Design and implementation of programmable MIMO FFT OFDM and MIMO DWT OFDM/MIMO FBMC on an Embedded Platform Architecture for 5G applications

Abstract

Service providers in 4G wireless communication networks are constantly challenged to accommodate more customers within a limited allotted capacity. OFDM (Orthogonal Frequency Division Multiplexing) is used to boost the data rate of a wireless medium while reducing interference. It is important to analyse the performance of the FFT- and DWT-OFDM by using different methods and algorithms. In this paper FFT and DWT is employed with different algorithms such as Cooley-Tukey, Prime factor, Haar and Daubechies. These algorithms have been modeled and analysed for the designed software model. A Comparative analysis has been carried out by considering SNR (Signal-to-Noise Ratio) and BER (Bit Error Rate) values for QAM modulation. MATLAB simulation showed that DWT-based OFDM system performed much better than the FFT-based OFDM systems on AWGN channel. 5G technology involves communication engineering and embedded system engineering to enhance the required data rate for different applications. The proposed system implementation with the 5G MIMO-OFDM on Zynq UltraScale provides a data rate within a range of 10 Gbps to 50 Gbps for the different order of the combinations of FFT/IFFT or DWT/IDWT and QAM. The different orders of the combinations were achieved through programmability and reconfigurability. The performance of the DWT-OFDM is more complex and computationally intensive than that of FFT-OFDM in hardware. In future wok the proposed system could be improved so as to become a multi-user MIMO(MU-MIMO).

Keywords

• fft/ifft
• dwt/idwt
• 5g/4g
• mimo-ofdm
• embedded systems
• zynq-ultrascale