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首页> 外文会议>Institute of Electrical and Electronics Engineers International Symposium on Information Theory >Multi-terminal joint transceiver design for MIMO systems with contaminated source and individual power constraint
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Multi-terminal joint transceiver design for MIMO systems with contaminated source and individual power constraint

机译：MIMO系统的多终端联合收发器设计，具有污染源和单个功率约束

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摘要

This paper considers optimal transceiver design for a multi-terminal multi-inputmulti-output (MIMO) system, where L sensors wirelessly communicate individually-contaminated observations of the same source to the fusion center. The constraint that each sensor has individual power cap significantly complicates the non-convex optimization problem, and the optimal (linear) precoding and postcoding are not previously known. Using the signal-to-noise-ratio (SNR) as the performance metric, and employing the alternative minimization approach, we decompose the original problem into multiple subproblems that will run iteratively. The key results include the development of a closed-form solution to the optimal postcoder given the precoders, and the development of a closed-form solution for the ε-optimal precoders given the postcoder. The former is achieved via eigenvalue decomposition, and the latter is achieved by bounding the optimal solutions from above and from below, designing a series of fast-converging bisection search, and developing the closed-form analytical solution for each search. The convergence and the complexity of the proposed algorithm is analyzed and simulations are provided to confirm the efficiency of our proposal.
机译：本文考虑了多终端多输入多输出（MIMO）系统的最佳收发器设计，其中L传感器无线地将相同源的单独污染的观察与融合中心进行无线通信。每个传感器具有单个功率帽的约束显着复杂于非凸优化问题，并且先前未知最佳（线性）预编码和后码。使用信噪比（SNR）作为性能度量，并采用替代最小化方法，我们将原始问题分解为迭代运行的多个子问题。关键的结果包括给出了Precoders的最佳后考码器的封闭式解决方案的开发，以及给出Postcoder的ε-最佳预制器的闭合液的开发。前者通过特征值分解来实现，并且通过从上方和下面界定最佳解决方案，设计一系列快速融合的平坦搜索，以及为每个搜索开发闭合形式的分析解决方案来实现后者。分析了所提出的算法的收敛性和复杂性，并提供模拟以确认我们提案的效率。

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