IP Library › Granted Patent US 12,463,680
Granted Patent B2
US 12,463,680 · App. 17/935,308 · Granted Nov 4, 2025

Cognitive radio system providing operating parameter changes based upon cognitive group hierarchy and related methods

Inventors: Mark D. Rahmes (Melbourne, FL); Chad Lau (Melbourne, FL); David B. Chester (Palm Bay, FL); Jason Calvert (Melbourne, FL); Daniel Garcia (West Melbourne, FL)
Assignee: EAGLE TECHNOLOGY, LLC
H04B1/715H04K3/224H04W72/0453H04B2001/7154
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Quick Facts
Patent No.
US 12,463,680
App. No.
17/935,308
Granted
Nov 4, 2025
Kind
B2
Abstract

A cognitive radio system may include cognitive radio frequency (RF) radios and a controller configured to selectively change at least one operating parameter of the cognitive RF radios based upon a cognitive group hierarchy. The cognitive group hierarchy may include a first group based upon a signal modulation classification, a second group based upon a waveform requirement, a third group based upon an optimal cognitive RF radio path, a fourth group based upon a cognitive RF radio dynamic spectrum allocation, and a fifth group based upon frequency hopping.

Claims (28)

1 . A cognitive radio system comprising:

a plurality of cognitive radio frequency (RF) radios; and

a controller configured to selectively change at least one operating parameter of the plurality of cognitive RF radios based upon a cognitive group hierarchy including a first group based upon a signal modulation classification, a second group based upon a waveform requirement, a third group based upon an optimal cognitive RF radio path, a fourth group based upon a cognitive RF radio dynamic spectrum allocation, and a fifth group based upon frequency hopping.

2 . The cognitive radio system of claim 1 wherein the first group performs signal modulation classification based upon a linear program.

3 . The cognitive radio system of claim 1 wherein the second group defines waveform requirements based upon a linear program.

4 . The cognitive radio system of claim 1 wherein the third group determines an optimal cognitive RF radio path based upon a Dijkstra shortest path graph theoretic model.

5 . The cognitive radio system of claim 4 wherein the Dijkstra shortest path graph theoretic model is based upon edge costs.

6 . The cognitive radio system of claim 1 wherein the fourth group performs cognitive RF radio dynamic spectrum allocation based upon a Shapley value game theoretic model.

7 . The cognitive radio system of claim 6 wherein the Shapley value game theoretic model is based upon cognitive RF radio usage.

8 . The cognitive radio system of claim 1 wherein the fifth group performs frequency hopping based upon a linear program.

9 . A controller for a cognitive radio system comprising:

a memory and a processor cooperating with the memory to selectively change at least one operating parameter of a plurality of cognitive radio frequency (RF) radios based upon a cognitive group hierarchy;

the cognitive group hierarchy including a first group based upon a signal modulation classification, a second group based upon a waveform requirement, a third group based upon an optimal cognitive RF radio path, a fourth group based upon a cognitive RF radio dynamic spectrum allocation, and a fifth group based upon frequency hopping.

10 . The controller for a cognitive radio system of claim 9 wherein the first group performs signal modulation classification based upon a linear program.

11 . The controller for a cognitive radio system of claim 9 wherein the second group defines waveform requirements based upon a linear program.

12 . The controller for a cognitive radio system of claim 9 wherein the third group determines an optimal cognitive RF radio path based upon a Dijkstra shortest path graph theoretic model.

13 . The controller for a cognitive radio system of claim 12 wherein the Dijkstra shortest path graph theoretic model is based upon edge costs.

14 . The controller for a cognitive radio system of claim 9 wherein the fourth group performs cognitive RF radio dynamic spectrum allocation based upon a Shapley value game theoretic model.

15 . The controller for a cognitive radio system of claim 14 wherein the Shapley value game theoretic model is based upon cognitive RF radio usage.

16 . The controller for a cognitive radio system of claim 9 wherein the fifth group performs frequency hopping based upon a linear program.

17 . A communication method comprising:

operating a plurality of cognitive radio frequency (RF) radios; and

selectively changing at least one operating parameter of the plurality of cognitive RF radios based upon a cognitive group hierarchy including a first group based upon a signal modulation classification, a second group based upon a waveform requirement, a third group based upon an optimal cognitive RF radio path, a fourth group based upon a cognitive RF radio dynamic spectrum allocation, and a fifth group based upon frequency hopping.

18 . The communication method of claim 17 wherein the first group performs signal modulation classification based upon a linear program.

19 . The communication method of claim 17 wherein the second group defines waveform requirements based upon a linear program.

20 . The communication method of claim 17 wherein the third group determines an optimal cognitive RF radio path based upon a Dijkstra shortest path graph theoretic model.

21 . The communication method of claim 17 wherein the fourth group performs cognitive RF radio dynamic spectrum allocation based upon a Shapley value game theoretic model.

22 . The communication method of claim 17 wherein the fifth group performs frequency hopping based upon a linear program.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 27, 2022
From: RAHMES, MARK D.; LAU, CHAD; CHESTER, DAVID B.; CALVERT, JASON; GARCIA, DANIEL
To: EAGLE TECHNOLOGY, LLC
Reel/Frame 061228/0800 →
Continuity (1)
Related Publication 20240106494A1 · Mar 28, 2024
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