Matrix computations (3rd ed.)
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Optimized signaling for MIMO interference systems with feedback
IEEE Transactions on Signal Processing
Joint transmit and receive filters design for multiple-input multiple-output (MIMO) systems
IEEE Transactions on Wireless Communications
A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels
IEEE Transactions on Wireless Communications
MIMO capacity with interference
IEEE Journal on Selected Areas in Communications
Transmit antenna subset selection for downlink MIMO systems in multicell environments
IEEE Transactions on Wireless Communications
Distributed beamforming techniques for weighted sum-rate maximization in MISO interference channels
IEEE Communications Letters
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Uplink multiple-input multiple-output (MIMO) transmission scheme is developed for time division duplex (TDD) systems in a multicell environment. We propose a precoding scheme that maximizes the total achievable rate and works in the decentralized manner with only locally available channel state information (CSI) at each transmitter. We first establish and solve a decentralized optimization problem for the case of multiple-input single-output (MISO) channels, introducing a new precoding design metric called signal to generated interference plus noise ratio (SGINR). By extending the result to general MIMO channels, we propose an SGINR-based precoding scheme where the number of transmit streams is selected adaptively to the surrounding environments. Simulation results confirm that the proposed precoding scheme offers significant throughput enhancement in multicell environments.