US 12,108,298 B2
Cross-optimization in mobile networks
Pertti Visuri, Fallbrook, CA (US); Randy Salo, La Jolla, CA (US); Sven Seuken, Zurich (CH); Jay Dills, San Diego, CA (US); Fabio Elia Isler, Hünibach (CH); Christian Van Hamersveld, San Marcos, CA (US); Johanna Visuri, Solana Beach, CA (US); and Dan Zagursky, San Diego, CA (US)
Assigned to Aglocell, Inc., Warrensville, IL (US)
Filed by Aglocell, Inc., Warrensville, IL (US)
Filed on Nov. 18, 2022, as Appl. No. 17/990,535.
Application 17/990,535 is a continuation of application No. 16/800,836, filed on Feb. 25, 2020, granted, now 11,510,124.
Claims priority of provisional application 62/810,268, filed on Feb. 25, 2019.
Prior Publication US 2023/0328612 A1, Oct. 12, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04W 36/22 (2009.01); H04W 36/14 (2009.01); H04W 36/32 (2009.01)
CPC H04W 36/22 (2013.01) [H04W 36/14 (2013.01); H04W 36/32 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method of using at least one hardware processor comprising the steps:
for each of a plurality of network layers receive demand map information for the network layer, wherein the demand map information comprises cell load level and signal quality or throughput information at a plurality of geographic locations in multiple cells in each of at least two of the network layers;
for one or more of the plurality of network layers, receive one or more objectives used in determining an optimal transfer of demand in multiple cells between the plurality of network layers at a plurality of geographic locations at which the plurality of network layers overlap;
analyze load distributions and at least one performance parameter in each of the partial overlap areas for the multiple cells;
determine the parameters for optimal transfer of devices from one network layer to other layers in each of the partial overlap areas for the multiple cells in each network layer based on both the load conditions and performance parameters, wherein the optimal transfer of demand is determined to achieve the one or more objectives using the at least one hardware processor and powerful computing tools, including cloud computing, over a plurality of iterations until one or more objectives are satisfied;
determine one or more parameters to be used by at least one of the plurality of network layers to produce the optimal transfer of demand between at least two of the plurality of network layers in multiple cells at the one or more geographic locations at which the plurality of network layers overlap; and
deliver the set of one or more parameters to the at least one network layer through an interface with at least one network layer.