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Optimal Power Scheduling for Uplink Transmissions in SIC-Based Industrial Wireless Networks With Guaranteed Real-Time Performance

机译:基于SIC的工业无线网络中的上行链路传输的最佳功率调度,具有保证实时性能

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摘要

The k-SIC (successive interference cancellation) technology can support at most k parallel transmissions, and thus fast media access can be provided, which is vital for real-time industrial wireless networks. However, it suffers from high power consumption because high interference caused by parallel transmissions has to be overcome. In this paper, given the real-time performance requirements, we consider a network supporting k-SIC, and study how to minimize aggregate power consumptions of user equipments for uplink transmissions by jointly addressing power allocation and user scheduling. We show that the problem is solvable in polynomial time in the case of continuous transmit powers by an algorithm with complexity of O(nlog(n)), where n is the number of user equipments. In the case of discrete transmit powers, the problem is shown to be polynomially solvable for 2-SIC, and we also propose an approximation algorithm for k-SIC where k > 2. Experimental evaluations reveal that the real-time performances have tremendous impacts on both the aggregate power consumption and the maximum of the transmit powers of user equipments. Besides, the usability of SIC in low-power applications is also shown by experimental evaluations.
机译:K-SIC(连续干扰消除)技术可以支持大多数K并行传输,因此可以提供快速媒体访问,这对于实时工业无线网络至关重要。然而,它遭受了高功耗,因为必须克服由并行传输引起的高干扰。本文鉴于实时性能要求,我们考虑一种支持K-SIC的网络,并研究如何通过共同寻址功率分配和用户调度来最小化用户设备的聚合功耗。我们表明,通过具有o(nlog(n))的复杂性连续发射功率的情况下,问题在多项式时间中可解决问题,其中n是用户设备的数量。在离散发射功率的情况下,该问题显示为2-SiC的多项式可溶性,我们还提出了K-SiC的近似算法,其中K> 2。实验评估表明,实时表演对其产生了巨大影响综合功耗和用户设备的发射功率的最大值。此外,还通过实验评估显示了低功耗应用中SiC的可用性。

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