18479535. METHOD AND APPARATUS FOR PROCESSING SIGNAL IN WIRELESS COMMUNICATION SYSTEM simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 METHOD AND APPARATUS FOR PROCESSING SIGNAL IN WIRELESS COMMUNICATION SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR PROCESSING SIGNAL IN WIRELESS COMMUNICATION SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this method compare to existing techniques for compensating for signal distortion in communication systems?
- 1.11 What are the potential challenges or limitations of implementing this method in real-world communication systems?
- 1.12 Original Abstract Submitted
METHOD AND APPARATUS FOR PROCESSING SIGNAL IN WIRELESS COMMUNICATION SYSTEM
Organization Name
Inventor(s)
METHOD AND APPARATUS FOR PROCESSING SIGNAL IN WIRELESS COMMUNICATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18479535 titled 'METHOD AND APPARATUS FOR PROCESSING SIGNAL IN WIRELESS COMMUNICATION SYSTEM
Simplified Explanation
The patent application abstract describes a method for compensating for distortion in a digital signal in a 5G or 6G communication system. The method involves receiving transmission spectrum information and timing window information from a base station, estimating timing skew and reception signal-to-noise ratio, and then compensating for the distortion based on these estimates.
- The method involves receiving transmission spectrum information and timing window information from a base station.
- It includes estimating timing skew and reception signal-to-noise ratio of the digital signal.
- The method compensates for distortion in the digital signal based on the estimated timing skew and reception SNR.
Potential Applications
This technology can be applied in various industries and sectors, including telecommunications, IoT, autonomous vehicles, and smart cities.
Problems Solved
This technology addresses the issue of distortion in digital signals, which can affect the quality and reliability of communication systems in high-speed networks like 5G and 6G.
Benefits
The benefits of this technology include improved data transmission rates, enhanced signal quality, increased reliability, and overall better performance of communication systems in next-generation networks.
Potential Commercial Applications
This technology can be commercialized by telecommunications companies, network equipment manufacturers, IoT device makers, and other industries that rely on high-speed communication systems.
Possible Prior Art
One possible prior art could be the use of similar techniques in previous generations of communication systems, such as 4G LTE, to compensate for signal distortion and improve overall performance.
Unanswered Questions
How does this method compare to existing techniques for compensating for signal distortion in communication systems?
The article does not provide a direct comparison with existing techniques, leaving room for further research and analysis to determine the advantages and limitations of this method.
What are the potential challenges or limitations of implementing this method in real-world communication systems?
The article does not address the potential challenges or limitations of implementing this method, such as compatibility issues, cost implications, or scalability concerns. Further investigation is needed to assess these aspects.
Original Abstract Submitted
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate than 4G communication systems such as LTE systems. A method performed by a user equipment (UE) in a wireless communication system may comprise receiving a signal, converting the signal into a digital signal, receiving, from a base station, transmission spectrum information for the UE and information for a time window, estimating a timing skew and a reception signal-to-noise ratio (SNR) of the digital signal based on the information for the time window and the transmission spectrum information, and compensating for a distortion of the digital signal based on the estimated timing skew and the reception SNR.