Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  studies the asymptotic performance of signal detection for large random multiple-input multiple-output (MIMO) systems. Two iterative receivers are considered: unconditional MMSE receiver with soft interference cancellation (U-MMSE-SIC) and block-iterative generalized decision feedback equalizer (BI-GDFE).  prove that for the limiting case, the output SINRs at each iteration for both receivers converge in probability to their respective deterministic limits.  also show that for U-MMSE-SIC, the limiting SINR is determined by the statistics of the soft estimates; while for BI-GDFE, the limit is determined by the statistical reliability of the hard decisions. Numerical results have shown that the U-MMSE-SIC receiver has faster convergence than the BI-GDFE receiver with the price of higher computational complexity in each iteration due to the use of soft interference cancellation.
['Ying-Chang Liang', 'Li Bai', 'Guangming Pan']
I am writing a research paper on a idea Asymptotic Performance of BI-GFDE and Unconditional MMSE-SIC Receivers for Large MIMO Systems
[{"from": "human", "value": "I am writing a research paper on a idea Asymptotic Performance of BI-GFDE and Unconditional MMSE-SIC Receivers for Large MIMO Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  studies the asymptotic performance of signal detection for large random multiple-input multiple-output (MIMO) systems. Two iterative receivers are considered: unconditional MMSE receiver with soft interference cancellation (U-MMSE-SIC) and block-iterative generalized decision feedback equalizer (BI-GDFE).  prove that for the limiting case, the output SINRs at each iteration for both receivers converge in probability to their respective deterministic limits.  also show that for U-MMSE-SIC, the limiting SINR is determined by the statistics of the soft estimates; while for BI-GDFE, the limit is determined by the statistical reliability of the hard decisions. Numerical results have shown that the U-MMSE-SIC receiver has faster convergence than the BI-GDFE receiver with the price of higher computational complexity in each iteration due to the use of soft interference cancellation."}]