Optimization of Training and Feedback with Beamforming for MIMO Channel
نویسندگان
چکیده
We examine the capacity of beamforming over a block Rayleigh fading Multi-Input/Multi-Output (MIMO) channel with finite training for channel estimation and limited feedback. A fixed-length packet is assumed, which is spanned by T training symbols, B feedback bits, and the data symbols. The training symbols are used to obtain a Minimum Mean Squared Error (MMSE) estimate of the channel matrix. Given this estimate, the receiver selects a transmit beamforming vector from a codebook containing 2 i.i.d. random vectors, and relays the corresponding B-bit index back to the transmitter. We derive bounds on the capacity. For a large number of transmit antennas Nt, the optimal T , which maximizes the capacity, increases as Nt/ log Nt while the optimal B increases as Nt/ log Nt.
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