Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.

Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.

Abstract: A method for detecting coverage problems is provided. The method includes receiving, at data processing hardware, from at least one user equipment (UE), observations. Each observation includes a signal measurement of a signal emitted from a base station and a corresponding location of the signal measurement. The method also includes generating, by the data processing hardware, a coverage map for the base station based on the received observations, the coverage map indicating a signal characteristic of the emitted signal about the base station. The method further includes determining, by the data processing hardware, an estimated characteristic of the base station by feeding the coverage map into a neural network configured to output the estimated characteristic of the base station.

Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.

Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.

Abstract: A method for detecting coverage problems is provided. The method includes receiving, at data processing hardware, from at least one user equipment (UE), observations. Each observation includes a signal measurement of a signal emitted from a base station and a corresponding location of the signal measurement. The method also includes generating, by the data processing hardware, a coverage map for the base station based on the received observations, the coverage map indicating a signal characteristic of the emitted signal about the base station. The method further includes determining, by the data processing hardware, an estimated characteristic of the base station by feeding the coverage map into a neural network configured to output the estimated characteristic of the base station.

Abstract: A method for detecting coverage problems is provided. The method includes receiving, at data processing hardware, from at least one user equipment (UE), observations. Each observation includes a signal measurement of a signal emitted from a base station and a corresponding location of the signal measurement. The method also includes generating, by the data processing hardware, a coverage map for the base station based on the received observations, the coverage map indicating a signal characteristic of the emitted signal about the base station. The method further includes determining, by the data processing hardware, an estimated characteristic of the base station by feeding the coverage map into a neural network configured to output the estimated characteristic of the base station.

Abstract: This disclosure provides systems, methods, and apparatus for reducing or avoiding interference between communications of one base station-user equipment pair and communications of another base station-user equipment pair. A first user equipment can monitor a timing offset between the communications and send the timing offset to a first base station that services the first user equipment. The first base station time advances a window of time during which it receives uplink signals from the first user equipment. The base station also sends a time advance value and instructions to the first user equipment to advance a window of time during which the first user equipment transmits uplink signals to the first base station. The timing advance value is based on the timing offset value determined by the first user equipment. Thus, a gap period between uplink and downlink windows is increased, thereby reducing interference.

Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.

Abstract: A method for detecting coverage problems is provided. The method includes receiving, at data processing hardware, from at least one user equipment (UE), observations. Each observation includes a signal measurement of a signal emitted from a base station and a corresponding location of the signal measurement. The method also includes generating, by the data processing hardware, a coverage map for the base station based on the received observations, the coverage map indicating a signal characteristic of the emitted signal about the base station. The method further includes determining, by the data processing hardware, an estimated characteristic of the base station by feeding the coverage map into a neural network configured to output the estimated characteristic of the base station.

Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.

Abstract: A method for detecting coverage problems is provided. The method includes receiving, at data processing hardware, from at least one user equipment (UE), observations. Each observation includes a signal measurement of a signal emitted from a base station and a corresponding location of the signal measurement. The method also includes generating, by the data processing hardware, a coverage map for the base station based on the received observations, the coverage map indicating a signal characteristic of the emitted signal about the base station. The method further includes determining, by the data processing hardware, an estimated characteristic of the base station by feeding the coverage map into a neural network configured to output the estimated characteristic of the base station.

Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for providing improved network services to service members are described. A first set of network devices associated with a service membership are identified from among a plurality of network devices. Time offset data that provisions a time displacement from a universal time setting is generated. Synchronization data is transmitted to each device in the first set of network devices associated with the service membership. The synchronization data includes instructions for each device in the first set of network devices to offset the universal time setting at the device according to the generated time offset data.

Abstract: A method for detecting coverage problems is provided. The method includes receiving, at data processing hardware, from at least one user equipment (UE), observations. Each observation includes a signal measurement of a signal emitted from a base station and a corresponding location of the signal measurement. The method also includes generating, by the data processing hardware, a coverage map for the base station based on the received observations, the coverage map indicating a signal characteristic of the emitted signal about the base station. The method further includes determining, by the data processing hardware, an estimated characteristic of the base station by feeding the coverage map into a neural network configured to output the estimated characteristic of the base station.

Abstract: A telecommunication system includes base stations, a backhaul network transmitters, a backhaul network in communication with the base stations, and a synchronizing system in communication with the base stations. The base stations are configured to transmit/receive signals to/from user equipment and the backhaul network is configured to convey information to and from at least one of the base stations. The synchronizing system is configured to synchronize a communication timing between the base stations over a synchronizing network. The synchronizing network is separate from the backhaul network and is configured to provide the communication timing between the synchronizing system and a corresponding synchronization port at each of the base stations.

Abstract: A method for identifying an interfering transmitter in a network is disclosed. The method includes receiving an interference indication indicating interference between transmitters in the network. The method includes ceasing transmitting operations of all of the transmitters in the network for a threshold period of time. The method includes soliciting an interference assessment of the network for the threshold period of time when all of the transmitters in the network ceased the transmitting operations. When the interference assessment indicates cessation of the interference between the transmitters in the network, the method includes determining that the interfering transmitter resides inside of the network; and executing an interference isolation routine configured to identify the interfering transmitter.

Abstract: An integrated base station provides uplink and downlink wireless connectivity between user equipment and a wireless communication network. In order to accommodate certain features of the network, a bypass switch of the integrated base station is employed so that the baseband module of the base station is bypassed as to those features. In this case, selected data obtained from the RF transceiver of the integrated base station is processed by equipment in the back end system instead of by the baseband module. A first operation mode enables the baseband module to process the selected data, while a second operation mode bypasses the baseband module so that the back end system performs the processing. The bypass switch may be permanently activated. The bypass process allows for processing of the selected data in an efficient manner without requiring replacement of the integrated base station, thereby providing an efficient and cost-effective solution.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for providing improved network services to service members are described. A first set of network devices associated with a service membership are identified from among a plurality of network devices. Time offset data that provisions a time displacement from a universal time setting is generated. Synchronization data is transmitted to each device in the first set of network devices associated with the service membership. The synchronization data includes instructions for each device in the first set of network devices to offset the universal time setting at the device according to the generated time offset data.

Abstract: An integrated base station provides uplink and downlink wireless connectivity between user equipment and a wireless communication network. In order to accommodate certain features of the network, a bypass switch of the integrated base station is employed so that the baseband module of the base station is bypassed as to those features. In this case, selected data obtained from the RF transceiver of the integrated base station is processed by equipment in the back end system instead of by the baseband module. A first operation mode enables the baseband module to process the selected data, while a second operation mode bypasses the baseband module so that the back end system performs the processing. The bypass switch may be permanently activated. The bypass process allows for processing of the selected data in an efficient manner without requiring replacement of the integrated base station, thereby providing an efficient and cost-effective solution.