Abstract: User equipment (UE) can include a spectrum analyzer to monitor characteristics of transmission channels. The user equipment can monitor a 600 MHz spectrum and associated channels, for example, to determine if the spectrum is free of interference or is currently occupied. The UE can analyze a received signal strength indication (RSSI), a reference signal received power (RSRP), a reference signal received quality (RSRQ), and signal-to-interference-plus-noise ratio (SINR), for example, to distinguish between types of interference if a channel is occupied. User equipment (UE) can aggregate data and report such data to a network device further aggregate the data and to generate reports. Network components can be deployed or optimized based at least in part on network metrics provided by individual UEs or aggregated data provided by a plurality of UEs. In some instances, the UE can be a mobile phone of a customer to gather metrics in a distributed manner.

Abstract: A processor-implemented method includes receiving, from a mobile device, transmission information corresponding to an audio data transmission associated with an audio data packet loss of one or more audio data packets. The processor determines, based at least in part on the transmission information, a geographic region associated with a wireless communication network transceiver. The processor further determines an average audio data packet loss rate associated with the geographic region and a correlation between the audio data packet loss and at least one key performance indicator (KPI). The KPI is indicative of the audio data transmission. Based at least in part on (i) the average audio data packet loss rate and (ii) the correlation between the audio data packet loss and the at least one KPI, the processor generates a handover instruction comprising at least one threshold value for transitioning control from a first cell channel to a second cell channel.

Abstract: User equipment (UE) can include a network analyzer to capture network metrics to monitor conditions of cell coverage and coverage overlap. In some instances, the UE is served by a neighboring cell located further away instead of the nearest cell due to coverage overlap. The UE can capture data representing network metrics and can report such data to a network device to further aggregate the data and to generate reports. The network device can use the aggregated data to perform overshooting analysis, which may include determining transmission power of neighboring cells that overlap with coverage of a target cell. The aggregated data may be used to determine an overshoot index for a cell. A cell with high overshoot index may be designated an overshooter cell. The parameters of an overshooter cell may be modified to reduce interference between cells.

Abstract: The techniques describe herein involve receiving, from a user device, captured network data associated with an altitude and analyzing the network data at a network node. The network node can determine a coverage index associated with the altitude and compare the coverage index with an aggregated coverage index to determine a network response. The network response can include deploying and/or modifying a network component associated with the altitude. Additionally, the network node can update a multidimensional coverage map based on the coverage index and/or the network response.

Abstract: User equipment (UE) can include a network analyzer to capture network metrics to monitor conditions of cell coverage and coverage overlap. In some instances, the UE is served by a neighboring cell located further away instead of the nearest cell due to coverage overlap. The UE can capture data representing network metrics and can report such data to a network device to further aggregate the data and to generate reports. The network device can use the aggregated data to perform overshooting analysis, which may include determining transmission power of neighboring cells that overlap with coverage of a target cell. The aggregated data may be used to determine an overshoot index for a cell. A cell with high overshoot index may be designated an overshooter cell. The parameters of an overshooter cell may be modified to reduce interference between cells.

Abstract: A processor-implemented method includes receiving, from a mobile device, signal strength information indicative of a signal strength of a signal between the mobile device and a network transceiver in a mobile device telecommunications network. The processor determines, based at least in part on the signal strength information, a coverage area associated with the network transceiver, determines, based at least in part on the signal strength information, an aggregated signal strength associated with a location within the coverage area, and determines a predicted signal strength associated with the location. The predicted signal strength is based at least in part on a signal strength estimation model. The processor determines a difference between the aggregated signal strength and the predicted signal strength, determines whether the difference meets or exceeds a signal strength threshold, and generates a message to update hardware component associated with the location.

Abstract: The techniques described herein involve determining a context-based Quality of Experience based upon client device Quality of Experience diagnostic files in combination with client device equipment dynamics. Client device Quality of Experience (QoE) diagnostic files may indicate a reduced QoE at a client device, such as reduced signal strength or an increased number of dropped packets. User behavior during a reduced QoE event may be reflected as equipment dynamics, which may be included in equipment dynamics files. A service provider may receive information from the client device and may analyze the information to determine, with an increased confidence level, that the user device experiences a reduced QoE. Network resources may be allocated in response to the reduced QoE determination, thereby increasing a functioning of the computing network and an associated device's Quality of Experience.

Abstract: The techniques describe herein involve receiving, from a user device, captured network data associated with an altitude and analyzing the network data at a network node. The network node can determine a coverage index associated with the altitude and compare the coverage index with an aggregated coverage index to determine a network response. The network response can include deploying and/or modifying a network component associated with the altitude. Additionally, the network node can update a multidimensional coverage map based on the coverage index and/or the network response.

Abstract: The techniques described herein involve determining a context-based Quality of Experience based upon client device Quality of Experience diagnostic files in combination with client device equipment dynamics. Client device Quality of Experience (QoE) diagnostic files may indicate a reduced QoE at a client device, such as reduced signal strength or an increased number of dropped packets. User behavior during a reduced QoE event may be reflected as equipment dynamics, which may be included in equipment dynamics files. A service provider may receive information from the client device and may analyze the information to determine, with an increased confidence level, that the user device experiences a reduced QoE. Network resources may be allocated in response to the reduced QoE determination, thereby increasing a functioning of the computing network and an associated device's Quality of Experience.

Abstract: User equipment (UE) can include a roaming analyzer to capture call data to monitor conditions of roaming coverage and networks. The UE can aggregate data and report such data to a network device to further aggregate the data and to generate reports. The network device can use the aggregated data to evaluate roaming coverage and to determine a coverage index for each location area code. Network components can be deployed or optimized based at least in part on the coverage index. In some instances, when the UE is connected to a roaming cell, the coverage index can be used to adjust a search frequency for a provider cell.

Abstract: Techniques are disclosed for determining whether a mobile device is located indoors or outdoors. In some embodiments, a mobile device may utilize a fusion of the information from multiple sensors, such as a RGB sensor, a proximity sensor, a light intensity sensor, and a WiFi radio, to determine whether the mobile device is located indoors or outdoors.

Abstract: A computing device of a telecommunication network can receive crowd-sourced Wi-Fi reports submitted by user equipment based on scans for beacon signals broadcast by Wi-Fi access points. From the crowd-sourced Wi-Fi reports, the computing device can determine when Licensed Assisted Access (LAA) transmissions over channels of an unlicensed spectrum are safe and are not expected to interfere with Wi-Fi transmissions.

Abstract: The remote analysis of mobile device quality of experience diagnostic files includes analyzing diagnostic files. A diagnostic driver application resident at the mobile device is remotely activated to generate and send diagnostic files to one or more network resident servers for analysis. The diagnostic files may be analyzed to determine the mobile device quality of experience, and to determine a root cause and geographic and/or network location of a problem, such as dropped calls or poor data connectivity. In some embodiments, the diagnostic files may be aggregated to form a database of aggregated diagnostics, which can be used to further analyze a telecommunications network to determine the root cause of a network problem.

Abstract: The techniques described herein involve determining a context-based Quality of Experience based upon client device Quality of Experience diagnostic files in combination with client device equipment dynamics. Client device Quality of Experience (QoE) diagnostic files may indicate a reduced QoE at a client device, such as reduced signal strength or an increased number of dropped packets. User behavior during a reduced QoE event may be reflected as equipment dynamics, which may be included in equipment dynamics files. A service provider may receive information from the client device and may analyze the information to determine, with an increased confidence level, that the user device experiences a reduced QoE. Network resources may be allocated in response to the reduced QoE determination, thereby increasing a functioning of the computing network and an associated device's Quality of Experience.

Abstract: The techniques described herein involve determining a context-based Quality of Experience based upon client device Quality of Experience diagnostic files in combination with client device equipment dynamics. Client device Quality of Experience (QoE) diagnostic files may indicate a reduced QoE at a client device, such as reduced signal strength or an increased number of dropped packets. User behavior during a reduced QoE event may be reflected as equipment dynamics, which may be included in equipment dynamics files. A service provider may receive information from the client device and may analyze the information to determine, with an increased confidence level, that the user device experiences a reduced QoE. Network resources may be allocated in response to the reduced QoE determination, thereby increasing a functioning of the computing network and an associated device's Quality of Experience.

Abstract: Techniques and devices for circumventing wireless data monitoring in communications between a communication device and a proxy server, as well as systems and techniques for detecting and resolving vulnerabilities in wireless data monitoring systems are described herein. The techniques for circumventing wireless data monitoring may include manipulating a routing table of a communication device, encapsulating data in an unmonitored protocol, and transmitting the encapsulated data in a “bearer,” or communications channel, to a proxy server that fulfills requests included in the encapsulated data. Furthermore, the techniques for detecting and resolving network vulnerabilities may include restricting protocols by bearers in an Access Control List, limiting a bandwidth of a bearer, or protecting a routing table in a secure location of the communication device.

Abstract: The techniques described herein involve analysis of client device Quality of Experience diagnostic files including an operations log or diagnostic files for a client device. The client device Quality of Experience diagnostic files may be generated by a client device and sent to a network node for analysis. The diagnostic files may be analyzed to determine device Key Performance Indicators and a device Quality of Experience, and to determine a root cause of a network problem (such as dropped calls) leading to a diminished Quality of Experience. In some embodiments, the diagnostic files may be aggregated to form a database of aggregated diagnostics, which can be used to further analyze a network to determine the root cause of a network problem. In some embodiments, the aggregated diagnostics may be indexed according to location, time, device type, device problem, or access technology.

Abstract: User equipment (UE) can include a spectrum analyzer to monitor characteristics of transmission channels. The user equipment can monitor a 600 MHz spectrum and associated channels, for example, to determine if the spectrum is free of interference or is currently occupied. The UE can analyze a received signal strength indication (RSSI), a reference signal received power (RSRP), a reference signal received quality (RSRQ), and signal-to-interference-plus-noise ratio (SINR), for example, to distinguish between types of interference if a channel is occupied. User equipment (UE) can aggregate data and report such data to a network device further aggregate the data and to generate reports. Network components can be deployed or optimized based at least in part on network metrics provided by individual UEs or aggregated data provided by a plurality of UEs. In some instances, the UE can be a mobile phone of a customer to gather metrics in a distributed manner.

Abstract: Techniques and devices for circumventing wireless data monitoring in communications between a communication device and a proxy server, as well as systems and techniques for detecting and resolving vulnerabilities in wireless data monitoring systems are described herein. The techniques for circumventing wireless data monitoring may include manipulating a routing table of a communication device, encapsulating data in an unmonitored protocol, and transmitting the encapsulated data in a “bearer,” or communications channel, to a proxy server that fulfills requests included in the encapsulated data. Furthermore, the techniques for detecting and resolving network vulnerabilities may include restricting protocols by bearers in an Access Control List, limiting a bandwidth of a bearer, or protecting a routing table in a secure location of the communication device.

Abstract: Techniques are disclosed for determining whether a mobile device is located indoors or outdoors. In some embodiments, a mobile device may utilize a fusion of the information from multiple sensors, such as a RGB sensor, a proximity sensor, a light intensity sensor, and a WiFi radio, to determine whether the mobile device is located indoors or outdoors.