sequence length, designating, from the plurality of orthogonal pilot sequences, a first group of orthogonal pilot sequences for use in the first cell, and distributing, to each neighboring cell of a plurality of neighboring cells adjacent to the first cell, a respective group of orthogonal pilot sequences from a remainder of the plurality of orthogonal pilot sequences, to prevent pilot contamination between the first cell and the plurality of neighboring cells. Other embodiments are disclosed.

Abstract: Systems and methods may create and manage hybrid clouds including both standard compute nodes and edge devices. Edge devices can be enrolled in a hybrid cloud by deploying a lightweight container to the edge device.

Abstract: A closed loop carrier sense multiple access multiuser request to send and clear to send handshaking system is provided to efficiently allocate licensed and unlicensed spectrum for a plurality of mobile devices and across different base stations and mobile network operators. A user equipment device can be connected to a base station device via a first frequency in licensed spectrum, and a second frequency in unlicensed spectrum. The air interface on the first frequency can then be used to coordinate physical and virtual carrier sensing on a second frequency among a plurality of user equipment devices. Moreover, carrier sensing results from a plurality of UEs can be reported a base station device via the first frequency in licensed spectrum. The base station device can then schedule multiple user multiple input, multiple output (MU-MIMO) transmissions to a plurality of UEs on the second frequency in unlicensed spectrum.

Abstract: A method can be provided which includes receiving a channel line-up for an over-the-top media content system, receiving a preferred channel line-up containing a portion of the channel line-up, displaying individual channels of the channels of the preferred channel line-up in a preferred order on a display associated with the processor, monitoring a location of the processor while displaying the preferred channel line-up, determining whether the location of the processor corresponds to a channel exclusion zone, and removing excluded channels from the channel line-up based on the channel exclusion zone. Other embodiments are disclosed.

Abstract: A processing system may identify a plurality of user interaction data associated with a target category of a plurality of users, identify a relevant subset of user interaction data, compress the plurality of user interaction data to the relevant subset of user interaction data, train a machine learning model with the relevant subset of user interaction data, obtain additional user interaction data associated with an additional user, identify a relevant subset of the additional user interaction data, apply the relevant subset of the additional user interaction data as an input to the machine learning model, obtain an output of the machine learning model quantifying a measure of which the relevant subset of the additional user interaction data is indicative of the target category, and perform at least one action responsive to the measure of which the relevant subset of the additional user interaction data is indicative of the target category.

Abstract: The disclosed technology is directed towards delivering electronic messages from senders to recipients in an intelligent way, based on the determined likelihood of each recipient acting on a message. Message delivery can be delayed upon delayed message delivery criterion being satisfied, based on user profile data the user establishes for each messaging application. Predicted recipient user availably, predicted recipient user receptivity and/or the identity of the sender, for example, can be used as factors in determining delivery data representing the likelihood of a recipient acting on a message. Delivery of the message is to a recipient's device is delayed when the delivery data satisfies delayed delivery criterion. The delayed delivery time can be determined from the recipient user's predicted availably and/or receptivity data, and/or the identity of the sender. The sender is notified of a delayed message delivery, and can be presented with options as to other actions to take.

Abstract: Concepts and technologies are disclosed herein for communications network security for handling proxy voice calls that employ a voicebot. According to one aspect disclosed herein, a call handling system can intercept, from a communications network, a call request that is directed to a called target device. The call handling system can determine that the call request was generated by a voicebot on behalf of a user equipment. The call handling system can suspend the call request from being routed to the called target device. The call handling system can generate a voicebot confirmation request that identifies the voicebot and the user equipment. The call handling system can provide the voicebot confirmation request to the called target. The call request can be suspended while the voicebot confirmation request is provided to the called target device.

Abstract: Concepts and technologies disclosed herein are directed to pictograms as digitally recognizable tangible controls. According to one aspect disclosed herein, a user system can include a processing component and a memory component. The memory component can include instructions of a pictogram digitization module. The user system can capture, via a camera component, an image containing a pictogram that is a digitally recognizable tangible manifestation of a digital control. The user system can determine, via the pictogram digitization module, the digital control associated with the pictogram. The user system can implement, via the pictogram digitization module, the digital control. The digital control can include a digital content, an action, or a context. The user system can create, via the pictogram digitization module, a digital interface that includes the digital control. In some embodiments, the pictogram includes a formal pictogram. In other embodiments, the pictogram includes an informal pictogram.

Abstract: Aspects of the subject disclosure may include, for example, receiving, at a device, a message over a communication network from a remote source, determining if the message includes executable code and initiating a virtual machine in an isolated portion of the memory of the device responsive to the determining the message include executable code. Aspects of the subject disclosure further include executing, by the virtual machine, the executable code within the isolated portion of the memory, monitoring, by an artificial intelligence module, activities of the executable code during the executing the executable code and determining if the executable code comprises malicious code responsive to the monitoring activities of the executable code. Aspects of the disclosure further include deleting the executable code from the device in response to a determination that the executable code comprises malicious code. Other embodiments are disclosed.

Abstract: Concepts and technologies are disclosed herein for creating and using native virtual probes in computing environments. A request for a service that includes a virtual function can be received, where the virtual function is to be monitored by a native virtual probe. An image of the service can be obtained, where the image can include a first image component for the virtual function and a second image component for the native virtual probe. The image can be deployed. Deployment of the image can result in instantiation of the virtual function on a computing device and instantiation of the native virtual probe on the computing device.

Abstract: Aspects of the subject disclosure may include, for example, a network device that comprises a processing system including a processor and a memory storing instructions that, when executed by the processing system, facilitate performance of operations. The operations include obtaining timing advance data regarding a communication device served by the network; the timing advance data is collected by a network element coupled to the network device, and the network element communicates with the communication device using control-plane signaling. The timing advance data is processed using location data regarding the network element to determine a geolocation of the communication device. The geolocation is stored at a storage device; the network device and storage device are included in a secure portion of the network. The geolocation is provided to equipment of a network customer accessing the secure portion of the network via a secure interface. Other embodiments are disclosed.

Abstract: Image processing device security is provided herein. A method can include assembling, by a first system comprising a processor using a first virtual machine enabled via the first system, raw input data captured by an image capture device from an input image, resulting in assembled input data; generating, by the first system using a second virtual machine that is enabled via the first system and distinct from the first virtual machine, an output image from the assembled input data; reading, by the first system in response to the generating, the output image; and preventing, by the first system, a second system, distinct from the first system, from accessing the output image in response to the reading resulting in execution of unauthorized instructions at the first system.

Abstract: Architectures and techniques are presented that can provide point-to-point analysis to generate an improved signal strength prediction (SSP) based on, e.g., earth surface image data processing and analysis to draw conclusions of line of sight (LOS) along the propagation path between a BTS or another AP transmitter and CPE receiver. For example, USGS image data and/or elevation data of locations are identified to correspond to signal propagation between the transmitter and receiver can be analyzed for LOS signal quality at a fixed location, in addition to the statistical model prediction of the RF signal quality. As a result, foliage or terrain that obstructs the LOS can be identified and utilized to improve SSP by eliminating the additional pathloss due to LOS obstructions. Such can provide a significant improvement to SSP results that are conventionally predicted by statistical models rather than a point-to-point analysis.

Abstract: In one example, a processing system may identify a type of data contained in a first dataset that is to be stored in a storage array, wherein the storage array comprises a plurality of storage zones, and wherein the plurality of storage zones includes at least two different types of storage technologies. The processing system may generate a metadata file for the first dataset that contains self-describing information for the first dataset, wherein the metadata file is generated based on the type of the data, and wherein the self-describing information defines a manner, a time, and a location for storing the first dataset. The processing system may send the first dataset to a first storage zone of the plurality of storage zones, wherein the self-describing information includes an instruction to send the first dataset to the first storage zone for at least a defined period of time.

Abstract: Aspects of the subject disclosure may include, for example, generating a management manifest for a network function (NF) software application, wherein the NF software application is to be deployed in a cloud computing environment, based on the generating the management manifest, deriving a software package that includes the NF software application and the management manifest, and causing the software package to be outputted for deployment in the cloud computing environment, wherein inclusion of the management manifest with the NF software application in the software package facilitates utilization of the management manifest for monitoring and management of a system that results from deployment of the NF software application in the cloud computing environment. Other embodiments are disclosed.