Compressed Sensing Based Rotative Quantization in Temporally Correlated MIMO Channels
نویسندگان
چکیده
Channel adaptive transmission requires knowledge of channel state information at the transmitter. In temporally correlated MIMO channels, the correlation can be utilized to reduce feedback overhead and improve performance. In this paper, Compressed Sensing (CS) methods and rotative quantization are used to compress and feedback channel state information for MIMO systems as an extension work of [1]. Using simulation, it is shown that the CS based method reduces feedback overhead while delivering the same performance as the direct quantization scheme.
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