Jong Ho Yoon

20210410014, Dec 30, 2021

Sep 7, 2021

17/467708

- Bellevue WA, US
Jong Sung Yoon - Sammamish WA, US

H04W 28/20
H04W 24/02
H04W 16/10
H04W 24/08
H04W 36/00
H04W 64/00
H04B 17/309
H04W 72/10
H04W 24/10

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.

20210377788, Dec 2, 2021

May 27, 2020

16/885118

- Bellevue WA, US
Jong Sung Yoon - Sammamish WA, US

H04W 28/02
H04W 4/021
H04B 17/318
H04L 5/00

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.

20210127303, Apr 29, 2021

Oct 25, 2019

16/664609

- Bellevue WA, US
Jong Sung Yoon - Sammamish WA, US

T-Mobile USA, Inc. - Bellevue WA

H04W 28/20
H04W 24/02
H04W 16/10
H04W 24/08
H04W 24/10
H04W 64/00
H04B 17/309
H04W 72/10
H04W 36/00

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.

20200413266, Dec 31, 2020

May 19, 2020

16/878000

- Bellevue WA, US
Jong Sung Yoon - Sammamish WA, US

H04W 16/22
H04L 12/24
H04W 16/28

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.

20200404523, Dec 24, 2020

Jun 20, 2019

16/447137

- Bellevue WA, US
Jong Sung Yoon - Sammamish WA, US

H04W 24/10
H04W 24/08
H04B 17/318

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.

20200267588, Aug 20, 2020

May 7, 2020

16/869257

- Bellevue WA, US
Jie Hui - Mercer Island WA, US
Jong Sung Yoon - Sammamish WA, US

H04W 24/10
H04L 12/24
H04W 4/02
H04L 12/26
H04B 17/318

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.

20190208437, Jul 4, 2019

Mar 8, 2019

16/297250

- Bellevue WA, US
Jie Hui - Mercer Island WA, US
Jong Sung Yoon - Sammamish WA, US

H04W 24/10
H04L 12/24
H04L 12/26
H04W 4/02
H04B 17/318

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.

20180174226, Jun 21, 2018

Sep 19, 2013

14/031895

- Reno NV, US
Jong Hwa Yoon - Seattle WA, US

Amazon Technologies, Inc. - Reno NV

G06Q 30/06
G06Q 10/08

Processes for receiving, packaging and/or processing orders for items offered by an electronic marketplace are described, including methods whereby certain products of interest may be identified and subjected to alternative inbound and/or outbound processing that omit certain steps used in similar processes. A first inbound process may include steps related to shelving, or otherwise storing, received products, prior to packaging such products for mailing and delivery to consumers. In some examples, a second inbound process may omit one or more of the shelving/storing steps from the first inbound process, and pre-package the received product for mailing.