MIMO Broadcast Channels with Block Diagonalization and Finite Rate Feedback

dc.creatorRavindran, Niranjay
dc.creatorJindal, Nihar
dc.date2006-10-12
dc.date.accessioned2026-07-07T08:18:03Z
dc.date.available2026-07-07T08:18:03Z
dc.descriptionBlock 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.
dc.description4 pages, 3 figures, submitted to International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2007
dc.identifierhttps://arxiv.org/abs/cs/0610077
dc.identifierhttp://arxiv.org/abs/cs/0610077
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/134299
dc.subjectInformation Theory
dc.subjectH.1.1
dc.titleMIMO Broadcast Channels with Block Diagonalization and Finite Rate Feedback
dc.typetext

Files

Collections