Efficient spectrum harvesting using adaptive co-channel interference suppression based on polynomial classifier

Abstract

This paper discusses the problem of adaptively suppressing co-channel interference in a cellular wireless receiver. The technique makes use of statistical data to design a polynomial based classifier which can be used to identify the number of co-channel interferers. The result of detection is used to adaptively vary the order of interference suppression filter and the length of overall channel impulse response. The polynomial classifier is based on the eigenvalues of error covariance matrix and signal-to-interference-plus-noise ratio (SINR). An improvement of 1.5 dB is seen in receiver performance. Further, the parameters so derived for the classifier can be used to enhance the reliability of channel state information in more advanced communication systems, preferably LTE-A or 5G.