T-mobile Usa, Inc.

University of Michigan

T-mobile Onnovations LLC

Jong Sung Yoon

Jie Hui

Kevin Lau

Antoine T Tran

Zhuoqing Morley Mao

Samson Kim-Sun Kwong

Yunhan Jia

Salvador Mendoza

Thomas P Lucht

Kranthi Sontineni

Daniel Howard Wilson

Maxwell Andrew Smith

Evgene Shulga

Sanjay Perumbur

Shoeb Mohammed

Michael J Mitchell

Dennis Jarret Guill, Jr

Allan Orbigo

Leandro L Recova

Chao Kong

Systems and methods are provided herein to dynamically and efficiently optimize network expansion of a network carrier based on UE data collected from a plurality of user equipment (UEs). The UE data is processed based on different computerized algorithms to locate optimal locations for adding a new access point to expand the network. Aspects herein are also directed to systems and methods for generating and displaying dynamic maps on graphical user interfaces (GUI) in accordance with aspects herein.

Network expansion optimization

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.

Wireless communication network audio data packet loss diagnostics and visualization system

Solutions for estimating a cellular site location, for example in a roaming network, includes receiving data metrics from a plurality of user devices corresponding to communications using a roaming carrier network, wherein the data metrics are stored on the plurality of user devices during the communication using the roaming carrier network, and the data metrics are received using a home carrier network. The received data metrics is filtered to identify the roaming carrier network and the filtered data metrics group corresponding to a cell within the roaming carrier network. A source of a signal corresponding to the cell is determine and the location of the cellular site corresponding the source of the signal estimated.

Estimating cellular site locations

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.

User equipment including spectrum analyzer, and network device

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.

Licensed assisted access based on low utilization of unlicensed channels

Techniques and systems relate to utilizing network metrics to optimize performance and network coverage for a telecommunications network. Using techniques described herein, a telecommunications network may utilize network metrics collected from user equipment (UE) devices to determine how where to deploy cells, such as 5G cells, in order to optimize network performance. Metrics are collected by UE that indicates the use of different wireless access technologies (e.g., 3G, 4G, 4G LTE, 5G, . . . ) within a telecommunications network.

Configuring telecommunications network using data obtained from user equipment

User equipment (UE) can include a network analyzer to capture network metrics to monitor conditions of cell coverage and band dominance. In some instances, the UE is served by a base station with multiple network bands. The base station may select a network band based on an optimization scheme. In some instances, 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 band dominance analysis, which may include determining a coverage index for each available band. The coverage index may be used to determine parameters for a base station. The parameters may be modified to trigger handovers to optimize band traffic.

Wireless band priority metrics analysis and response

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.

Contextual quality of user experience analysis using equipment dynamics

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.

Multidimensional analysis and network response

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.

Mobile network signal strength identification and visualization system

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.

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Sammamish, WA, United States of America

Jong Sung Yoon