首页> 外文会议>Computers and Communications (ISCC), 2012 IEEE Symposium on >Performance of Zero-forcing and Block-Diagonalization methods for cooperative MIMO Downlink base stations in the presence of channel estimation errors
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Performance of Zero-forcing and Block-Diagonalization methods for cooperative MIMO Downlink base stations in the presence of channel estimation errors

机译:在存在信道估计误差的情况下,协作MIMO下行链路基站的迫零和对角化方法的性能

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In this paper, we consider the transmission coordination among multiple cell sites, namely the Coordinated MultiPoint (CoMP) transmission scheme, where several Base Stations (BSs) cooperate to serve a set of Mobile Stations (MSs) and both BSs and MSs are equipped with multiple antennas. We model this multicell cooperative system under the presence of channel estimation errors that can significantly influence the obtained results. We derive the exact sum rate expression of the multicell cooperative system in the presence of channel estimation errors and we evaluate the performance of the Block-Diagonalization (BD) and Zero-forcing (ZF) beamforming approaches. Furthermore, we investigate a power allocation policy that maximizes the system sum rate in the presence of channel estimation errors. We show that in the multicell cooperative system, the performance of the BD or ZF beamforming approaches in terms of the maximization of the system sum rate, depends essentially on the system configuration parameters (i.e., number of antennas per BS and per MS). Simulation results are given to support our claims.
机译:在本文中,我们考虑了多个小区站点之间的传输协调,即协作多点(CoMP)传输方案,其中几个基站(BS)合作为一组移动站(MS)服务,并且BS和MS都配备了多根天线。我们在信道估计误差的存在下对该多小区协作系统进行建模,该误差可能会严重影响获得的结果。我们在存在信道估计误差的情况下得出多小区协作系统的精确求和率表达式,并评估块对角化(BD)和迫零(ZF)波束成形方法的性能。此外,我们研究了一种功率分配策略,该策略会在存在信道估计误差的情况下最大化系统总和。我们表明,在多小区协作系统中,就系统总速率的最大化而言,BD或ZF波束成形方法的性能基本上取决于系统配置参数(即,每个BS和每个MS的天线数量)。仿真结果证明了我们的主张。

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