US 11,997,505 B2
Method and apparatus for CBRS network planning and operating in an enterprise network
Nagi Mahalingam, San Diego, CA (US); Mohit Goyal, Sunnyvale, CA (US); Mehmet Yavuz, Palo Alto, CA (US); Rajeshwar Ponna, San Jose, CA (US); Rajeev Shah, Los Gatos, CA (US); Sourav Bandyopadhyay, Liluah Howrah (IN); and Aparna Jaiswal, Sunnyvale, CA (US)
Assigned to Celona, Inc., Campbell, CA (US)
Filed by Celona, Inc., Cupertino, CA (US)
Filed on Sep. 2, 2020, as Appl. No. 17/010,584.
Prior Publication US 2022/0070682 A1, Mar. 3, 2022
Int. Cl. H04W 16/18 (2009.01); G06F 30/27 (2020.01); G06N 20/00 (2019.01); H04B 17/391 (2015.01); H04W 16/02 (2009.01); H04W 16/24 (2009.01); H04W 24/00 (2009.01); H04W 24/02 (2009.01); G06F 11/36 (2006.01); G06N 5/04 (2023.01); H04L 41/16 (2022.01)
CPC H04W 16/18 (2013.01) [G06F 30/27 (2020.01); G06N 20/00 (2019.01); H04B 17/3913 (2015.01); G06F 11/3692 (2013.01); G06N 5/04 (2013.01); H04L 41/16 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method of planning, deploying, and operating a spectrum-controlled, wireless communication network that includes a plurality of Base Stations/Access Points (BS/APs) located within an enterprise location, the BS/APs communicating wirelessly with a plurality of User Equipment devices (UEs), comprising the steps of:
generating a plurality of network models using machine learning techniques responsive to a predictor space that includes at least one of spectrum availability, topology definitions, Node/Link configurations, pathloss models, and line-of-sight probabilities;
storing said network models in a models database;
providing said network models to a network planner;
receiving input into said network planner regarding intended deployment, including location and at least one of building type, network requirements, and number of devices;
responsive to said location input, determining spectrum availability at said location; and
responsive to said input and spectrum availability, estimating and deploying a number of BS/APs needed to cover the intended deployment.