Patents
US 12744569 B2: Reinforcement learning of beam codebooks for millimeter wave and terahertz MIMO systems
- Granted
- 2026-09-22
- Filed
- 2022-07-12 application 18578896
- Type
- Utility · 20 claims
- Elsewhere
- Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗
Abstract
Reinforcement learning of beam codebooks for millimeter wave and terahertz multiple-input-multiple-output (MIMO) systems is provided. Millimeter wave (mmWave) and terahertz (THz) MIMO systems rely on predefined beamforming codebooks for both initial access and data transmission. These predefined codebooks, however, are commonly not optimized for specific environments, user distributions, and/or possible hardware impairments. To overcome these limitations, this disclosure develops a deep reinforcement learning framework that learns how to optimize the codebook beam patterns relying only on receive power measurements. The developed model learns how to adapt the beam patterns based on the surrounding environment, user distribution, hardware impairments, and array geometry. Further, this approach does not require any knowledge about the channel, radio frequency (RF) hardware, or user positions.
Source: PTBLXML, file of 2026-09-22 (ipgb20260922.xml).
Assignees
| Assignee | Type | Place | Also on furp.org | Source |
|---|---|---|---|---|
| ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY 1,571 patents | US company or organization | Scottsdale, AZ | PTBLXML, file of 2026-09-22 |
Inventors
| Inventor | Place | Patents | Person page | Source |
|---|---|---|---|---|
| Ahmed Alkhateeb | Chandler, AZ | 16 | PTBLXML, file of 2026-09-22 | |
| Yu Zhang | Tempe, AZ | PTBLXML, file of 2026-09-22 | ||
| Muhammad Alrabeiah | Tempe, AZ | 4 | PTBLXML, file of 2026-09-22 |
CPC categories
| Subclass | Category | First group | Source |
|---|---|---|---|
| H04B | Transmission | H04B7/0617 | PTBLXML, file of 2026-09-22 |
Cooperative Patent Classification, as currently assigned (one row per subclass).
Assignments and security interests
No recorded assignments or security interests on file for this patent.
USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.