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首页> 外文期刊>Signal Processing, IEEE Transactions on >QOS-Constrained Multiuser Peer-to-Peer Amplify-and-Forward Relay Beamforming
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QOS-Constrained Multiuser Peer-to-Peer Amplify-and-Forward Relay Beamforming

机译:受QOS约束的多用户对等放大转发中继波束成形

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摘要

A wireless communication scenario is considered with $K$ single-antenna source-destination pairs communicating through several half-duplex amplify-and-forward MIMO relays where each source is targeting only one destination. The relay beamforming matrices are designed in order to minimize the total power transmitted from the relays subject to quality of service constraints on the received signal to interference-plus-noise ratio at each destination node. Due to the nonconvexity of this problem, several approximations have been used in the literature to find a computationally efficient solution. A novel solution technique is developed in which the problem is decomposed into a group of second-order cone programs (SOCPs) parameterized by $K$ phase angles; each associated with one of the constraints. An iterative algorithm is proposed to search for the phase angles and the relay beamforming matrices sequentially. However, convergence to the global optimal beamforming matrices cannot be guaranteed. Two methods for searching for the optimal values of the phase angles are proposed (from which the optimal beamforming matrices can be obtained) using grid search and bisection and the convergence of these methods to the global optimal solution of the problem is proved. Numerical simulations are presented showing the superior performance of the proposed algorithms compared to earlier suboptimal approximations at the expense of a moderate increase in the computational complexity.
机译:考虑一种无线通信场景,其中$ K $个单天线源-目的地对通过几个半双工放大转发MIMO中继进行通信,其中每个源仅针对一个目的地。设计中继器波束成形矩阵是为了使中继器传输的总功率最小,这取决于每个目标节点上接收信号的服务质量约束与干扰加噪声比。由于该问题的非凸性,文献中使用了几种近似方法来找到计算有效的解决方案。开发了一种新颖的解决方案技术,其中将问题分解为一组由$ K $相角参数化的二阶锥规划(SOCPs)。每个都与约束之一相关联。提出了一种迭代算法来依次搜索相角和中继波束形成矩阵。但是,不能保证收敛到全局最优波束成形矩阵。提出了两种利用网格搜索和二等分线搜索相角最优值的方法(从中可以获得最优的波束成形矩阵),证明了这些方法对问题的全局最优解的收敛性。数值模拟表明,与较早的次优逼近相比,所提出算法的性能更高,但代价是计算复杂度适度增加。

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