QUALCOMM Incorporated (20240297732). UNEQUAL ERROR PROTECTION POLAR CODES FOR LOW LATENCY COMMUNICATIONS simplified abstract
Contents
- 1 UNEQUAL ERROR PROTECTION POLAR CODES FOR LOW LATENCY COMMUNICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 UNEQUAL ERROR PROTECTION POLAR CODES FOR LOW LATENCY COMMUNICATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Polar Coding for Wireless Communications
- 1.13 Original Abstract Submitted
UNEQUAL ERROR PROTECTION POLAR CODES FOR LOW LATENCY COMMUNICATIONS
Organization Name
Inventor(s)
Peer Berger of Hod Hasharon (IL)
Shay Landis of Hod Hasharon (IL)
Gideon Shlomo Kutz of Ramat Hasharon (IL)
UNEQUAL ERROR PROTECTION POLAR CODES FOR LOW LATENCY COMMUNICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240297732 titled 'UNEQUAL ERROR PROTECTION POLAR CODES FOR LOW LATENCY COMMUNICATIONS
Simplified Explanation
The patent application describes methods, systems, and devices for wireless communications using polar coding to increase reliability for extended reality (XR) and video applications by prioritizing important information bits.
- Polar coding involves assigning bits to different bit-channels and encoding them to increase reliability for important bits.
- Information bits of a stream are sorted based on priority, then mapped to the most reliable bit-channels of a polar encoder.
- Errors in transmission are more likely to occur in less important bits, ensuring that important information is successfully received and decoded.
Key Features and Innovation
- Prioritization of important information bits for increased reliability in wireless communications.
- Sorting and mapping of information bits to reliable bit-channels using polar coding.
- Enhanced reliability for XR and video applications by focusing on important aspects of the stream.
Potential Applications
The technology can be applied in various wireless communication systems, particularly for XR and video applications where reliability is crucial.
Problems Solved
The technology addresses the challenge of ensuring reliable transmission of important information bits in wireless communications, especially for XR and video applications.
Benefits
- Increased reliability for important information bits in wireless communications.
- Enhanced user experience and perception for XR and video applications.
- Improved error correction and decoding for critical data streams.
Commercial Applications
- Potential commercial uses include wireless communication systems for XR devices, video streaming services, and other applications requiring reliable data transmission.
- Market implications include improved performance and user satisfaction in wireless communication products and services.
Prior Art
Further research can be conducted to explore prior art related to polar coding in wireless communications and its application in XR and video streaming technologies.
Frequently Updated Research
Stay informed about the latest developments in polar coding techniques for wireless communications and their impact on XR and video applications.
Questions about Polar Coding for Wireless Communications
How does polar coding improve reliability in wireless communications?
Polar coding assigns bits to different channels and prioritizes important information for increased reliability.
What are the potential applications of polar coding in XR and video streaming?
Polar coding can enhance reliability for critical data streams in XR and video applications, improving user experience and perception.
Original Abstract Submitted
methods, systems, and devices for wireless communications are described. polar coding involves assigning bits to different bit-channels, and encoding the bits such that certain bit-channels (e.g., polar channels) are polarized to increased reliability, while other bit-channels are polarized to decreased reliability. to ensure that polar codes for extended reality (xr) and video applications have increased reliability for the aspects of an xr stream or video code that are most important, the information bits of a stream may be sorted based on priority or importance. then the sorted information bits may be mapped to the most reliable bit-channels of a polar encoder. any errors in the transmission may therefore be most likely to occur in the less important bits. accordingly, in the case of xr, the information bits that are most important to user experience/perception are the most likely to be successfully received and decoded at the receiver.
