Granted Patent B2

US 12,598,474 · App. 19/259,487 · Granted Apr 7, 2026

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

H04W16/10H04W16/14H04W24/02H04W24/04H04W24/08H04W28/0925H04W28/0967H04W72/0453

Abstract

Claims (42)

1 . A system for spectrum management in an electromagnetic environment comprising:

at least one sensor configured to detect signal information from the electromagnetic environment;

wherein the detected signal information is represented in a vector ensemble class for each signal in the electromagnetic environment;

wherein the vector ensemble class includes at least one signal center frequency, bandwidth, signal-to-noise ratio, and/or time duration;

a Multi-Access Edge Computing (MEC) layer in a network slice in communication with a radio access network (RAN) and a core network;

at least one data analysis engine configured to analyze possible interactions of the detected signal information based on center frequency and/or bandwidth of at least one signal to create analyzed data; and

a wireless network resource optimization application in the MEC layer configured to create a set by adding the possible interactions to the vector ensemble class;

wherein the wireless network resource optimization application is configured to create a customer goals index vector containing binary values that represent whether or not a specific piece of the detected signal information is relevant to satisfying customer goals; and

wherein the wireless network resource optimization application is configured to combine the set with the customer goals index vector and use the analyzed data from the at least one data analysis engine to optimize network resources.

2 . The system of claim 1 , wherein the network slice is administered by a mobile virtual network operator (MVNO).

3 . The system of claim 1 , wherein the network slice is configured to be occupied by at least two tenants.

4 . The system of claim 1 , wherein the MEC layer is configured to provide for optimization of physical layer resources for applications based on environmental conditions.

5 . The system of claim 1 , wherein the network slice is administered by a management and orchestration (MANO) configured to coordinate network services.

6 . The system of claim 1 , wherein the at least one sensor and the at least one data analysis engine are provided in a single chip, a single chipset, or on a single circuit board.

7 . The system of claim 1 , wherein the wireless network resource optimization application utilizes a constraint vector.

8 . The system of claim 1 , wherein a MEC host is deployed at an edge of the RAN.

9 . The system of claim 1 , wherein the MEC layer enables serverless computing by hosting Function as a Service (FaaS) at an edge of the RAN.

10 . The system of claim 1 , wherein the wireless network resource optimization application is configured to generate at least one RAN command to change at least one RAN parameter.

11 . A system for spectrum management in an electromagnetic environment comprising:

at least one sensor configured to detect signal information from the electromagnetic environment;

wherein the detected signal information is represented in a vector ensemble class for each signal in the electromagnetic environment;

wherein the vector ensemble class includes at least one signal center frequency, bandwidth, signal-to-noise ratio, and/or time duration;

at least one data analysis engine configured to analyze possible interactions of the detected signal information based on center frequency and/or bandwidth of at least one signal to create analyzed data;

a Multi-Access Edge Computing (MEC) layer in a network slice in communication with a radio access network (RAN) and a core network, and

a wireless network resource optimization application in the MEC layer configured to create a set by adding the possible interactions to the vector ensemble class;

wherein the wireless network resource optimization application is configured to create a customer goals index vector containing binary values that represent whether or not a specific piece of the detected signal information is relevant to satisfying customer goals; and

wherein the wireless network resource optimization application is configured to combine the set with the customer goals index vector and use analyzed data from the at least one data analysis engine to create actionable data for optimizing the network resources;

wherein the at least one sensor and the at least one data analysis engine are provided in a single chip, a single chipset, or on a single circuit board.

12 . The system of claim 11 , wherein the MEC layer is configured to provide for optimization of physical layer resources based on environmental conditions.

13 . The system of claim 11 , wherein the MEC layer supports cloud computing for the network slice.

14 . The system of claim 11 , wherein the network slice is administered by a management and orchestration (MANO) configured to coordinate network services.

15 . The system of claim 11 , wherein slicing architecture of the MEC layer is based on a plurality of factors including geographic scope, specificity of services, flexible architecture, and/or implementation of MEC applications as part of a slice access point.

16 . A method for spectrum management in an electromagnetic environment comprising:

at least one sensor detecting signal information from the electromagnetic environment;

wherein the detected signal information is represented in a vector ensemble class for each signal in the electromagnetic environment;

wherein the vector ensemble class includes at least one signal center frequency, bandwidth, signal-to-noise ratio, and/or time duration;

at least one data analysis engine analyzing possible interactions of the detected signal information based on center frequency and bandwidth of at least one signal, thereby creating analyzed data; and

a wireless network resource optimization application, in a Multi-Access Edge Computing (MEC) layer in a network slice in communication with a radio access network (RAN) and a core network, creating a set by adding the possible interactions to the vector ensemble class:

the wireless network resource optimization application creating a customer goals index vector containing binary values that represent whether or not a specific piece of the detected signal information is relevant to satisfying customer goals; and

the wireless network resource optimization application combining the set with the customer goals index vector and using the analyzed data to create actionable data for optimizing the network resources.

17 . The method of claim 16 , further comprising a Multi-Access Edge Computing (MEC) belonging in a network slice.

18 . The method of claim 16 , wherein the at least one sensor and the at least one data analysis engine are provided in a single chip, a single chipset, or on a single circuit board.

Assignments (1)

Continuity (15)

References Cited (292)