Blind Source Separation For Full-Duplex Systems: Potential and Challenges

Blind Source Separation-based Full-Duplex Cognitive Radio

Full-Duplex has been emerged in Cognitive Radio Network in order to avoid the silence period of the Secondary User (SU) during the Spectrum Sensing. SU should monitor the Primary User (PU) activities in order to avoid any harmful interference. The conventional Full-Duplex Cognitive Radio (FDCR) systems are based on the Self-Interference Cancellation, where a problem of Residual Self-Interferenc...

Blind Source Separation for Interference Cancellation in Cdma Systems

Communication is the science of “reliable” transfer of information between two parties, in the sense that the information reaches the intended party with as few errors as possible. Modern wireless systems have many interfering sources that hinder reliable communication. The performance of receivers severely deteriorates in the presence of unknown or unaccounted interference. The goal of a recei...

Blind and semi-blind source separation

Blind wideband source separation

This paper deals with the general problem of separating two independent wideband sources when they are mixed by unknown filters. In order to solve this problem. a backward framework is proposed which is composed of two different stages. The fiist one consists of two linear predictors devoted to improve the source separation, whitening the input signals. Their coefficients are calculated applyin...

Implementation Challenges in Full-Duplex Radio Transceivers

This paper analyzes the linearity and resolution requirements of RF modules and AD converter in full-duplex radio transceivers. It is shown that the linearity of the transmit and receive chains can easily limit the device operation, thus motivating for efficient linear and nonlinear self-interference suppression in the overall receiver chain. Also AD converter requirements can become an impleme...