Rate Balancing Based Linear Transceiver Design for Multiuser MIMO System with Multiple Linear Transmit Covariance Constraints
Rate Balancing Based Linear Transceiver Design for Multiuser MIMO System with Multiple Linear Transmit Covariance Constraints
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DOI：
10.1109/icc.2011.5963516
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发表时间：
2011-06
期刊：
影响因子：
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通讯作者：
K. Cumanan;Jie Tang;S. Lambotharan
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文献类型：
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作者：
K. Cumanan;Jie Tang;S. Lambotharan
我们解决了具有多个线性发射协方差约束的多用户多输入多输出（MIMO）系统下行链路中的速率平衡问题。特别地，我们采用线性收发器结构，以最大化最坏情况下的用户速率，同时满足多个线性发射协方差约束。由于发射滤波器的耦合结构，下行链路中的原始速率平衡问题更加复杂。因此，该优化问题通过在虚拟上行链路和下行链路之间切换并利用逐流均方误差（MSE）对偶性以交替的方式来解决。提出了一种基于流方向MSE对偶的迭代算法来获得收发器滤波器。在每次迭代中，虚拟上行链路接收器滤波器设计通过并入多个线性约束而被公式化为二次约束二次规划（QCQP），其中下行链路接收器滤波器通过最小化每层MSE而获得。通过求解几何规划（GP）得到虚拟上行链路中的功率分配，其中每个用户的层MSE的乘积与总发射功率约束相平衡。仿真结果验证了该算法的有效性。
We solve the rate balancing problem in the downlink for a multiuser multiple-input-multiple-output (MIMO) system with multiple linear transmit covariance constraints. In particular, we adopt a linear transceiver structure to maximize the worst-case rate of the user while satisfying multiple linear transmit covariance constraints. The original rate balancing problem in the downlink is more complicated due to the coupled structure of the transmit filters. Hence, this optimization problem is solved in an alternating manner by switching between the virtual uplink and the downlink and exploiting the stream-wise mean square error (MSE) duality. An iterative algorithm has been proposed based on stream-wise MSE duality to obtain transceiver filters. In each iteration, the virtual uplink receiver filter design is formulated into a quadratically constrained quadratic programming (QCQP) by incorporating the multiple linear constraints, where the downlink receiver filters are obtained by minimizing each layer MSE. A geometric programming (GP) is solved to obtain the power allocation in the virtual uplink where the product of layer MSEs of each user is balanced with total transmit power constraint. Simulation results have been provided to validate the performance of the proposed algorithm.