Capacity Enhancement of 5g wireless system using Mimo-Ofdm technique in matlab

In this work, an efficient rate-less MIMO system based on Raptor coding is proposed. The system uses different interleaving techniques, including chaotic interleaving, zigzag interleaving, and traditional methods. These interleaving approaches help improve system performance by rearranging the transmitted data into less correlated sequences, which reduces the impact of channel errors. The proposed method shows better Bit Error Rate (BER) performance compared to conventional block interleaving techniques. By using advanced interleaving strategies, the transmitted signals become more robust against noise and interference in wireless channels. The performance of the Raptor code-based MIMO-OFDM system is evaluated over a multipath fading channel. At the receiver side, Minimum Mean Square Error (MMSE) equalization is applied to reduce distortion caused by the channel. Simulation results demonstrate that the proposed rate-less system outperforms traditional MIMO systems in terms of both error performance and data throughput. Equalization plays an important role in improving signal quality during transmission over mobile wireless channels. In this work, two different equalization techniques are used to further enhance the overall system performance. For future research, the system performance can be further analyzed under mobile conditions by considering the effect of normalized Doppler shift. This will help evaluate how well the proposed technique performs in real-world dynamic environments.  

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