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Multihop Nonregenerative MIMO Relays— QoS Considerations

机译:多跳非再生MIMO中继— QoS注意事项

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摘要

For nonregenerative multihop multiple-input multiple-output (MIMO) relay communication systems, the optimal source precoding matrix and the optimal relay amplifying matrices have been recently established for a broad class of objective functions subjecting to the transmission power constraint at each node. However, existing works do not consider any quality-of-service (QoS) constraints, which are important in practical communication systems. In this paper, we derive the optimal source and relay matrices of a multihop MIMO relay system that guarantee the predetermined QoS criteria be attained with the minimal total transmission power. In particular, we consider two types of receivers at the destination node: the linear minimal mean-squared error (MMSE) receiver and the nonlinear decision feedback equalizer (DFE) based on the MMSE criterion. We show that for both types of receivers, the solution to the original optimization problem can be upper-bounded by using a successive geometric programming (GP) approach and lower-bounded by utilizing a dual decomposition technique. Simulation results show that both bounds are tight, and to obtain the same QoS, the MIMO relay system using the nonlinear MMSE-DFE receiver requires substantially less total transmission power than the linear MMSE receiver-based system.
机译:对于非再生多跳多输入多输出(MIMO)中继通信系统,最近针对各种目标函数建立了最优源预编码矩阵和最优中继放大矩阵,这些目标函数受每个节点的发射功率约束。但是,现有的工作没有考虑任何服务质量(QoS)约束,这在实际的通信系统中很重要。在本文中,我们推导了一种多跳MIMO中继系统的最佳源和中继矩阵,这些矩阵可确保以最小的总传输功率实现预定的QoS标准。特别是,我们考虑了目标节点上的两种类型的接收器:线性最小均方误差(MMSE)接收器和基于MMSE准则的非线性决策反馈均衡器(DFE)。我们表明,对于两种类型的接收器,可以通过使用连续几何规划(GP)方法将原始优化问题的解决方案上限,而通过对偶分解技术将其下限解决。仿真结果表明,两个边界都很严格,并且要获得相同的QoS,使用非线性MMSE-DFE接收器的MIMO中继系统所需的总传输功率要比基于线性MMSE接收器的系统低得多。

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