OPTIMIZED MIMO BASED ENHANCED OFDM FOR MULTI CARRIER SYSTEM WITH 5G WAVEFORMS

Orthogonal Frequency Division Multiplexing (OFDM) is a multi -carrier modulation technology that uses many subcarriers inside a single channel to broaden the notion of single subcarrier modulation. Because of its high-power transmission, the above approach produces out-of-band radiation. Therefore, a novel model named MIMO based enhanced OFDM communication system is introduced. In which random data bits are generated by a random data source, which is mapped using QPSK. Furthermore, to alleviate the carrier interference in MIMO-OFDM a novel Multi carrier interference mitigation method is presented. In which the Fourier, ICI estimation is done to separate the signal to time and frequency variant. Therefore, a novel Deep Frequency Time Offset estimation approach is created with two successive layers, and a Deep Neural Network (DNN) is used to estimate the residual carrier frequency offset and symbol timing offset. This reduces the time and frequency offset inaccuracy. Additionally, to alleviate out -of-band problems, a novel Low Complex Equalised demodulating approach is introduced. In which an extension windowing procedure is performed after adding CP, significantly reducing side lobe power and simplifying the process. Thus, the proposed OFDM carriers all the signal and transmits and receives with low out-of -band, carrier frequency offset in an efficient and equalised manner without any error and losses.