18257566. MACHINE LEARNING ASSISTED PREDICTIVE RETRANSMISSION FEEDBACK simplified abstract (QUALCOMM Incorporated)
Contents
MACHINE LEARNING ASSISTED PREDICTIVE RETRANSMISSION FEEDBACK
Organization Name
Inventor(s)
MACHINE LEARNING ASSISTED PREDICTIVE RETRANSMISSION FEEDBACK - A simplified explanation of the abstract
This abstract first appeared for US patent application 18257566 titled 'MACHINE LEARNING ASSISTED PREDICTIVE RETRANSMISSION FEEDBACK
Simplified Explanation
The patent application describes methods, systems, and devices for wireless communications. The abstract explains that the method involves transmitting a capability parameter from a user equipment (UE) to a base station, indicating the UE's predictive retransmission feedback capabilities. The UE then receives an activation indicator from the base station, indicating that a predictive retransmission feedback procedure is enabled. The UE receives data from the base station and computes a predictive retransmission feedback associated with the data, based on the activation indicator, before completing the decoding of the data.
- The patent application focuses on improving wireless communications by implementing predictive retransmission feedback capabilities.
- The method involves the UE transmitting a capability parameter to the base station, indicating its predictive retransmission feedback capabilities.
- The UE receives an activation indicator from the base station, indicating that a predictive retransmission feedback procedure is enabled.
- Data is received from the base station, and the UE computes a predictive retransmission feedback associated with the data, based on the activation indicator, before completing the decoding of the data.
Potential Applications:
- This technology can be applied in various wireless communication systems, such as cellular networks, Wi-Fi networks, and satellite communication systems.
- It can improve the reliability and efficiency of data transmission in wireless networks, leading to better user experiences and faster data transfer rates.
- The predictive retransmission feedback capabilities can be utilized in applications that require real-time data transmission, such as video streaming, online gaming, and teleconferencing.
Problems Solved:
- The technology addresses the problem of unreliable data transmission in wireless networks, where packet loss and errors can occur due to various factors like signal interference and network congestion.
- By implementing predictive retransmission feedback capabilities, the system can proactively identify and retransmit lost or corrupted data packets, improving overall data transmission reliability.
Benefits:
- The technology improves the quality of wireless communications by reducing packet loss and errors, resulting in more reliable and seamless data transmission.
- It enhances the efficiency of data transmission by minimizing the need for retransmissions, thereby reducing network congestion and improving overall network capacity.
- Users can experience faster data transfer rates and improved performance in applications that require real-time data transmission, leading to better user satisfaction.
Original Abstract Submitted
Methods, systems, and devices for wireless communications are described. The method includes transmitting, to a base station, a capability parameter indicating one or more predictive retransmission feedback capabilities of the UE, receiving, from the base station, an activation indicator that indicates a predictive retransmission feedback procedure is enabled, receiving data from the base station, and transmitting a predictive retransmission feedback associated with the data to the base station, the predictive retransmission feedback being computed, in accordance with the activation indicator, prior to completing a decoding of the data.
