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Receive Beamforming for Ultrareliable Random Access based SWIPT

机译:接收波束成形,用于基于SWIPT的超可靠随机接入

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Ultrareliable uplink communication based on random access poses novel research challenges for the receiver design. Here, the uncertainty imposed by the random access and a large amount of interfering transmissions is the limiting factor for the system performance. Recently, this type of communication has been addressed in context of simultaneous wireless information and power transfer (SWIPT). The need to adapt the power splitting to the signal states according to the underlying random access has been tackled by introducing a predictor, which determines the valid states of the received signal based on the long-term observation. Hence, the power splitting factor is scaled accordingly in order to guarantee ultrareliable communication and maximized harvested energy.In this work, we extend the considered SWIPT scenario by introducing multiple antennas at the receiver side. Through this, the received energy can be substantially increased, if the energy harvesting parameters and the spatial filter coefficients are jointly optimized. Hence, we propose an optimization procedure, which aims at maximizing the harvested energy under the ultrareliability constraint. The mentioned prediction method is then combined with the optimization solution and the resulting system performance is numerically evaluated.
机译:基于随机访问的超可靠上行链路通信对接收机设计提出了新的研究挑战。在此,由随机访问和大量干扰传输引起的不确定性是系统性能的限制因素。近来,已经在同时无线信息和功率传输(SWIPT)的背景下解决了这种类型的通信。通过引入预测器解决了根据基础随机访问将功率分配适应信号状态的需求,该预测器根据长期观察确定接收信号的有效状态。因此,为了确保超可靠的通信和最大的采集能量,功率分配因子会相应地缩放。在这项工作中,我们通过在接收器端引入多个天线来扩展考虑的SWIPT方案。通过这种方式,如果能量收集参数和空间滤波器系数被共同优化,则接收到的能量可以显着增加。因此,我们提出了一种优化程序,其目的是在超可靠性约束下最大化收获的能量。然后将上述预测方法与优化解决方案结合起来,并对所得的系统性能进行数值评估。

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