16 results about "Voice traffic" patented technology

The present technology is generally directed to optimizing a non-3GPP untrusted Wi-Fi to 5G system handover followed by Evolved Packet System (EPS) fallback, more specifically, to delaying removal of the Wi-Fi session resources and creating a voice flow as part of the EPS fallback. The present technology can receive a request for an EPS fallback from a mobile device for a handover to a 5G network while the mobile device is in communication over non-3GPP access network, maintain one or more resources of the non-3GPP access network during data path switching from the non-3GPP access network to the 5G network, generate a list of EPS bearer identifiers to transmit to an access and mobility management function (AMF), wherein the list of EPS bearer identifiers is associated with a voice flow to transfer the one or more resources of the non-3GPP access network as part of the handover from the non-3GPP access network to the 5G network, and transmit the list of EPS bearer identifiers to a mobility management entity (MME).

The invention discloses a method and a system for optimizing working number AI voice notification resource occupation. The method comprises the following steps that: a calling party A writes a binding relationship of AXB into a working number server database through a voice notification server of a call center and writes whether the binding relationship is an AI voice notification at the same time; if the call is the AI voice notification, shielding the polyphonic ringtone capability of the AI voice notification for initiating the call by modifying the SIP signaling of the call, and preventing the polyphonic ringtone of the called party from being triggered so as to save signaling and voice flow; and when the called party B rejects the call, the call is quickly ended through 183 signaling conversion instead of waiting for timeout. According to the method and the device, two invalid occupation scenes are optimized aiming at the condition of working number AI voice notification, and a large amount of resources can be saved.

Thermally compensated waveguides are disclosed herein. According to one aspect, the present disclosure proposes new ways to combine negative TOC (NTOC) material layers within the waveguides. NTOC materials can be implemented in one or more of a cladding layer, a core rib / channel waveguide, a horizontally segmented waveguide, a vertically segmented waveguide, a sub-wavelength grating structure, and / or in various other waveguide structure implementations including arbitrary core or cladding shapes. The integration of NTOC materials improves the temperature dependence of the waveguide spectrum. The need for fast and efficient optical-based technologies is increasing as Internet data traffic growth rate is overtaking voice traffic, pushing the need for optical communications. The new waveguide structures can be integrated into waveguides, individual devices, integrated devices like arrayed waveguide grating devices, and photonic integration circuits (PICs), decreasing temperature dependence of such devices and circuits.

This invention relates to an efficient method for identifying encrypted voice traffic, comprising: obtaining a temporal feature sequence based on the transmission direction and length characteristics of each encrypted voice traffic data packet in an encrypted voice data stream, wherein the encrypted voice stream sequence includes encrypted voice traffic data packets; mapping the temporal feature sequence from the temporal space to the frequency domain space using a frequency domain mapping method to obtain a frequency domain feature sequence; reconstructing the frequency domain feature sequence using a stacked autoencoder to obtain encoded reconstructed features; and inputting the encoded reconstructed features into a convolutional neural network model to obtain a classification result. This invention ensures the real-time performance and effectiveness of encrypted traffic classification, effectively improves the accuracy of network traffic classification, and enhances the flexibility and generalization ability of network traffic identification.

Currently, spatial reuse (SR) is a feature used indiscriminately for / across all traffic classes. However, systems and methods are provided for increasing the reliability of voice traffic and Transmission Control Protocol (TCP) Acknowledgement (ACK) messaging. The result is improved quality of voice calls, and enhanced network capacity. When the length of a data section of a packet suggests that subsequent packets are associated with voice traffic or TCP ACKs, such packets are not transmitted when another transmission(s) is occurring under spatial reuse. When a determination is made that the length of a data section of the packet suggests non-voice traffic or TCP ACKs, they can be transmitted simultaneously with other transmissions occurring under spatial reuse.

A method of voice call handling and related apparatuses are provided. The method by a user equipment (UE) includes initiating a mobile originated (MO) voice call when the UE is registered to a first RAN applied with a first RAT; performing either handover or voice call redirection from the first RAN to a second RAN applied with a second RAT, wherein an attempt of the UE at establishing a PDU session with the first RAN for IMS voice traffic for the MO voice call is rejected by a core network if the first RAN does not support IMS voice service; and establishing the PDU session with the second RAN for the IMS voice traffic for the MO voice call on the second RAT to start voice call. This method can reduce voice call setup delay.

In some implementations, a network device may receive a key performance indicator (KPI) metric associated with a media resource function, wherein the media resource function is associated with a virtualized telephone application service. The network device may compare the KPI metric to a threshold. The network device may generate an internal event based on the KPI metric satisfying the threshold. The network device may correlate the internal event and an external event, wherein the external event is based on external system formulated data, and correlation results include an indication of non-matching data or matched data between the internal event and the external event. The network device may identify a blocked voice traffic flow based on the correlation results. The network device may transmit a notification that indicates the blocked voice traffic flow, wherein the notification includes a recommendation to resolve the blocked voice traffic flow.

A system and method for processing Voice over Internet Protocol (VoIP) traffic flows, particularly encrypted VoIP traffic flows, on a computer network. The method includes collecting traffic flow data for IP sessions, collecting parameters associated with the IP sessions, determining whether the IP sessions are VoIP sessions, correlating IP sessions having similar parameters with the collected parameters, and creating at least one Internet Protocol Detail Record (IPDR) or Call Detail Record (CDR) based on the correlated IP sessions. The system includes a collection module configured to collect traffic flow data, an analysis module configured to determine the parameters and determine whether the IP sessions are VoIP sessions, and a correlation module configured to correlate IP sessions having similar parameters and create at least one Internet Protocol Detail Record (IPDR) or Call Detail Record (CDR) based on the correlated IP sessions.

Currently, spatial reuse (SR) is a feature used indiscriminately for / across all traffic classes. However, systems and methods are provided for increasing the reliability of voice traffic and Transmission Control Protocol (TCP) Acknowledgement (ACK) messaging. The result is improved quality of voice calls, and enhanced network capacity. When the length of a data section of a packet suggests that subsequent packets are associated with voice traffic or TCP ACKs, such packets are not transmitted when another transmission(s) is occurring under spatial reuse. When a determination is made that the length of a data section of the packet suggests non-voice traffic or TCP ACKs, they can be transmitted simultaneously with other transmissions occurring under spatial reuse.

The application discloses a method and system for optimizing resource occupation of AI voice notification of work number, and the method comprises the following steps: a calling party A writes the binding relationship between AXB into a work number server database through a voice notification server of a call center, and writes whether it is an AI voice notification at the same time; if it is an AI voice notification, the color ring capability of the AI voice notification initiating call is shielded by modifying SIP signaling of the call, so that the color ring of the called party is prevented from being triggered, and signaling and voice flow are saved; and when the called party B refuses, the call is quickly ended through 183 signaling conversion instead of waiting for timeout. The application optimizes two invalid occupation scenes for the AI voice notification of the work number, and a large amount of resources can be saved.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive one or more control messages that indicate both an uplink semi-persistent scheduling (SPS) configuration for voice traffic for the UE and a downlink SPS configuration for the voice traffic for the UE. The UE may receive, in accordance with the downlink SPS configuration, one or more downlink voice packets for the UE via first downlink resources of a plurality of downlink resources indicated by the downlink SPS configuration indicated by the one or more control messages. The UE may transmit, in accordance with the uplink SPS configuration, one or more uplink voice packets for the UE via first uplink resources of a plurality of uplink resources indicated by the uplink SPS configuration indicated by the one or more control messages.

The invention relates to voice service quality prediction in a network. The present disclosure proposes a network device for estimating and / or predicting the quality of voice traffic of a UE, where the network device is associated with a serving cell of the UE, and the network device is configured to: receive one or more measurement reports from the UE, where each measurement report comprises one or more wireless measurement results collected by the UE during voice traffic in the serving cell; a first probability of the UE is obtained based on the one or more measurement reports, where the first probability indicates a probability of occurrence of a low quality traffic event in the serving cell. The present disclosure also proposes a UE for assisting quality estimation and / or prediction of voice services.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive one or more control messages that indicate both an uplink semi-persistent scheduling (SPS) configuration for voice traffic for the UE and a downlink SPS configuration for the voice traffic for the UE. The UE may receive, in accordance with the downlink SPS configuration, one or more downlink voice packets for the UE via first downlink resources of a plurality of downlink resources indicated by the downlink SPS configuration indicated by the one or more control messages. The UE may transmit, in accordance with the uplink SPS configuration, one or more uplink voice packets for the UE via first uplink resources of a plurality of uplink resources indicated by the uplink SPS configuration indicated by the one or more control messages.

The embodiment of the invention relates to a voice service processing method and device and a medium, and the method comprises the steps: determining a voice service estimated value of a next round of period based on the voice traffic of a target cell in a current period; acquiring a spectrum efficiency value of each physical resource block PRB of the target cell for processing the voice service in the current period; and on the basis of the spectrum efficiency value for bearing the voice service in the current period, determining a reserved sub-band of the target cell for bearing the estimated value of the voice service in the next round of period, the reserved sub-band comprising at least one PRB. In the technical scheme, the reserved sub-band of the next period is dynamically determined by periodically combining the voice service estimated value and the spectrum efficiency value of each physical resource block PRB, and the service quality of the voice service is improved.

A system and method for handling Voice over Internet Protocol (VOIP) traffic flows on a computer network, and, in particular, encrypted VoIP traffic flows. The method including: collecting traffic flow data with respect to an IP session; collecting parameters associated with the IP session; determining whether the IP session is a VoIP session; correlating IP sessions having similar parameters to the collected parameters; and creating at least one Internet Protocol Detail Record (IPDR) or Call Detail Record (CDR) based on the correlated IP sessions. The system including: a collection module configured to collect traffic flow data; an analysis module configured to determine parameters and determine whether the IP session is a VoIP session; and a correlation module configured to correlate IP sessions having similar parameters; and create at least one Internet Protocol Detail Record (IPDR) or Call Detail Record (CDR) based on the correlated IP sessions.

The invention discloses an encrypted call audio traffic recognition method based on spectral analysis, a training method of an audio traffic recognition model, a training method of a classification recognition model, devices, a storage medium, equipment and a computer program product. Performing first division on all the voice data packets to generate a plurality of first voice data packet sequences; inputting the plurality of generated first voice data packet sequences into an audio flow identification model, and generating a plurality of second voice data packet sequences by performing second division on all voice data packets through the audio flow identification model; and determining a classification result of the encrypted voice flow data according to the extraction of the data features of each second voice data packet sequence in the frequency domain. The universality and recognition accuracy of the model are improved, and the problem that an existing encrypted speech recognition method is poor in universality is solved.