Abstract: Systems and methods for providing information describing mobile network interference experienced by a mobile network.

Abstract: A system can include a network analysis platform that applies models to identify downlink interference at a network cell, such as at a base station. For a session at a cell, an expected performance with normalized downlink interference can be compared to an actual performance to determine whether the session is impacted. This can include normalizing channel quality index (“COI”) and negative-acknowledgement (“NACK”) rate. Overshooting aggressor cells can be identified as the source of the downlink interference based on a useless overlap fraction exceeding a threshold. The impacted sessions and root causes can be displayed on a graphical user interface (“GUI”).

Abstract: A network analysis and management system includes a processor coupled to a communications interface and a non-transitory memory. The processor is configured to read instructions from the non-transitory memory to cause the system to perform operations comprising receiving log data associated with communication between a first user device and a network using a first protocol stack including a plurality of layers. A plurality of network events are generated based on the log data. Each network event is associated with a respective log data entry of the log data and a respective layer of the plurality of layers. First network analysis information is generated by correlating first and second network events using a correlation configuration associated with a network management task. A network management message is generated using the first network analysis information, and transmitted to one of the first user device and the network for performing the network management task.

Abstract: A system can include a network analysis platform that applies models to identify uplink quality degradation at a network cell, such as at a base station. For a session at a cell, an expected user experience can be compared to an actual user experience to determine whether the session is impacted by poor uplink quality. The user experience metric can be either downlink throughput or uplink voice quality. The root cause for either can be determined to be uplink interference or uplink coverage. If the number of impacted sessions exceeds a threshold, the base station can be highlighted on a GUI. Additionally, the network analysis platform can perform root cause analysis of a victim cell.

Abstract: A system can include a network analysis platform that applies performance models to determine if a coverage degradation exists at a network cell, such as at a base station. The performance models are pre-trained based on network telemetry data. For a session at a cell, an expected quality of service (“QoS”) metric can be compared to an actual QoS metric to determine whether the session is impacted by coverage degradation. Throughput is an example QoS metric. If the number of impacted sessions exceeds a threshold, the base station can be highlighted on a GUI. Additionally, the network analysis platform can perform root cause analysis of a victim cell.

Abstract: A system can include a network analysis platform that applies performance models to determine if a load imbalance exists at a cell, such as at a base station. The performance models are pre-trained based on network telemetry data. For a session at a cell, an expected load can be compared to an actual load to determine whether the session is impacted by a load imbalance. If the number of impacted sessions exceeds a threshold, the base station can be highlighted on a GUI. Additionally, the network analysis platform can perform root cause analysis of a victim cell based on session handoff analysis to determine how to decrease the imbalance impacts.

Abstract: Systems and methods for providing information describing mobile network interference experienced by a mobile network.

Abstract: A graphical user interface (“GUI”) allows for the creation of custom key performance indicators (“KPIs”) for real-time analysis of network telemetry events. The GUI can include options for defining variables based on event attributes. These can correspond to events that exist in input telemetry streams at a stream processor. The GUI can allow creation of a formula based on these variables. An aggregation section specifies how the output of the formula is aggregated. This can be based on group, aggregation function, and time period. A manager process causes the stream processor to apply the custom KPI definition to real-time input streams. An output KPI stream can then be routed to a destination for analysis.

Abstract: A method for automated root cause analysis in mobile radio access networks, including: determining mobile radio access network data (e.g., RAN data); detecting an anomaly for a set of user sessions and/or cells from the RAN data; and classifying the detected anomalies using a set of root cause classifiers.

Abstract: A network analysis and management system includes a processor coupled to a communications interface and a non-transitory memory. The processor is configured to read instructions from the non-transitory memory to cause the system to perform operations comprising receiving log data associated with communication between a first user device and a network using a first protocol stack including a plurality of layers. A plurality of network events are generated based on the log data. Each network event is associated with a respective log data entry of the log data and a respective layer of the plurality of layers. First network analysis information is generated by correlating first and second network events using a correlation configuration associated with a network management task. A network management message is generated using the first network analysis information, and transmitted to one of the first user device and the network for performing the network management task.

Abstract: Systems and methods for providing information describing mobile network interference experienced by a mobile network.

Abstract: A network analysis and management system includes a processor coupled to a communications interface and a non-transitory memory. The processor is configured to read instructions from the non-transitory memory to cause the system to perform operations comprising receiving log data associated with communication between a first user device and a network using a first protocol stack including a plurality of layers. A plurality of network events are generated based on the log data. Each network event is associated with a respective log data entry of the log data and a respective layer of the plurality of layers. First network analysis information is generated by correlating first and second network events using a correlation configuration associated with a network management task. A network management message is generated using the first network analysis information, and transmitted to one of the first user device and the network for performing the network management task.

Abstract: Both uplink spectral efficiency and downlink spectral efficiency are improved through adjustments made to various parameters that would otherwise be treated as static type parameters. Variations in respective performance of two or more cells can be considered during the adjustment. Further, variations of respective cell performance based on time of day/week are considered and compensated for through various adjustments. Such timely adaptations are applied in order to improve the performance of each cell, during each time of day/week.

Abstract: Techniques for monitoring and diagnosing states of wireless network elements having a known impact on uplink interference are presented. In an aspect, a method includes receiving, by a system including a processor, diagnostic data for a cellular network including strength data representative of strengths of radio frequency signals, prior to demodulation, respectively received at a plurality of antennas of a base station of the cellular network over a defined duration of time and at a defined sampling rate. The method further includes, based on analyzing the strength data by the system, determining by the system, a state of a network element of the cellular network.

Abstract: Both uplink spectral efficiency and downlink spectral efficiency are improved through adjustments made to various parameters that would otherwise be treated as static type parameters. Variations in respective performance of two or more cells can be considered during the adjustment. Further, variations of respective cell performance based on time of day/week are considered and compensated for through various adjustments. Such timely adaptations are applied in order to improve the performance of each cell, during each time of day/week.

Abstract: Systems and methods for overshooting cell device detection for application to self optimizing network algorithms are disclosed herein. The system ranks neighbor relationships between first, second, and third cell devices in a cellular network, based on handover statistics directly received from the cellular network. The system thereafter identifies one of the second cell device or the third cell device as an outlier neighbor cell device based on a ranking of the neighbor relationships and identifies, as a function of an azimuth direction and a distance between respective cell devices of a group of screened cell devices, an overshooting cell device that propagates a transmitted radio frequency signal causing interference to a cell device included in the group of screened cell devices.

Abstract: Techniques for monitoring and diagnosing states of wireless network elements having a known impact on uplink interference are presented. In an aspect, a method includes receiving, by a system including a processor, diagnostic data for a cellular network including strength data representative of strengths of radio frequency signals, prior to demodulation, respectively received at a plurality of antennas of a base station of the cellular network over a defined duration of time and at a defined sampling rate. The method further includes, based on analyzing the strength data by the system, determining by the system, a state of a network element of the cellular network.

Abstract: An apparatus for measuring spin polarization via Point Contact Andreev Reflection (PCAR) at a magnet-superconductor junction, with variable magnetic fields and temperature control. A cryostat probe investigates superconducting energy gap and Andreev reflection in superconductor-half metal junctions, in a wide range of magnetic fields and temperature from 2K-300K. The cryostat probe is integrated with a commercial physical properties measurement system. The measurement probe includes a rotary-translation stage with coarse and fine screws that enable a user to make point contacts in a cryogenic, evacuated environment where the point contact junction can be controlled at room temperature by turning a knob. Copper wires are connected as electrical leads from an aluminum housing, descend down to a copper housing, for measurement, when contact is made by tip with a half-metal sample, such as CrO2.

Abstract: An apparatus for measuring spin polarization via Point Contact Andreev Reflection (PCAR) at a magnet-superconductor junction, with variable magnetic fields and temperature control. A cryostat probe investigates superconducting energy gap and Andreev reflection in superconductor-half metal junctions, in a wide range of magnetic fields and temperature from 2K-300K. The cryostat probe is integrated with a commercial physical properties measurement system. The measurement probe includes a rotary-translation stage with coarse and fine screws that enable a user to make point contacts in a cryogenic, evacuated environment where the point contact junction can be controlled at room temperature by turning a knob. Copper wires are connected as electrical leads from an aluminum housing, descend down to a copper housing, for measurement, when contact is made by tip with a half-metal sample, such as CrO2.