This study addresses the problem of jointly optimizing the transmit beamformers and power control in multi-user multiple-input multiple-output （MIMO） downlink. The objective is minimizing the total transmission powe...This study addresses the problem of jointly optimizing the transmit beamformers and power control in multi-user multiple-input multiple-output （MIMO） downlink. The objective is minimizing the total transmission power while satisfying the signal-to-noise plus interference ratio （SINR） requirement of each user. Before power control, it uses the maximum ratio transmission （MRT） scheme to determine the beamformers due to its attractive properties and the simplicity of handling. For power control it introduces a supermodular game approach and proposes an iterated strict dominance elimination algorithm. The algorithm is proved to converge to the Nash equilibrium. Simulation results indicate that this joint optimization method assures the improvement of performance.展开更多
基金the National Natural Science Foundation of China （60602057） the Natural Science Foundation of Chongqing Science and Technology Commission （CSTC, 2006BB2360）.
文摘This study addresses the problem of jointly optimizing the transmit beamformers and power control in multi-user multiple-input multiple-output （MIMO） downlink. The objective is minimizing the total transmission power while satisfying the signal-to-noise plus interference ratio （SINR） requirement of each user. Before power control, it uses the maximum ratio transmission （MRT） scheme to determine the beamformers due to its attractive properties and the simplicity of handling. For power control it introduces a supermodular game approach and proposes an iterated strict dominance elimination algorithm. The algorithm is proved to converge to the Nash equilibrium. Simulation results indicate that this joint optimization method assures the improvement of performance.
