Qualcomm incorporated (20240187871). SIGNALING FOR BIDIRECTIONAL PERCEPTION-ASSISTANCE simplified abstract

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SIGNALING FOR BIDIRECTIONAL PERCEPTION-ASSISTANCE

Organization Name

qualcomm incorporated

Inventor(s)

Vasanthan Raghavan of West Windsor Township NJ (US)

Junyi Li of Fairless Hills PA (US)

Kapil Gulati of Belle Mead NJ (US)

SIGNALING FOR BIDIRECTIONAL PERCEPTION-ASSISTANCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240187871 titled 'SIGNALING FOR BIDIRECTIONAL PERCEPTION-ASSISTANCE

Simplified Explanation

The patent application describes techniques for wireless communication, specifically focusing on perception-based adaptive beam weight learning for improved performance between user equipment (UE) and a base station over a wireless communication medium.

  • User equipment (UE) determines that perception-based adaptive beam weight learning would enhance wireless communication performance with a base station.
  • UE transmits an indication to a network node for the base station to perform perception-based adaptive beam weight learning procedures for wireless communication over the wireless medium.

Potential Applications

The technology can be applied in various wireless communication systems, such as 5G networks, IoT devices, and smart city infrastructure.

Problems Solved

1. Enhances wireless communication performance between UE and base stations. 2. Improves signal quality and reliability in wireless networks.

Benefits

1. Increased data transmission speeds. 2. Enhanced network coverage and connectivity. 3. Improved overall user experience in wireless communication.

Potential Commercial Applications

"Enhancing Wireless Communication Performance through Perception-Based Adaptive Beam Weight Learning" can be utilized in telecommunications companies, network equipment manufacturers, and IoT device providers to optimize wireless communication systems.

Possible Prior Art

There may be prior art related to adaptive beamforming techniques in wireless communication systems, but specific examples are not provided in this patent application.

Unanswered Questions

How does this technology impact battery life in user equipment (UE)?

The patent application does not address the potential impact of perception-based adaptive beam weight learning on the battery life of user equipment. This aspect is crucial for mobile devices that rely on wireless communication for extended periods.

What are the potential security implications of implementing perception-based adaptive beam weight learning in wireless communication systems?

The patent application does not discuss the security considerations associated with perception-based adaptive beam weight learning. It is essential to evaluate any vulnerabilities or risks that may arise from implementing such techniques in wireless networks.


Original Abstract Submitted

disclosed are techniques for wireless communication. in an aspect, a user equipment (ue) determines that a perception-based approach to adaptive beam weight learning would provide improved performance of wireless communication with a base station over a wireless communication medium relative to non-perception-based approaches to adaptive beam weight learning, and transmits, to a network node, an indication for the base station to perform perception-based adaptive beam weight learning procedures for the wireless communication with the base station over the wireless communication medium.