接近最优的编码MIMO系统的发送天线子集选择算法

多天线无线系统可提供更大的信道容量和更好的抗衰落能力，发送端利用反馈的部分信道状态信息进行发送天线子集选择能够进一步提高信道容量。该文提出了一种MIMO系统的快速的、动态的天线子集选择算法，其提供的信道容量高于已有的静态算法，且接近于最优天线选择算法，而无需计算所有可能的天线子集组合的信道容量，因而具有更低的复杂度。将本文算法与比特交织编码调制(BICM)技术相结合，对各天线速率进行适配，提出了空时自适应比特交织编码调制(ST-ABICM)方案。仿真结果证实了该方案性能的优越性。

Near Optimal Transmit Antenna Subset Selection Algorithms for Coded MIMO Systems

Multiple antenna wireless systems can provide larger channel capacity and better ability to combat fading.The capacity can be further increased by feeding back some channel state information to the transmitter and implementing antenna subset selection.A fast and dynamic transmit antenna subset selection algorithm is proposed in this paper.Instead of the optimal selection algorithm,which needs to compute the capacity of all the antenna subset combinations,the new algorithm has almost the same capacity with lower complexity.It also has larger capacity than the existent static algorithms.Based on bit interleaved code modulation(BICM)technology, space time adaptive bit interleaved code modulation(ST-ABICM)scheme is constructed by adapting data rate per transmit antenna.Simulation results also prove the excellent performance of the scheme.