Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This letter considers multiple-input multiple-output (MIMO) systems with bit-interleaved coded modulation. An approximate log-likelihood decoding approach is presented based on a zero-forcing receiver. The implementation complexity is low compared to the maximum likelihood (ML) receiver.  show that the performance gap, compared to ML, reduces when either the number of receive antennas or the modulation order is increased. Results are presented for both narrowband fast-fading, and orthogonal frequency division multiplexing (OFDM) channels. In the OFDM case,  demonstrate performance gaps as low as 0.5 dB for MIMO extensions to the IEEE 802.11a wireless local area network physical layer standard.
['Michael R. G. Butler', 'Iain B. Collings']
I am writing a research paper on a idea A zero-forcing approximate log-likelihood receiver for MIMO bit-interleaved coded modulation
[{"from": "human", "value": "I am writing a research paper on a idea A zero-forcing approximate log-likelihood receiver for MIMO bit-interleaved coded modulation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This letter considers multiple-input multiple-output (MIMO) systems with bit-interleaved coded modulation. An approximate log-likelihood decoding approach is presented based on a zero-forcing receiver. The implementation complexity is low compared to the maximum likelihood (ML) receiver.  show that the performance gap, compared to ML, reduces when either the number of receive antennas or the modulation order is increased. Results are presented for both narrowband fast-fading, and orthogonal frequency division multiplexing (OFDM) channels. In the OFDM case,  demonstrate performance gaps as low as 0.5 dB for MIMO extensions to the IEEE 802.11a wireless local area network physical layer standard."}]