Patent classifications
H04H20/78
MACHINE LEARNING FOR RF IMPAIRMENT DETECTION
Systems and methods for automatically analyzing spectral power measurements to identify abnormalities. The systems and methods may receive measurements comprising RF power measured over a contiguous range of frequencies, where at least a first portion of the contiguous range is used to transmit signals and at least a second portion of the contiguous range is unused. Respective boundaries of the unused portions may be identified and infilled to provide modified measurements. The modified measurements may be automatically analyzed to identify the abnormalities.
MACHINE LEARNING FOR RF IMPAIRMENT DETECTION
Systems and methods for automatically analyzing spectral power measurements to identify abnormalities. The systems and methods may receive measurements comprising RF power measured over a contiguous range of frequencies, where at least a first portion of the contiguous range is used to transmit signals and at least a second portion of the contiguous range is unused. Respective boundaries of the unused portions may be identified and infilled to provide modified measurements. The modified measurements may be automatically analyzed to identify the abnormalities.
Resource allocation in communications networks using probability forecasts
A system (1000) is disclosed including a resource allocation optimization (RAO) platform (1002) for optimizing the allocation of resources in network (1004) for delivery of assets to user equipment devices (UEDs) (1012). The RAO platform (1002) determines probabilities that certain asset delivery opportunities (ADOs) will occur within a selected time window and uses these probabilities together with information concerning values of asset delivery to determine an optimal use of asset deliveries. In this regard, the RAO platform (1004) received historical data from repository (1014) that facilitates calculation of probabilities that ADOs will occur. Such information may be compiled based on asset delivery records for similar network environments in the recent past or over time.
Resource allocation in communications networks using probability forecasts
A system (1000) is disclosed including a resource allocation optimization (RAO) platform (1002) for optimizing the allocation of resources in network (1004) for delivery of assets to user equipment devices (UEDs) (1012). The RAO platform (1002) determines probabilities that certain asset delivery opportunities (ADOs) will occur within a selected time window and uses these probabilities together with information concerning values of asset delivery to determine an optimal use of asset deliveries. In this regard, the RAO platform (1004) received historical data from repository (1014) that facilitates calculation of probabilities that ADOs will occur. Such information may be compiled based on asset delivery records for similar network environments in the recent past or over time.
FIBER-COAXIAL AMPLIFIER DEVICE
There is provided fiber-coaxial amplifier device (10) comprising at least one output (14) and a test point (26) associated with the at least one output (14), wherein alternative first and second electrical paths (36, 38) are connectable to the at least one output (14), the first path (36) connectable to the at least one output (14) whilst bypassing the test point, the second path (38) connectable to both the at least one output (14) and the test point (26), and a relay (30) operable to connect one of the first path or the second path to the at least one output (14). The fiber-coaxial amplifier device (10) is configured for signals complying with Extended Spectrum DOCSIS.
REFLECTION-LESS IN-HOME NETWORK ADAPTER
A system includes an input and a plurality of outputs. The system also includes an in-home network adapter configured to connect to and be positioned between the input and the plurality of outputs. The system also includes a splitter configured to connect to and be positioned between the in-home network adapter and the plurality of outputs. The input is configured to receive signals in a first bandwidth and signals in a second bandwidth. The in-home network adapter is configured to allow the signals in the second bandwidth to pass from the input to the plurality of outputs and from the plurality of outputs to the input. The in-home network adapter is configured to attenuate or prevent the signals in the first bandwidth from passing from the input to the plurality of outputs, from the plurality of outputs to the input, or both.
REFLECTION-LESS IN-HOME NETWORK ADAPTER
A system includes an input and a plurality of outputs. The system also includes an in-home network adapter configured to connect to and be positioned between the input and the plurality of outputs. The system also includes a splitter configured to connect to and be positioned between the in-home network adapter and the plurality of outputs. The input is configured to receive signals in a first bandwidth and signals in a second bandwidth. The in-home network adapter is configured to allow the signals in the second bandwidth to pass from the input to the plurality of outputs and from the plurality of outputs to the input. The in-home network adapter is configured to attenuate or prevent the signals in the first bandwidth from passing from the input to the plurality of outputs, from the plurality of outputs to the input, or both.
PROVIDER EQUIPMENT IDENTIFICATION
A provider equipment identification (ID) device includes a provider equipment with a plurality of output ports and an ID beacon device. The provider equipment is configured to perform a signal processing operation on an input signal and deliver an output signal to one or more of the output ports. The ID beacon device is coupled to the provider equipment. The ID beacon device is configured to output at least one pilot beacon signal which is receivable by each of the output ports to electrically excite each of the output ports such that the at least one pilot beacon signal is introduced in the output signal to generate an altered output signal capable of identifying the provider equipment.
Traffic management architecture
A cable distribution system includes a head end connected to a plurality of customer devices through a transmission network that provides data suitable for the plurality of customer devices. A traffic monitoring system receives from a customer support device a first data request for a parameter of one of the plurality of customer devices. The traffic monitoring system provides a second data request for the parameter of the one of said plurality of customer devices to a customer premise equipment management system in response to receiving the first data request. The traffic monitoring system receiving a first data response including the parameter from the customer premise equipment management system in response to providing the second data request to the customer premise equipment management system. The traffic monitoring system providing a second data response including the parameter from the traffic management system to the customer support device in response to receiving the first data response.
Traffic management architecture
A cable distribution system includes a head end connected to a plurality of customer devices through a transmission network that provides data suitable for the plurality of customer devices. A traffic monitoring system receives from a customer support device a first data request for a parameter of one of the plurality of customer devices. The traffic monitoring system provides a second data request for the parameter of the one of said plurality of customer devices to a customer premise equipment management system in response to receiving the first data request. The traffic monitoring system receiving a first data response including the parameter from the customer premise equipment management system in response to providing the second data request to the customer premise equipment management system. The traffic monitoring system providing a second data response including the parameter from the traffic management system to the customer support device in response to receiving the first data response.