IP Library Granted Patent US 12,101,639
Granted Patent B2
US 12,101,639 · App. 18/428,409 · Granted Sep 24, 2024

System, method, and apparatus for providing optimized network resources

Inventor: Armando Montalvo (Winter Garden, FL)
Assignee: DIGITAL GLOBAL SYSTEMS, INC.
H04W16/10H04W24/02H04W24/08H04W24/10H04W28/0268H04W28/24
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,101,639
App. No.
18/428,409
Granted
Sep 24, 2024
Kind
B2
Abstract

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and/or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

Claims (45)

1. A system for spectrum utilization management in a wireless network comprising:

a Multi-Access Edge Computing (MEC) layer in a network slice;

a radio access network (RAN);

a core network; and

a wireless network resource optimization application in the MEC layer;

wherein the MEC layer is in communication with the RAN and the core network;

wherein the wireless network resource optimization application is operable to create a customer goals index vector based on at least one rule and/or at least one policy;

wherein the wireless network resource optimization application utilizes a constraint vector;

wherein the customer goals index vector is a vector of binary values;

wherein network resources of the wireless network are operable to be optimized based on the customer goals index vector and the constraint vector; and

wherein the MEC layer is operable to provide traffic steering to route network traffic based on a geographic location of a user equipment (UE).

2. The system of claim 1 , further comprising a Policy Control Function (PCF), wherein the MEC layer is operable to send a request to the PCF for the traffic steering.

3. The system of claim 2 , wherein the PCF is operable to analyze the request and form policies in response to the request, wherein the policies in response to the request apply to at least one protocol data unit (PDU) session.

4. The system of claim 2 , further comprising a Session Management Function (SMF), wherein the PCF is operable to provide routing rules to the SMF.

5. The system of claim 1 , further comprising an Application Function (AF) operable to configure rules to provide the traffic steering.

6. The system of claim 1 , wherein the MEC layer is operable to provide the traffic steering to route traffic to targeted applications in the network slice or a distributed cloud.

7. The system of claim 1 , further comprising at least one application hosted on a MEC application server, wherein the UE includes an application instance of the at least one application from a first MEC host, wherein the application instance of the at least one application is operable to be transferred to a second MEC host upon a change of location of the UE without disruption of service of the at least one application to the UE.

8. The system of claim 1 , wherein slicing architecture of the MEC layer is based on geographic scope.

9. The system of claim 1 , further comprising a geolocation engine in communication with the wireless network resource optimization application operable to provide the geographic location of the UE.

10. The system of claim 1 , wherein the MEC layer is operable to determine the geographic location of the UE.

11. The system of claim 1 , wherein the MEC layer is operable to provide a MEC service consuming application via a MEC location service.

12. The system of claim 1 , wherein the MEC layer is operable to transmit the geographic location to the RAN, and wherein the RAN is a 5G network.

13. The system of claim 1 , wherein the system is operable to use the geographic location of the UE to provide optimization of service or location-based services to the UE.

14. A system for spectrum utilization management in a wireless network comprising:

a Multi-Access Edge Computing (MEC) layer in a network slice;

a radio access network (RAN);

a core network; and

a wireless network resource optimization application in the MEC layer;

wherein the MEC layer is in communication with the RAN and the core network;

wherein the wireless network resource optimization application is operable to create a customer goals index vector based on at least one rule and/or at least one policy;

wherein the network resources of the wireless network are operable to be optimized based on the customer goals index vector;

wherein the customer goals index vector is a vector of binary values; and

wherein the MEC layer is operable to provide traffic steering to route network traffic based on a geographic location of a device.

15. The system of claim 14 , further comprising a Network Slice Selection Function (NSSF) operable to select suitable network slice instances for user equipment (UE) and/or applications.

16. The system of claim 14 , wherein the MEC layer is operable to determine a location of a user equipment (UE) and transmit the location of the UE to the RAN, wherein the RAN is a 5G network.

17. The system of claim 16 , wherein the system is operable to use the location of the UE to provide optimization of service or location-based services to the UE.

18. A method for spectrum utilization management in a wireless network comprising:

a wireless network resource optimization application creating a customer goals index vector based on at least one rule and/or at least one policy;

the wireless network resource optimization application optimizing network resources of the wireless network based on the customer goals index vector and a constraint vector; and

a Multi-Access Edge Computing (MEC) layer providing traffic steering to route network traffic based on a geographic location of a user equipment (UE);

wherein the wireless network resource optimization application is in the MEC layer;

wherein the customer goals index vector is a vector of binary values; and

wherein the MEC layer is in communication with a radio access network (RAN) and a core network.

19. The method of claim 18 , further comprising the MEC layer determining the geographic location of the UE and transmitting the geographic location of the UE to the RAN, wherein the RAN is a 5G network.

20. The method of claim 18 , further comprising transferring an application instance of at least one application from a first MEC host to a second MEC host for the UE upon a change in the geographic location of the UE.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 20, 2024
From: MONTALVO, ARMANDO
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 066499/0234 →