Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The application of turbo principle in designing receivers for multiple-input multiple-output (MIMO) wireless systems not only achieves practical complexity receiver systems but also near optimal performances for many of the next generation systems. In particular, our recent research has shown that significant performance can be achieved by using a low complexity iterative soft interference cancellation minimum mean-squared error (SIC-MMSE) equalizer in various coded MIMO wireless channels including frequency-selective MIMO channels (S. Ahmed et al., 2006). This performance gain is due to an extrinsic information exchange process beten the equalization and the channel decoding stages compared to a traditional system that treats these processes in isolation. Hover, the challenge faced with these iterative receivers is the understanding of their convergence behaviour. , to better understand the convergence behaviour of the proposed iterative receiver,  study the notion of extrinsic information transfer (EXIT) characteristics. Using simulations,  derive the extrinsic information trajectory on the EXIT chart at various E b /N 0  ranges to confirm the convergence of the proposed equalizer.
['Sajid Ahmed', 'Tharmalingam Ratnarajah', 'Mathini Sellathurai', 'Colin Cowan']
I am writing a research paper on a idea EXIT Chart Analysis of a Reduced Complexity Iterative MIMO-OFDM Receiver
[{"from": "human", "value": "I am writing a research paper on a idea EXIT Chart Analysis of a Reduced Complexity Iterative MIMO-OFDM Receiver"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The application of turbo principle in designing receivers for multiple-input multiple-output (MIMO) wireless systems not only achieves practical complexity receiver systems but also near optimal performances for many of the next generation systems. In particular, our recent research has shown that significant performance can be achieved by using a low complexity iterative soft interference cancellation minimum mean-squared error (SIC-MMSE) equalizer in various coded MIMO wireless channels including frequency-selective MIMO channels (S. Ahmed et al., 2006). This performance gain is due to an extrinsic information exchange process beten the equalization and the channel decoding stages compared to a traditional system that treats these processes in isolation. Hover, the challenge faced with these iterative receivers is the understanding of their convergence behaviour. , to better understand the convergence behaviour of the proposed iterative receiver,  study the notion of extrinsic information transfer (EXIT) characteristics. Using simulations,  derive the extrinsic information trajectory on the EXIT chart at various E b /N 0  ranges to confirm the convergence of the proposed equalizer."}]