Optimal multiuser MIMO linear precoding with LMMSE receiver
EURASIP Journal on Wireless Communications and Networking - 3GPP LTE and LTE Advanced
Proportional fairness packet scheduling with transmit beamforming for multi-user MIMO systems
RWS'09 Proceedings of the 4th international conference on Radio and wireless symposium
SNR maximization and distributed beamforming in multiuser multi-relay networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Symbol error probabilities for general Cooperative links
IEEE Transactions on Wireless Communications
Distributed beamforming and power allocation for cooperative networks
IEEE Transactions on Wireless Communications - Part 2
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Distributed Downlink Beamforming With Cooperative Base Stations
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
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This paper addresses the problem of transmitting data to multiple mobile stations using a decode-and-forward strategy. Precoding vectors are used in relays to cancel out multiple access interference at the mobile stations. The diversity gain of the system has been analytically calculated for the case of two mobile stations. The system performance for arbitrary number of mobile stations is calculated using a semi analytic approach. In this approach the distribution of signal to noise ratio is approximated by a mixture of Nakagami laws using an Expectation-Maximization algorithm. Then the symbol error probability of this mixture is analytically calculated. Simulations confirm the theoretical results showing that the full diversity advantage can be obtained, which is the product of the number of antennas at each relay by the number of relays minus the total number of system constraints.