18358732. MEASUREMENT COMPRESSION FOR MULTIPLE REFERENCE SIGNALS simplified abstract (QUALCOMM Incorporated)
MEASUREMENT COMPRESSION FOR MULTIPLE REFERENCE SIGNALS
Organization Name
Inventor(s)
Hua Wang of Basking Ridge NJ (US)
June Namgoong of San Diego CA (US)
Tianyang Bai of Somerville NJ (US)
Junyi Li of Fairless Hills PA (US)
MEASUREMENT COMPRESSION FOR MULTIPLE REFERENCE SIGNALS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18358732 titled 'MEASUREMENT COMPRESSION FOR MULTIPLE REFERENCE SIGNALS
Simplified Explanation
- User equipment (UE) can receive multiple reference signals (RSs). - The UE measures the multiple RSs to generate measurements. - The measurements are encoded using a machine learning model to generate codewords representing a quantized version of the measurements. - The UE transmits the codewords.
Potential Applications
This technology can be applied in: - Wireless communication systems - Internet of Things (IoT) devices - Autonomous vehicles
Problems Solved
- Efficient utilization of wireless resources - Improved signal reception and decoding accuracy - Enhanced communication reliability in challenging environments
Benefits
- Increased data transmission efficiency - Enhanced network performance - Improved user experience with faster and more reliable communication.
Original Abstract Submitted
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive multiple reference signals (RSs). The UE may measure the multiple RSs to generate measurements for the multiple RSs. The UE may encode the measurements using a machine learning model to generate codewords representing a quantized version of the measurements. The UE may transmit the codewords. Numerous other aspects are described.
