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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Optimal Precoder Design for Non-Regenerative MIMO Cognitive Two-Way Relay Systems with Underlay Spectrum Sharing
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Optimal Precoder Design for Non-Regenerative MIMO Cognitive Two-Way Relay Systems with Underlay Spectrum Sharing

机译:具有底层频谱共享的非再生MIMO认知双向中继系统的最佳预编码器设计

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We study the optimal precoder design for a MIMO cognitive two-way relay system with underlay spectrum sharing. The system consists of two secondary users (SUs) and one relay station (RS). We jointly optimize the precoders for SUs and RS with perfect and imperfect channel state information (CSI) between SUs/RS and the primary user, where our design approach is based on the alternate optimization method. For the perfect CSI case, we derive the optimal structure of the RS precoding matrix, which generalizes the result for single-antenna SUs and helps to reduce the search complexity. We develop gradient projection (GP) algorithm to calculate the optimal RS precoder numerically. When the RS precoder is given, we propose a fast algorithm based on generalized water-filling theorem to compute the optimal SU precoders. For the imperfect CSI case, we derive equivalent conditions for the interference power constraints and convert the robust SU precoder optimization into the form of semi-definite programming. As for the robust RS precoder optimization, we relax the interference power constraint related with the RS precoder to be convex and then the GP algorithm can be applied. Finally, simulation results demonstrate the effectiveness of the proposed schemes.
机译:我们研究了具有底层频谱共享的MIMO认知双向中继系统的最佳预编码器设计。该系统由两个辅助用户(SU)和一个中继站(RS)组成。我们在SU和RS与主要用户之间使用完美且不完美的信道状态信息(CSI)共同优化SU和RS的预编码器,其中我们的设计方法基于替代优化方法。对于理想的CSI情况,我们推导了RS预编码矩阵的最佳结构,该结构可将单天线SU的结果推广化,并有助于降低搜索复杂度。我们开发了梯度投影(GP)算法以数值计算最佳的RS预编码器。当给出RS预编码器时,我们提出了一种基于广义充水定理的快速算法来计算最优SU预编码器。对于不完善的CSI情况,我们得出了干扰功率约束的等效条件,并将鲁棒的SU预编码器优化转换为半定编程的形式。对于鲁棒的RS预编码器优化,我们将与RS预编码器相关的干扰功率约束放宽为凸形,然后可以应用GP算法。最后,仿真结果证明了所提方案的有效性。

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