Wireless LAN White Papers
Algorithms for Quantized Precoding in MIMO OFDM Beamforming Systems
Overview Multiple Input Multiple Output (MIMO) wireless systems can offer significant diversity and transmit beamforming with receive combining provides a method to achieve this diversity with simple receive processing. In this paper, Orthogonal Frequency Division Multiplexing (OFDM) is considered as a low complexity implementation of MIMO beamforming combining over frequency selective channels. Two broad classes of algorithms are discussed for quantizing channel information - clustering and transform. The clustering algorithms group the subcarriers and choose a common frequency-domain representation of the channel information for each group. Thus the feedback rate depends on the number of groups and not on the number of subcarriers. The transform algorithms quantize the channel information in time-domain where the transform essentially decorrelates the channel information.
| Publisher | University of Texas | File Format | |
|---|---|---|---|
| Date Published | February 2005 | ||
| Format | White Papers | ||
| Topics | |||
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