Perfomance Evaluation of Phase Noise reduction in MIMO FBMC-OQAM Systems

Abstract

The 5G is mentioned as the Next generation cellular networks provides higher speed than the 4G systems. It is expected to have Extreme mobile broadband (xMBB) and higher multimedia experience. For this situation, the Millimeter wave communication has been introduced for the fifth-generation wireless system. Mmwave bands have bandwidth of 10 times greater than the 4G mobile systems. It has large spectral efficiency and very well growth in data services. Mmwave has overcome bandwidth shortage and meet a demand in traffic. The Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier technique adopted for latest wireless systems. It is a sync-shaped spectrum produces higher out of band radiations, PAPR, timing and frequency offset and reduces the spectral efficiency. To overcome these problems, the new modulation scheme Filter Bank Multi Carrier (FBMC) has been proposed. The FBMC/OQAM is a strong candidate for future fifth generation wireless systems when compared to OFDM. But, the major drawbacks in FBMC/OQAM systems is Phase noise. The Phase Noise (PN) occurs due to the imperfections in local oscillators. This paper deals with reducing phase noise in MIMO-FBMC OQAM using Extended Kalman Filter estimation algorithm in Mmwave frequencies.