论文标题
强大的联合源 - 列延式用途设计下的Per-Antenna功率约束
Robust Joint Source-Relay-Destination Design Under Per-antenna Power Constraints
论文作者
论文摘要
本文介绍了放大和前向（AF）继电器网络的联合源 - 列层末日范围（BF）设计。考虑到从继电器到达目的地的通道状态信息（CSI）是不完美的，我们首先是为了最大程度地提高在Per-Antenna功率约束下收到的SNR的最坏情况。然后以两个步骤解决关联的优化问题。在第一步中，通过揭示最佳继电器BF矩阵的排名一项属性，我们建立了仅取决于矢量变量的关节最佳BF设计的半闭合形式解。基于此结果，在第二步中，我们提出了一种低复杂性迭代算法以获得其余未知变量。我们还研究了最小化继电器处的最大人均功率的问题，同时确保接收到的信噪比（SNR）目标，并证明其减少了SNR最大化问题。因此，可以应用相同的方法来解决它。我们的结果与现有相关工作之间的差异也进行了详细讨论。特别是，我们表明，在完美的CSI情况下，我们的算法具有相同的性能，但计算复杂性的成本比现有方法低得多。最后，在模拟部分中，我们研究了不完美的CSI对系统性能验证我们的分析的影响。
This paper deals with joint source-relay-destination beamforming (BF) design for an amplify-and-forward (AF) relay network. Considering the channel state information (CSI) from the relay to the destination is imperfect, we first aim to maximize the worst case received SNR under per-antenna power constraints. The associated optimization problem is then solved in two steps. In the first step, by revealing the rank-one property of the optimal relay BF matrix, we establish the semi-closed form solution of the joint optimal BF design that only depends on a vector variable. Based on this result, in the second step, we propose a low-complexity iterative algorithm to obtain the remaining unknown variable. We also study the problem for minimizing the maximum per-antenna power at the relay while ensuring a received signal-to-noise ratio (SNR) target, and show that it reduces to the SNR maximization problem. Thus the same methods can be applied to solve it. The differences between our result and the existing related work are also discussed in details. In particular, we show that in the perfect CSI case, our algorithm has the same performance but with much lower cost of computational complexity than the existing method. Finally, in the simulation part, we investigate the impact of imperfect CSI on the system performance to verify our analysis.
