Abstract: A Fault Management (FaM) system monitoring a telecommunication network is able to determine a root cause of a malfunction within the network. The root cause determination is accomplished by receiving alarms from network elements, which may be physical devices, logical interfaces, or a combination thereof. An alarm typically includes a managed object, an alarm name, object type, timestamp, and the like. FaM systems may receive thousands of alarms, where a root cause alarm indicates a malfunction which triggered other alarms to be reported. Alarms are correlated by the FaM system, and a probability is determined for each correlated alarm to be the root cause. The system may have a learning mode, in which it correlates alarms, and an online mode, in which it receives alarms and determines that the alarms are correlated based on data from the learning mode. In some embodiments, both modes may be executed in parallel.

Abstract: A location-based system detects anomalies in performance indicators of telecommunication networks. The system generates a plurality of service areas, each service area including a plurality of adjacent cell sites. A performance indicator of a first service area of the plurality of service areas is selected and an aggregated service area performance indicator is generated, by aggregating the selected performance indicator for each cell site of the plurality of cell sites of the first service area. Generation of the plurality of service areas may be related to a determined network traffic threshold. The threshold may be related to: total bandwidth provided by a cell site, or total number of calls handled by a cell site. The selected indicator may be, for example the call set-up success rate (CSSR), or the drop call rate (DCR). An alert related to the aggregated indicator may be generated.

Abstract: A Fault Management (FaM) system monitoring a telecommunication network is able to determine a root cause of a malfunction within the network. The root cause determination is accomplished by receiving alarms from network elements, which may be physical devices, logical interfaces, or a combination thereof. An alarm typically includes a managed object, an alarm name, object type, timestamp, and the like. FaM systems may receive thousands of alarms, where a root cause alarm indicates a malfunction which triggered other alarms to be reported. Alarms are correlated by the FaM system, and a probability is determined for each correlated alarm to be the root cause. The system may have a learning mode, in which it correlates alarms, and an online mode, in which it receives alarms and determines that the alarms are correlated based on data from the learning mode. In some embodiments, both modes may be executed in parallel.

Abstract: A location-based system detects anomalies in performance indicators of telecommunication networks. The system generates a plurality of service areas, each service area including a plurality of adjacent cell sites. A performance indicator of a first service area of the plurality of service areas is selected and an aggregated service area performance indicator is generated, by aggregating the selected performance indicator for each cell site of the plurality of cell sites of the first service area. Generation of the plurality of service areas may be related to a determined network traffic threshold. The threshold may be related to: total bandwidth provided by a cell site, or total number of calls handled by a cell site. The selected indicator may be, for example the call set-up success rate (CSSR), or the drop call rate (DCR). An alert related to the aggregated indicator may be generated.

Abstract: The location of a receiver is determined by receiving respective ranging signals from each of a plurality of transmitters at known locations. The ranging signals are cross-correlated with respective model signals to provide respective cross-correlation functions. For cross correlation functions that are determined to include multipath noise, the multipath noise is estimated and removed. Respective delays of the cross-correlation functions are estimated and the location of the receiver is inferred from the delays.

Abstract: The location of a receiver is determined by receiving respective ranging signals from each of a plurality of transmitters at known locations. The ranging signals are cross-correlated with respective model signals to provide respective cross-correlation functions. For cross correlation functions that are determined to include multipath noise, the multipath noise is estimated and removed. Respective delays of the cross-correlation functions are estimated and the location of the receiver is inferred from the delays.