Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Block diagonalization is a linear preceding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver such that no multi-user interference is experienced at any of the receivers. This low-complexity scheme operates only a few dB away from capacity but requires very accurate channel knowledge at the transmitter.  consider a limited feedback system where each receiver knows its channel perfectly, but the transmitter is only provided with a finite number of channel feedback bits from each receiver. Using a random quantization argument,  quantify the throughput loss due to imperfect channel knowledge as a function of the feedback level. The quality of channel knowledge must improve proportional to the SNR in order to prevent interference-limitations, and  show that scaling the number of feedback bits linearly with the system SNR is sufficient to maintain a bounded rate loss. Finally,  compare our quantization strategy to an analog feedback scheme and show the superiority of quantized feedback.
['Niranjay Ravindran', 'Nihar Jindal']
I am writing a research paper on a idea Limited feedback-based block diagonalization for the MIMO broadcast channel
[{"from": "human", "value": "I am writing a research paper on a idea Limited feedback-based block diagonalization for the MIMO broadcast channel"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Block diagonalization is a linear preceding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver such that no multi-user interference is experienced at any of the receivers. This low-complexity scheme operates only a few dB away from capacity but requires very accurate channel knowledge at the transmitter.  consider a limited feedback system where each receiver knows its channel perfectly, but the transmitter is only provided with a finite number of channel feedback bits from each receiver. Using a random quantization argument,  quantify the throughput loss due to imperfect channel knowledge as a function of the feedback level. The quality of channel knowledge must improve proportional to the SNR in order to prevent interference-limitations, and  show that scaling the number of feedback bits linearly with the system SNR is sufficient to maintain a bounded rate loss. Finally,  compare our quantization strategy to an analog feedback scheme and show the superiority of quantized feedback."}]