Abstract: The embodiments of the disclosure provide a method for maintaining multi-SIM (Subscriber Identity Module) configuration and user equipment (UE). The method includes: receiving, by the UE, a first multi-SIM support information from a first cell, wherein the first multi-SIM support information is generated and transmitted from a second cell to the first cell via an inter-node signaling from the second cell to the first cell, and the first cell and the second cell belong to a first network; transmitting, by the UE, a multi-SIM assistance information message to the second cell, wherein the multi-SIM assistance information message is determined based on the first multi-SIM support information.

Abstract: Methods and devices for establishing a communication between a first and a second terminal are described. The disclosed technology can be implemented in or by a server or a terminal in communication with the server. The first terminal can to the server, using a first calling identity, a request including connection information and an identifier of the first terminal. Using the identifier, the server can obtain from a database a pair of calling identities including one certified and one non-certified, the pair comprising the first calling identity and a second calling identity. The server can determine, from one of the calling identities and from the connection information, a connectivity mode of the terminal, and determine a routable number on which the terminal can send a communication to the server. The server can route the communication towards the second terminal by presenting a calling identity of the pair and sending the routable number to the first terminal.

Abstract: Technology for identifying that a communication is from a verified enterprise includes receiving, by a device associated with a user, a data packet from a phone network. The data packet can be included in a communication to the device, which can have an application configured to verify communications from at least one enterprise. A token within the data packet can be identified by the application, and the application can compare the token to at least one token identifier associated with the at least one enterprise. In response to the token corresponding to at least one token identifier, the application can verify that the communication is from the at least one enterprise. In response to the communication being verified, the application can display a validation image on the device.

Abstract: Embodiments of an adaptive virtual intelligent agent (“AVIA”) service are disclosed. It may include the functions of a human administrative assistant for an enterprise including customer support, customer relationship management, and fielding incoming caller inquiries. It also has multi-modal applications for the home through interaction with AVIA implemented in the home. It may engage in free-form natural language dialogs. During a dialog, embodiments maintain the context and meaning of the ongoing dialog and provides information and services as needed by the domain of the application. Over time, the service automatically extends its knowledge of the domain (as represented in the Knowledge Tree Graphs) through interaction with external resources.

Abstract: A PDCCH monitoring method, a terminal and a network device are provided. The method includes: monitoring PDCCH according to PDCCH blind detection capability information of N scheduling cells which are in M cells configured for UE by a network device and further including X scheduled cells; PDCCH blind detection capability information is related to a cell parameter of M cells and indicates maximum processing capability of UE in performing PDCCH blind detection in each or N scheduling cells per unit time; M and N are positive integers greater than or equal to 1, X is a positive integer greater than or equal to 0, M=N+X.

Abstract: An indoor target positioning method based on an improved convolutional neural network (CNN) model includes acquiring and preprocessing target camera serial interface (CSI) data of a to-be-positioned target and matching the preprocessed target CSI data with fingerprints in a positioning fingerprint database to obtain coordinate information of the to-be-positioned target. The generation method of the positioning fingerprint database includes: collecting indoor WiFi signals by a software defined radio (SDR) platform to obtain indoor CSI data corresponding to the WiFi signals, and preprocessing the indoor CSI data; partitioning the preprocessed indoor CSI data into a plurality of data subsets through a clustering algorithm; training an improved CNN model by the data subsets to obtain a trained improved CNN model; and generating the positioning fingerprint database by the trained improved CNN model and the preprocessed indoor CSI data.

Abstract: Systems and methods described herein can automatically route an inbound call from an identified customer to one of a plurality of agents, the agent being selected on the basis of likelihood of a favorable outcome. The method determines a predictive model appropriate for the identified customer, with model variables including call center data, and targeted marketing data based upon risk data for the customer. An analytical engine calculates outcome predictions by applying the predictive model to values of model variables over a recent time interval. In a time-series analysis, this calculation is repeated while dynamically adjusting the recent time interval, until identifying a call routing option that satisfies a favorable outcome criterion. This method may be used to select the agent to handle the incoming call, and optionally to select a product for that agent to discuss with the identified customer.

Abstract: An enhanced routing system determines a service provider best suited to fulfill a user's request to interact and establishes a communication session between the user's client device and a device of the service provider. The enhanced routing system may use user characteristics and behavior to select the service provider. For example, the enhanced routing system receives a request to connect to a customer service system from a user who has recently started a new job and has been accessing a banking application on his mobile phone. The enhanced routing system may determine that a payroll service provider is best suited to fulfill the user's request. For example, the enhanced routing system uses a machine learning model that has been trained on previously fulfilled requests. In this way, the enhanced routing system improves upon systems that continuously prompt the user for information by selecting a service provider without overburdening the user.

Abstract: Systems and methods of providing policy and charging control in an information-centric network are described. An interest packet is transmitted from a content consumer to a holder through a gNB, ICN-PoA and ICN-GW. The interest packet has a prefix identifying content to be retrieved and a type field indicating an interest packet. The ICN-PoA modifies the interest packet to include a type of service (TS) field having the identity of the consumer and then transmitted to the ICN-GW when the content is neither created nor cached inside the 5G network. A data packet that includes the prefix, a type field indicating a data packet and the TS field is returned from the ICN-GW. The data packet is modified by the ICN-PoA to remove the TS field and transmitted to the consumer. The interest and data packets are logged and reported to an ICN-CF for generation of charging records.

Abstract: In one embodiment, a device obtains call transcripts from an online application. The device detects cues within the call transcripts that are indicative of poor user experience. The device generates, based in part on the cues detected within the call transcripts, a model trained to predict poor user experience from network path telemetry for the online application. The device causes traffic for the online application to be routed along a particular network path, based on a prediction by the model.

Abstract: A method is provided. The method comprises a computer performing receiving notice of an incoming inquiry originated by a customer device. The method further comprises the computer performing instantiating a session with the customer device, the session performing comprising the computer combining chatbot functionality and flow control functionality. The method further comprises the computer performing a prompt to the customer device, the prompt comprising a set of valid selections. The method further comprises the computer performing receiving a selection from the customer device. The method further comprises the computer, performing based on the received selection, at least one of providing information to the customer device and routing the inquiry.

Abstract: A method for generating loudspeaker signals associated with a target screen size is disclosed. The method includes receiving a bit stream containing encoded higher order ambisonics signals, the encoded higher order ambisonics signals describing a sound field associated with a production screen size. The method further includes decoding the encoded higher order ambisonics signals to obtain a first set of decoded higher order ambisonics signals representing dominant components of the sound field and a second set of decoded higher order ambisonics signals representing ambient components of the sound field. The method also includes combining the first set of decoded higher order ambisonics signals and the second set of decoded higher order ambisonics signals to produce a combined set of decoded higher order ambisonics signals.

Abstract: Systems and methods for categorizing received calls based on early call information are disclosed. Early call information can be audio, video, other sensor data, or other data collected via a calling device during call setup or any time before the call is routed to or accepted at a receiving device. A call and early call information associated with the call are received. A call characteristic, which can be a purpose or topic of the call, is identified using the early call information. Based on the call characteristic, the received call is categorized and a relative priority for the call is assigned. The call can be routed based on the early call information, and a suggested response to the call can be identified. In some implementations, a machine learning model is trained to categorize received calls based on early call information.

Abstract: Aspects of the subject disclosure may include, for example, detecting, over a network, a call originating from a call originator and intended for a user of a user equipment, responsive to the detecting the call, determining whether to challenge the call originator, based on a determination to challenge the call originator, transmitting a request to the call originator, wherein the request prompts the call originator to specify an identity of the call originator and a purpose for the call, obtaining information from a call originator input responsive to the transmitting the request, deriving enhanced Caller Name or Caller ID data that includes the information, and causing the enhanced Caller Name or Caller ID data to be provided to the user equipment, thereby enabling the user of the user equipment to determine whether to answer the call. Other embodiments are disclosed.

Abstract: Agent conversation item selection is automated by a server that automatically detects speech in a call and converts that speech to text. Software running on the server retrieves one or more items from a data store based on a determination that the text includes one or more keywords or a change in the subject of the call. The keywords can include phrases. The retrieved items include one or more of scripts, articles, manuals, daily bulletins regarding a system state, or any resource that can be used to assist with a customer call or interaction. The software running on the server generates a user interface (UI) output based on the retrieve items, and transmits the UI output to an agent device. Software running on the agent device receives the UI output and displays the retrieved items on a display of the agent device.

Abstract: A system includes a customer network and a telephony server. The customer network is associated with an independent carrier (IC), a native carrier, or both. The customer network includes a call manager, a telephone gateway, an internet gateway, a first device associated with the IC, and a second device associated with the native carrier. The first device communicates with the telephone gateway via the call manager. The second device communicates with the internet gateway. The telephony server is associated with the native carrier. The telephony server supports traffic from the first device and the second device. The telephony server includes a PBX and a session border controller (SBC). The SBC communicates with the telephone gateway via a session initiation protocol (SIP) trunk.

Abstract: An example operation may include one or more of receiving, via a telephone network, a Voice over IP (VOIP) call from a network device, detecting a disturbance value from a tag that has been added to a VOIP message of the VOIP call, determining an answer priority of the VOIP call based on the disturbance value, and processing the VOIP call based on the determined answer priority.

Abstract: Systems and methods for setting up a telephony communication include an operating system of a user telephony device diverting a call setup request made via a native dialer of the user telephony device to a telephony software application on the user telephony device. The telephony software application then sets up the requested telephony communication using a telephony communication application programming interface (API). The telephony communication may be setup in a way that results in the called party not receiving information about the calling party or the calling party's telephone number.

Abstract: A method of provisioning a mobile communication device with an eSIM profile. The method comprises receiving an indication by an application executing on a computer system that a subscriber associated with a mobile communication device provisioned with a first eSIM profile associated with a first network is traveling to a second network, maintaining a pool of eSIM profiles associated with the second network by the application, designating a second eSIM profile that is one of the eSIM profiles in the pool as allocated by the application, sending a copy of the second eSIM profile to the mobile communication device, receiving an indication by the application that the mobile communication device has deactivated the second eSIM profile, and, after receiving the indication that the mobile communication device has deactivated the second eSIM profile, designating the second eSIM profile in the pool as unallocated by the application.

Abstract: A method and system matching contact center agents and back office staff with a customer inquiry. Exemplary systems include an expert term extraction engine, a customer term extraction engine, and a matching engine to compare customer request terms to the expert terms from the customer term extraction engine. The comparison determines whether there is a match or potential match between the customer request terms and the stored expert terms. An exemplary system may also include a timer that communicates with one or more communication servers. Back office staff may assist contact center agents when one or more conditions are met, such as when a customer wait time exceeds a predetermined period or when there is no match or potential match between the customer request terms and the stored expert terms for contact center agents.