Meta platforms technologies, llc (20240211676). SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE ASSISTED ANTENNA DESIGN simplified abstract

SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE ASSISTED ANTENNA DESIGN

Organization Name

meta platforms technologies, llc

Inventor(s)

Weiping Dou of Cupertino CA (US)

Ulf Jan Ove Mattsson of Campbell CA (US)

Peter Eli Renner of San Jose CA (US)

Jiang Zhu of Cupertino CA (US)

Geng Ye of Union City CA (US)

Yuandong Tian of San Carlos CA (US)

Andrew Cohen of San Francisco CA (US)

Beidi Chen of Pittsburgh PA (US)

SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE ASSISTED ANTENNA DESIGN - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240211676 titled 'SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE ASSISTED ANTENNA DESIGN

The abstract of the patent application describes a computer-implemented method for designing an antenna architecture based on design specifications, requirements, parameterization, and bounds, using global optimization and local tuning algorithms.

• Receiving a set of design specifications, requirements, parameterization, and bounds related to antenna performance.
• Determining a design for the antenna architecture using a global optimization algorithm and a local tuning algorithm.
• The method aims to optimize the antenna structure based on specified parameters and constraints.

Key Features and Innovation:

• Utilizes design specifications and requirements to optimize antenna architecture.
• Incorporates parameterization and bounds to guide the design process.
• Implements global optimization and local tuning algorithms for efficient design.

Potential Applications:

• Telecommunications industry for improving antenna performance.
• IoT devices requiring customized antenna designs.
• Satellite communication systems for enhanced signal reception.

Problems Solved:

• Streamlines the antenna design process.
• Ensures the antenna architecture meets specified requirements.
• Optimizes antenna performance within given constraints.

Benefits:

• Enhanced antenna performance.
• Customized design solutions.
• Efficient and effective design process.

Commercial Applications:

• Antenna manufacturers can use this method to create tailored designs for clients.
• Telecommunication companies can improve signal reception with optimized antenna architectures.

Questions about Antenna Design: 1. How does the method ensure the antenna design meets the specified requirements? 2. What are the advantages of using global optimization and local tuning algorithms in antenna design?

Frequently Updated Research: There may be ongoing research in the field of antenna design optimization using advanced algorithms and parameterization techniques. Stay updated on the latest developments in this area for potential improvements in antenna architecture design.

Original Abstract Submitted

a disclosed computer-implemented method may include (1) receiving (a) a set of design specifications associated with an antenna performance characteristic, (b) a set of requirements for an antenna architecture, (c) a parameterization that describes parameters of an antenna structure, and (d) a set of bounds for the parameterization, and (2) determining, based on the set of design specifications, the set of requirements, the parameterization, and the set of bounds, and in accordance with a global optimization algorithm and a local tuning algorithm, a design for the antenna architecture. various other methods, systems, and computer-readable media are also disclosed.