Computer Science – Information Theory
Scientific paper
2006-10-12
Computer Science
Information Theory
4 pages, 3 figures, submitted to International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2007
Scientific paper
Block diagonalization is a linear precoding 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 does require very accurate channel knowledge at the transmitter, which can be very difficult to obtain in fading scenarios. We 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 vector quantization argument, we 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 we show that scaling the number of feedback bits linearly with the system SNR is sufficient to maintain a bounded rate loss. Finally, we investigate a simple scalar quantization scheme that is seen to achieve the same scaling behavior as vector quantization.
Jindal Nihar
Ravindran Niranjay
No associations
LandOfFree
MIMO Broadcast Channels with Block Diagonalization and Finite Rate Feedback does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with MIMO Broadcast Channels with Block Diagonalization and Finite Rate Feedback, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and MIMO Broadcast Channels with Block Diagonalization and Finite Rate Feedback will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-664586