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Multiple-Antenna Interference Cancellation and Detection for Two Users Using Quantized Feedback

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2 Author(s)
Feng Li ; Center for Pervasive Communications and Computing, University of California, Irvine ; Hamid Jafarkhani

When two users transmit signals to a common receiver, one can design precoders to cancel the interference for each user, if each user knows all the channel information perfectly. Also the diversity for each user is full. However, in practice, perfect channel information is not available. In this paper, we design precoders for two users with two transmit antennas and one receiver with two receive antennas using quantized feedback. We propose to construct codebook using Grassmannian line packing. By choosing precoders from the codebook properly, our proposed scheme can cancel the interference for each user. Also we analytically prove that our system can achieve full diversity for each user. Then we extend our scheme to any number of transmit and receive antennas. Simulation results confirm our analytical proof and show that our scheme can serve as a bridge between a system with no feedback and a system with perfect feedback.

Published in:

IEEE Transactions on Wireless Communications  (Volume:10 ,  Issue: 1 )