MIMO:
A unified approach is developed for the study of multi-input, multi-output (MIMO) systems under fast fading with quantized covariance feedback. In such systems, the receiver computes, using perfect channel state information (CSI), the covariance matrices to be adopted by the transmitter corresponding to the current channel realization, and feeds back a quantized version of this information to the transmitter using finite, say , bits per channel realization.
Fig :MIMO
we analyze under a general quantized covariance framework, the capacity achieving strategy as well as the strategy that is rate-optimal under the STPC and their rank reduced versions by mapping these problems into one that involves quantization of positive semi-definite matrices with appropriate rank and trace equality and inequality constraints. The ergodic capacity is analyzed and the achievable rates under finite rate feedback is bounded relative to the ideal CSIT limits
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MIMO Systems With Quantized Covariance Feedback
A unified approach is developed for the study of multi-input, multi-output (MIMO) systems under fast fading with quantized covariance feedback. In such systems, the receiver computes, using perfect channel state information (CSI), the covariance matrices to be adopted by the transmitter corresponding to the current channel realization, and feeds back a quantized version of this information to the transmitter using finite, say , bits per channel realization.
we analyze under a general quantized covariance framework, the capacity achieving strategy as well as the strategy that is rate-optimal under the STPC and their rank reduced versions by mapping these problems into one that involves quantization of positive semi-definite matrices with appropriate rank and trace equality and inequality constraints. The ergodic capacity is analyzed and the achievable rates under finite rate feedback is bounded relative to the ideal CSIT limits
FOR MORE DETAILS:
MIMO Systems With Quantized Covariance Feedback
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