An optimal algorithm for approximate nearest neighbor searching fixed dimensions
Journal of the ACM (JACM)
Limited feedback for multi-carrier beamforming: a rate-distortion approach
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Asymptotic performance of MIMO wireless channels with limited feedback
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Multiple Antenna Broadcast Channels With Shape Feedback and Limited Feedback
IEEE Transactions on Signal Processing - Part I
On the performance of random vector quantization limited feedback beamforming in a MISO system
IEEE Transactions on Wireless Communications
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
An overview of limited feedback in wireless communication systems
IEEE Journal on Selected Areas in Communications
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We study the problem of quantizing an M dimensional beamforming vector with M relatively large. Using a conventional beamforming vector codebook to quantize beamforming vectors incurs a complexity that scales exponentially with M, making it unsuitable when M is large. In [1], we proposed to use a trells-based quantization scheme to tackle the complexity problem, and we present two enhancements in this paper. First, we let each trellis stage process multiple channel dimensions, resulting in a quantization improvement at the cost of increasing the quantization complexity to O(M22BL). Second, we permute the trellis state transitions and outputs to map neighboring beamforming vectors to neighboring channel coded vectors. The second enhancement is benefecial when implementing feedback, as feedback information is time-sensitive and retransmission may not be worthwhile. Simulations show the improvements of our proposed techniques.