Granted Patent B2

US 12,689,909 · App. 19/348,073 · Granted Jul 21, 2026

Inventors: Fernando Murias (Tysons Corner, VA); Armando Montalvo (Winter Garden, FL); David William Kleinbeck (Lees Summit, MO); Ronald C. Dzierwa (Baltimore, MD); Daniel Carbajal (Severna Park, MD)

Assignee: Digital Global Systems, Inc.

H04W16/14H04B17/20H04B17/23H04B17/26H04B17/29H04B17/309H04B17/318H04W24/08H04W24/10H04W72/53H04W24/04

Abstract

Claims (42)

1 . A system for real-time dynamic radio frequency (RF) spectrum allocation and/or reallocation, comprising:

at least one receiver;

at least one processor coupled with at least one memory; and

a blockchain platform;

wherein the at least one receiver is operable to create and index power level measurements within an RF environment;

wherein the at least one receiver is in communication with the at least one processor coupled with the at least one memory;

wherein the system is operable to form a knowledge map based on the power level measurements within the RF environment;

wherein the system is operable to create impressions of the RF environment based on the knowledge map using a machine learning algorithm and update RF awareness data based on the impressions of the RF environment;

wherein the system is operable to identify a scenario for dynamic spectrum sharing based on the RF awareness data;

wherein the system includes an event compositor operable to store processed data in a database based on a minimum number of consecutive scans in which at least one signal must be observed;

wherein the system is operable to set an energy threshold based on a sensitivity parameter optimized by the event compositor to detect the at least one signal;

wherein the blockchain platform is operable to execute a smart contract to allocate and/or reallocate at least one portion of an RF spectrum based on the identified scenario;

wherein the blockchain platform utilizes sidechains and consortium blockchains for dynamic spectrum sharing;

wherein the sidechains run parallel to a primary blockchain and are operable to be utilized in the execution of the smart contract for specific spectrum bands, regulatory jurisdictions and/or clients;

wherein the blockchain platform is operable to bridge with both public and private blockchains based on a client and a situation;

wherein the blockchain platform is operable to determine a compensation for a first party based on the smart contract and the allocation and/or reallocation of the RF spectrum;

wherein the compensation is based in part on services provided with the allocation and/or reallocation of the RF spectrum, a classification of the at least one signal, and/or computational resources used in the allocation and/or reallocation of the RF spectrum; and

wherein the first party and a second party must agree to the compensation based on a set agreement for implementation of the smart contract.

2 . The system of claim 1 , wherein the system is operable to sweep and learn the RF environment to create the RF awareness data.

3 . The system of claim 1 , wherein the system is operable to create metadata for the RF awareness data based on customer goals.

4 . The system of claim 3 , wherein the system is operable to create actionable data for the identified scenario based on the metadata.

5 . The system of claim 1 , wherein the compensation is further based on signal parameters from the RF awareness data.

6 . The system of claim 1 , wherein the allocation and/or reallocation of the RF spectrum and/or the compensation is determined based on a priority of the at least one signal.

7 . The system of claim 1 , wherein the allocation and/or reallocation of the RF spectrum and/or the compensation is determined based on a priority of the services.

8 . A system for real-time dynamic radio frequency (RF) spectrum allocation and/or reallocation, comprising:

at least one processor coupled with at least one memory; and

a blockchain platform;

wherein the system is operable to form a knowledge map based on power level measurements within an RF environment;

wherein the system is operable to create impressions of the RF environment based on the knowledge map using a machine learning algorithm and update RF awareness data based on the impressions of the RF environment;

wherein the system is operable to identify a scenario for dynamic spectrum sharing based on the RF awareness data;

wherein the system includes an event compositor operable to store processed data in a database based on a minimum number of consecutive scans in which at least one signal must be observed;

wherein the system is operable to set an energy threshold based on a sensitivity parameter optimized by the event compositor to detect the at least one signal;

wherein the blockchain platform is operable to execute a smart contract to allocate and/or reallocate at least one portion of an RF spectrum based on the identified scenario for the dynamic spectrum sharing;

wherein the blockchain platform is operable to determine a compensation for a first party based on the RF spectrum allocation and/or reallocation, computational resources used, services provided to a second party, and signal parameters from the RF awareness data;

wherein the blockchain platform utilizes sidechains and consortium blockchains for the dynamic spectrum sharing;

wherein the sidechains run parallel to a primary blockchain, and are operable to be utilized in the execution of the smart contract for specific spectrum bands, regulatory jurisdictions, specific services and/or clients; and

wherein the compensation is further based on a classification of the at least one signal and/or a category of the at least one signal.

9 . The system of claim 8 , wherein the system is operable to determine the compensation based on a priority of the at least one signal.

10 . The system of claim 8 , wherein the system is further operable to provide the compensation to the first party.

11 . The system of claim 8 , further comprising at least one receiver operable to create and index the power level measurements within the RF environment.

12 . The system of claim 8 , wherein the system is operable to sweep and learn the RF environment based on statistical learning techniques to create the RF awareness data.

13 . The system of claim 8 , wherein the system is operable to provide metadata for the RF awareness data based on customer goals to create actionable data to identify the scenario for the RF spectrum allocation and/or reallocation.

Assignments (3)

Continuity (24)

References Cited (400)