The present disclosure relates to a fiber optic network including a plurality of fiber distribution components daisy chained together to form a chain of fiber distribution components, the chain of fiber distribution components having a first set of optical fiber paths that are indexed along a length of the chain and a second set of optical fiber paths that are not indexed along a length of the chain.

The present disclosure relates to a fiber optic network including a plurality of fiber distribution components daisy chained together to form a chain of fiber distribution components, the chain of fiber distribution components having a first set of optical fiber paths that are indexed along a length of the chain and a second set of optical fiber paths that are not indexed along a length of the chain.

In one embodiment, a distributed antenna system comprises: at least one master unit; at least one remote antenna unit communicatively coupled via a switch to the master unit by a primary cable and a secondary cable both coupled to the switch, the remote antenna unit comprising a compensating link check module that outputs a control signal to the switch, wherein the switch selects between the primary and secondary cable in response to the control signal; wherein the compensating link check module controls the switch to momentarily select the secondary cable to perform a link check during which the remote unit measures a quality metric of a downlink signal received via the secondary cable; and upon initiation of the link check, the compensating link check module adjusts an attenuation of the downlink signal received on the secondary cable by loading calibration settings for the secondary cable into a compensation attenuator.

In one embodiment, a distributed antenna system comprises: at least one master unit; at least one remote antenna unit communicatively coupled via a switch to the master unit by a primary cable and a secondary cable both coupled to the switch, the remote antenna unit comprising a compensating link check module that outputs a control signal to the switch, wherein the switch selects between the primary and secondary cable in response to the control signal; wherein the compensating link check module controls the switch to momentarily select the secondary cable to perform a link check during which the remote unit measures a quality metric of a downlink signal received via the secondary cable; and upon initiation of the link check, the compensating link check module adjusts an attenuation of the downlink signal received on the secondary cable by loading calibration settings for the secondary cable into a compensation attenuator.

A method for processing an incoming call to a called terminal in a telecommunications network, implemented by a TAS server in an IMS network. The method includes: interrogating an SDM entity to determine whether the service profile of the user associated with the called terminal contains IN terminating service information; interrogating an SDM entity to determine whether the routing domain to be used to route the call to the called terminal is a circuit or packet type; if the routing domain is a packet type, determining whether the called terminal is effectively reachable in packet mode, and if applicable, via which type of access network; if the service profile contains IN terminating information, allowing the IN terminating service provided for the user of the called terminal to be distinguished according to the type of access network of the called terminal; and routing the call to the called terminal.

A method for multiple transaction capabilities application part (TCAP) operation code (opcode) screening includes receiving a first SS7 signaling message including multiple TCAP opcodes. The method further includes determining that the first SS7 signaling message requires further processing. The method further includes, in response to determining that the first SS7 signaling message requires further processing, decoding, from the first SS7 signaling message, N TCAP opcodes, where N is an integer of at least two. The method further includes, for each of the N TCAP opcodes, applying a filter and determining that one of the filters indicates that the opcode, alone or in combination with other parameters in the first SS7 signaling message, is not allowed. The method further includes, in response to determining that the one filter indicates that the opcode, alone or in combination with the other parameters is not allowed, performing an SS7 firewall action.

An example method comprises establishing, via a first data communication interface of a first computing device, a physical connection to between the first computing device and a second computing device. The method also includes receiving, at the first computing device, input data via a second data communication interface of the first computing device. The method further includes controlling an operation at the first computing device based on the input data when the input data is received prior to establishing the connection. The method further includes routing the input data to the second computing device via an input data switch of the first computing device when the input data is received after establishing the connection.

Systems and methods for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.

Systems and methods for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.

Provided is a country-specific telephone number system analysis system. The system includes a telephone number system analysis logic server; a number analysis machine learning system; a country-specific international call service provider information database; a country-specific telephone number system information database; and a telephone call connection logic database. The telephone number system analysis logic server receives a target telephone number of a telephone call from a user terminal, and checks whether the target telephone number conforms to an international telephone number system protocol. When it is determined that the target telephone number does not conform to the international telephone number system protocol, the number analysis machine learning system identifies a country corresponding to the target telephone number by accessing the country-specific telephone number system information database. When the country and an international call service provider are identified by the number analysis machine learning system, the target telephone number is dialed after adding a dial code of the international call service provider and a country code as prefixes before the target telephone number, based on the telephone call connection logic database.