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公开(公告)号：US10791468B2
公开(公告)日：2020-09-29
申请号：US16133081
申请日：2018-09-17
Applicant: Verizon Patent and Licensing Inc.
Inventor： Michael Antony Raj , Joshua H. Wainer , Paul Kerl , Hans Raj Nahata
Abstract: A system determines an optimized number and placement of wireless stations based on predicted future demand scoring of end user devices. A computing device calculates a growth projection of mobile devices in a geographic region for a time period; calculates a visiting projection for a peak amount of mobile devices connected to wireless stations in the geographic area and their locations when connected to wireless stations within the time period; calculates an application-use projection for bandwidth use patterns of the mobile devices within the time period; and calculates a network impact projection for an amount bandwidth impact by the mobile devices at each of the wireless stations. The computing device generates a demand score for geographic units within the geographic region, based on the projections, and assigns, based on the demand score, one or more of the geographic units as placement locations for new wireless station during the time period.
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Patent Agency Ranking
公开(公告)号：US11089485B2
公开(公告)日：2021-08-10
申请号：US16530008
申请日：2019-08-02
Applicant: Verizon Patent and Licensing Inc.
Inventor： Joshua H. Wainer , Paul Kerl , Michael Antony Raj
Abstract: A system identifies first areas of a multiple areas of a wireless network for wireless site installation and determines geographic locations within each of the identified first areas for prospective wireless site installations. The system performs machine learning to associate measured network performance parameters within the wireless network with empirical data related to population, population densities, housing growth rates, housing densities, and building growth rates. The system determines, based on the machine learning, geographic locations within each of the identified first areas for installations of prospective wireless sites, and forecasts improvements in network performance parameters associated with building each of the prospective wireless site installations. The system optimizes a number, type, and placement of the prospective wireless site installations within each of the identified first areas of the wireless network to maximize improvements in network performance parameters while satisfying resource constraints.
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公开(公告)号：US11463887B2
公开(公告)日：2022-10-04
申请号：US17370413
申请日：2021-07-08
Applicant: Verizon Patent and Licensing Inc.
Inventor： Joshua H. Wainer , Paul Kerl , Michael Antony Raj
Abstract: A system identifies first areas of a plurality of areas of a wireless network for wireless site installation. The system performs machine learning to associate measured network performance parameters within the wireless network with empirical data related to at least one of population, residential buildings, or business buildings within the identified first areas of the wireless network. The system optimizes, based on the machine learning, geographic placement of prospective wireless sites within each of the identified first areas of the wireless network to maximize improvements in network performance parameters associated with installing the prospective wireless sites. The system provides optimized wireless site placement recommendations for wireless site installation in each of the identified first areas.
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公开(公告)号：US20210337393A1
公开(公告)日：2021-10-28
申请号：US17370413
申请日：2021-07-08
Applicant: Verizon Patent and Licensing Inc.
Inventor： Joshua H. Wainer , Paul Kerl , Michael Antony Raj
Abstract: A system identifies first areas of a plurality of areas of a wireless network for wireless site installation. The system performs machine learning to associate measured network performance parameters within the wireless network with empirical data related to at least one of population, residential buildings, or business buildings within the identified first areas of the wireless network. The system optimizes, based on the machine learning, geographic placement of prospective wireless sites within each of the identified first areas of the wireless network to maximize improvements in network performance parameters associated with installing the prospective wireless sites. The system provides optimized wireless site placement recommendations for wireless site installation in each of the identified first areas.
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公开(公告)号：US20210037394A1
公开(公告)日：2021-02-04
申请号：US16530008
申请日：2019-08-02
Applicant: Verizon Patent and Licensing Inc.
Inventor： Joshua H. Wainer , Paul Kerl , Michael Antony Raj
Abstract: A system identifies first areas of a multiple areas of a wireless network for wireless site installation and determines geographic locations within each of the identified first areas for prospective wireless site installations. The system performs machine learning to associate measured network performance parameters within the wireless network with empirical data related to population, population densities, housing growth rates, housing densities, and building growth rates. The system determines, based on the machine learning, geographic locations within each of the identified first areas for installations of prospective wireless sites, and forecasts improvements in network performance parameters associated with building each of the prospective wireless site installations. The system optimizes a number, type, and placement of the prospective wireless site installations within each of the identified first areas of the wireless network to maximize improvements in network performance parameters while satisfying resource constraints.
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公开(公告)号：US20200092732A1
公开(公告)日：2020-03-19
申请号：US16133081
申请日：2018-09-17
Applicant: Verizon Patent and Licensing Inc.
Inventor： Michael Antony Raj , Joshua H. Wainer , Paul Kerl , Hans Raj Nahata
Abstract: A system determines an optimized number and placement of wireless stations based on predicted future demand scoring of end user devices. A computing device calculates a growth projection of mobile devices in a geographic region for a time period; calculates a visiting projection for a peak amount of mobile devices connected to wireless stations in the geographic area and their locations when connected to wireless stations within the time period; calculates an application-use projection for bandwidth use patterns of the mobile devices within the time period; and calculates a network impact projection for an amount bandwidth impact by the mobile devices at each of the wireless stations. The computing device generates a demand score for geographic units within the geographic region, based on the projections, and assigns, based on the demand score, one or more of the geographic units as placement locations for new wireless station during the time period.
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