For multiple-relay cooperative networks with multiple antennas deployed at source and destination nodes,we investigate the outage performance of selection based semi-blind amplify-and-forward(AF) relaying,where transm...For multiple-relay cooperative networks with multiple antennas deployed at source and destination nodes,we investigate the outage performance of selection based semi-blind amplify-and-forward(AF) relaying,where transmit beamforming(TB) is conducted at source transmission and maximum ratio combining(MRC) at destination reception.Based on the Kolmogorov-Smirnov test,we analyze the impact of the configuration of destination antennas on the outage performance under arbitrary Nakagami-m fading channels.Results reveal that increasing the number of destination antennas is not necessary for an improvement of outage performance with any Nakagami-m parameter.Inspired by this fact,an approximation is proposed for the optimal selection.Simulation results show that the approximation is an efficient selection method.展开更多
基金supported by the National Natural Science Foundation (No.60772113)the National High-Tech Research and Development Program (863) (No 2009AA011502)the National Basic Research Program (973) of China (No 2009CB320406)
文摘For multiple-relay cooperative networks with multiple antennas deployed at source and destination nodes,we investigate the outage performance of selection based semi-blind amplify-and-forward(AF) relaying,where transmit beamforming(TB) is conducted at source transmission and maximum ratio combining(MRC) at destination reception.Based on the Kolmogorov-Smirnov test,we analyze the impact of the configuration of destination antennas on the outage performance under arbitrary Nakagami-m fading channels.Results reveal that increasing the number of destination antennas is not necessary for an improvement of outage performance with any Nakagami-m parameter.Inspired by this fact,an approximation is proposed for the optimal selection.Simulation results show that the approximation is an efficient selection method.
