18392965. SYSTEMS AND METHODS FOR ANTENNA DESIGN simplified abstract (Meta Platforms Technologies, LLC)

SYSTEMS AND METHODS FOR ANTENNA DESIGN

Organization Name

Meta Platforms Technologies, LLC

Inventor(s)

Weiping Dou of Cupertino CA (US)

Yuandong Tian of San Carlos CA (US)

Andrew Cohen of San Francisco CA (US)

Jiang Zhu of Cupertino CA (US)

Geng Ye of Union City CA (US)

Ulf Jan Ove Mattsson of Campbell CA (US)

Peter Eli Renner of San Jose CA (US)

Beidi Chen of Pittsburgh PA (US)

Xiaomeng Yang of Sunnyvale CA (US)

Kevin Stone of San Luis Obispo CA (US)

Slawomir Marcin Koziel of Kopavogur (IS)

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

This abstract first appeared for US patent application 18392965 titled 'SYSTEMS AND METHODS FOR ANTENNA DESIGN

The disclosed computer-implemented method involves using a machine-learning model to generate a set of antenna designs, tokenizing each design, predicting the frequency response for each design, comparing the responses, and selecting the best design based on performance criteria.

• Machine-learning model used to generate antenna designs
• Tokenization of antenna designs for analysis
• Prediction of frequency response for each design
• Comparison of frequency responses
• Selection of best design based on performance threshold

Potential Applications: - Antenna design optimization - Wireless communication systems - IoT devices

Problems Solved: - Streamlining antenna design process - Improving antenna performance - Enhancing wireless communication efficiency

Benefits: - Faster and more efficient antenna design - Enhanced wireless communication capabilities - Cost-effective solutions for IoT devices

Commercial Applications: Title: "Optimized Antenna Design Technology for Wireless Communication Systems" This technology can be utilized in industries such as telecommunications, IoT, and aerospace for developing high-performance antennas for various applications. The market implications include improved signal quality, increased data transmission speeds, and reduced interference in wireless networks.

Questions about Antenna Design Technology: 1. How does machine learning improve the antenna design process? Machine learning helps analyze vast amounts of data to generate optimized antenna designs efficiently.

2. What are the key factors considered in selecting the best antenna design? The frequency response, performance threshold, and overall efficiency of the antenna design are crucial factors in the selection process.

Original Abstract Submitted

The disclosed computer-implemented method may include generating, using a machine-learning model of a computing device, a set of antenna designs. The method may also include tokenizing, by the computing device, each antenna design in the generated set of antenna designs. Additionally, the method may include predicting, by the machine-learning model of the computing device, a frequency response for each tokenized antenna design. Furthermore, the method may include comparing, by the computing device, the frequency response for each tokenized antenna design. Finally, the method may include selecting, by the computing device based on the comparison, an antenna design that meets a performance threshold for the frequency response. Various other methods, systems, and computer-readable media are also disclosed.