Optimized signaling for MIMO interference systems with feedback
IEEE Transactions on Signal Processing
Joint Design of Tx-Rx Beamformers in MIMO Downlink Channel
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
Generalized multiuser orthogonal space-division multiplexing
IEEE Transactions on Wireless Communications
Iterative construction of optimum signature sequence sets in synchronous CDMA systems
IEEE Transactions on Information Theory
Space-time transmit precoding with imperfect feedback
IEEE Transactions on Information Theory
Optimizing MIMO multipoint wireless networks assuming Gaussian other-user interference
IEEE Transactions on Information Theory
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The capacity of a multipoint MIMO wireless network is interference-limited. In order to increase the system capacity, MIMO precoding at the transmitter and decoding at the receiver can be employed so that interference among different nodes is eliminated or suppressed. In this paper, we propose precoding/decoding techniques based on an iterative zero-forcing approach. By utilizing the extra degrees of freedom provided by multiple transmit and receive antennas, this algorithm achieves good signal-to-interference-plus-noise ratio (SINR) and fast convergence. The sum-rate capacity and convergence behavior of this algorithm are studied and the possible application to MIMO backhaul networks is discussed.