Disclosed is a method, system, and non-transitory computer-readable record medium for providing a plurality of group calls in a single chatroom. A group call providing method including receiving, by the at least one processor, information about a plurality of group call channels generated in response to a first request from at least one member included in a chatroom, from a server, providing, by the at least one processor, a group call channel list about the plurality of group call channels through the chatroom based on the information about the plurality of group call channels, and starting, by the at least one processor, a group call through a specific group call channel, from among the plurality of group call channels, in response to receiving a second request for joining the specific group call channel through the group call channel list may be provided.

Disclosed is a method, system, and non-transitory computer-readable record medium for providing a plurality of group calls in a single chatroom. A group call providing method including receiving, by the at least one processor, information about a plurality of group call channels generated in response to a first request from at least one member included in a chatroom, from a server, providing, by the at least one processor, a group call channel list about the plurality of group call channels through the chatroom based on the information about the plurality of group call channels, and starting, by the at least one processor, a group call through a specific group call channel, from among the plurality of group call channels, in response to receiving a second request for joining the specific group call channel through the group call channel list may be provided.

Embodiments described herein provide systems and methods for reference signal configuration for multiple panels with panel-specific channel state information reference signals (CSI-RS) configurations and quasi-collocation (QCL) indication, including QCL type definition and indication for panel-specific CSI-RS configurations. Exemplary embodiments further provide multi-component precoder structure with panel specific component precoder and panel common precoder. Embodiments include: (semi)-open-loop schemes using random precoding for panel common precoder and/or panel specific precoder; panel selection/restriction with panel common precoder; MU-MIMO operation using different set of panels; and panel-wise CSI reporting.

This disclosure describes techniques for software-defined service insertion. The techniques include a method of configuring a network for service insertion. The techniques include processing a master policy correlating an endpoint group pair, of source endpoint group and destination endpoint group, to a service graph. The service graph indicates a template service chain, and the template service chain indicates an ordering of a plurality of services. Processing the master policy includes disaggregating the master policy into at least one location specific policy, each of the at least one location specific policy corresponding to a separate location in the network and including traffic steering directives corresponding to a portion of the plurality of services associated with the separate location. The techniques further include causing each of the at least one location specific policy to be stored in association with the separate location to which that location specific policy corresponds.

This disclosure describes techniques for software-defined service insertion. The techniques include a method of configuring a network for service insertion. The techniques include processing a master policy correlating an endpoint group pair, of source endpoint group and destination endpoint group, to a service graph. The service graph indicates a template service chain, and the template service chain indicates an ordering of a plurality of services. Processing the master policy includes disaggregating the master policy into at least one location specific policy, each of the at least one location specific policy corresponding to a separate location in the network and including traffic steering directives corresponding to a portion of the plurality of services associated with the separate location. The techniques further include causing each of the at least one location specific policy to be stored in association with the separate location to which that location specific policy corresponds.

A first carrier may support inbound roaming requests for subscribers of a trusted second carrier. For example, the first carrier may receive an inbound roaming request from a UE. The first carrier may determine a second carrier that is a home carrier of the UE is a trusted carrier associated with the first carrier. In response, an IMS procedure associated with the UE may be performed including communicating, by a first CSCF node of the first carrier, with a first HSS of the second carrier, using a same protocol as used by the first CSCF node to communicate with a second HSS of the first carrier and communicating, by the first CSCF node, with a first AS of the second carrier, using a same protocol as used by the first CSCF node to communicate with a second AS of the first carrier.

In one example, the present disclosure describes a device, computer-readable medium, and method for proactively adjusting the infrastructure of a communications network in response to reporting of real-time network performance. For instance, in one example, a method includes obtaining real-time network performance metrics directly from a user endpoint device operated by a customer of a telecommunication service provider network, correlating the real-time network performance metrics with data from another data source, wherein the data includes data other than network performance metrics, and adjusting an infrastructure of the telecommunication service provider network in response to an insight gleaned through the correlating.

A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.

A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.

The invention discloses a modulator, a demodulator and a wireless communication system. The wireless communication system comprises a modulator and a demodulator. The modulator is suitable for generating a target linear frequency modulation signal, wherein the target linear frequency modulation signal is a signal of which the frequency is varied linearly over time, wherein the phase of the target linear frequency modulation signal is determined by an initial frequency and a frequency stepping of the target linear frequency modulation signal, and the frequency stepping is determined by the bandwidth of the target linear frequency modulation signal and the spreading factor of the target linear frequency modulation signal. The demodulator is suitable for demodulating the target linear frequency modulation signal. According to the scheme, power consumption can be reduced while long-distance signal transmission is realized.