18069193. FRACTIONAL BAND SELF-INTERFERENCE CANCELLATION FOR FULL-DUPLEX COMMUNICATIONS simplified abstract (QUALCOMM Incorporated)
Contents
FRACTIONAL BAND SELF-INTERFERENCE CANCELLATION FOR FULL-DUPLEX COMMUNICATIONS
Organization Name
Inventor(s)
Shubham Ahuja of San Diego CA (US)
Min Soo Sim of San Diego CA (US)
Wooseok Nam of San Diego CA (US)
Alexander Dorosenco of El Cajon CA (US)
FRACTIONAL BAND SELF-INTERFERENCE CANCELLATION FOR FULL-DUPLEX COMMUNICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18069193 titled 'FRACTIONAL BAND SELF-INTERFERENCE CANCELLATION FOR FULL-DUPLEX COMMUNICATIONS
Simplified Explanation: The patent application discusses a method for a User Equipment (UE) to identify fractional bands within a bandwidth associated with Full Duplex (FD) communication, sample signals within these bands, estimate Self-Interference Cancellation (SIC) coefficients, and perform SIC for the FD communication.
Key Features and Innovation:
- UE identifies fractional bands within a bandwidth for FD communication.
- Signals are sampled within these fractional bands.
- SIC coefficients are estimated based on the sampled signals.
- SIC is performed for the FD communication using the estimated coefficients.
- Sampling may occur at a rate lower than a threshold.
- An auxiliary hardware path with an auxiliary ADC may be used for sampling.
- Sampling may involve decimation or rotation techniques.
Potential Applications: This technology can be applied in wireless communication systems, particularly in improving the efficiency and performance of FD communication.
Problems Solved: This technology addresses the challenge of self-interference in FD communication systems, enabling better signal processing and communication quality.
Benefits:
- Enhanced signal processing in FD communication.
- Improved efficiency and performance of wireless systems.
- Reduction of self-interference for clearer communication.
Commercial Applications: Potential commercial applications include telecommunications, IoT devices, and any wireless systems requiring efficient signal processing and reduced self-interference.
Prior Art: Readers can explore prior research on SIC techniques in wireless communication systems to understand the evolution of this technology.
Frequently Updated Research: Stay updated on advancements in SIC algorithms and techniques for further improvements in FD communication systems.
Questions about FD Communication: 1. How does this technology improve signal processing in FD communication systems? 2. What are the potential challenges in implementing SIC for FD communication?
Original Abstract Submitted
A UE may identify one or more fractional bands in relation to a bandwidth associated with FD communication. Each fractional band in the one or more fractional bands may be a fraction of the bandwidth. The UE may sample at least one signal at the one or more fractional bands. The UE may estimate one or more SIC coefficients based on the at least one signal. The UE may perform SIC for the bandwidth associated with the FD communication based on the estimated one or more SIC coefficients. In one configuration, the at least one signal may be sampled with a sampling rate less than a threshold. In one configuration, the at least one signal may be sampled using an auxiliary hardware path including an auxiliary ADC. In one configuration, the sampling the at least one signal may be associated with decimation or rotation.
