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Joint relay selection and power control for robust cooperative multicast in MmWave WPANs

机译:MMWAVE WPANS强大的合作组播的联合继电器选择和功率控制

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We put forward a joint optimization algorithm for relay selection and source & relay power allocations under line-of-sight (LoS) and non-LoS mixed conditions for both power saving and robustness enhancement in practical cooperative multicast millimeter-wave (mmWave) wireless personal area networks (WPANs). Firstly, a novel beam training protocol capable of overhearing is devised to filter relay candidates with non-LoS links and avoid relays selection for LoS paths through feedback 1-bit channel amplitude information (CAI). Secondly, we provide the problem formulation that minimizes the maximum total transmit power consumption under constraints of maximum tolerable outage probability and limited power. As these two problems are coupled together, the formulation is non-convex with extremely high complexity of finding optimal solution. By introducing relaxation method and Lagrange multipliers algorithm, we propose an optimal approach to reduce complexity while maintaining reasonable performance, and derive a closed-form expression of optimal joint relay selection and power allocation. Lastly, simulation results indicate significant improvements both on outage probability and power consumption performances over the existing sum transmit power minimization algorithm.
机译:我们提出了一种用于在视线上的中继选择和源和继电器功率分配的联合优化算法,以及实用合作组播毫米波(MMWAVE)无线个人的省电和鲁棒性增强的非LOS混合条件区域网络(WPANS)。首先,设计了一种能够过化的新型光束训练协议,以通过反馈1位信道幅度信息(CAI)来避免使用非LOS链路过滤中继候选,并避免对LOS路径的选择。其次,我们提供了问题制定,其在最大可容忍的中断概率和有限的功率下最小化了最大传输功耗。随着这两个问题耦合在一起,制剂是非凸,具有极高复杂性的找到最佳解决方案。通过引入松弛方法和拉格朗日乘法器算法,我们提出了一种最佳的方法来降低复杂性,同时保持合理的性能,并导出最佳关节继电器选择和功率分配的闭合形式表达。最后,仿真结果表明对现有总和发射功率最小化算法的中断概率和功耗性能的显着改进。

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