Joint optimization for PS-based SWIPT Multiuser Systems with Non-linear Energy Harvesting

T. Vu, S. Chatzinotas, S. Gautam, E. Lagunas, B. Ottersten
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引用次数: 4

Abstract

In this paper, we investigate the performance of simultaneous wireless information and power transfer (SWIPT) multiuser systems, in which a base station serves a set of users with both information and energy simultaneously via a power splitting (PS) mechanism. To capture realistic scenarios, a nonlinear energy harvesting (EH) model is considered. In particular, we jointly design the PS factors and the beamforming vectors in order to maximize the total harvested energy, subjected to rate requirements and a total transmit power budget. To deal with the inherent non-convexity of the formulated problem, an iterative optimization algorithm is proposed based on the inner approximation method and semide-finite relaxation (SDR), whose convergence is theoretically guaranteed. Numerical results show that the proposed scheme significantly outperforms the baseline max-min based SWIPT multicast and fixed-power PS designs.
非线性能量采集的基于ps的SWIPT多用户系统联合优化
本文研究了同时无线信息和能量传输(SWIPT)多用户系统的性能,其中基站通过功率分割(PS)机制同时为一组用户提供信息和能量。为了捕捉真实的场景,考虑了非线性能量收集(EH)模型。特别是,我们共同设计了PS因子和波束形成矢量,以便在满足速率要求和总发射功率预算的情况下最大限度地获取总能量。针对该问题固有的非凸性,提出了一种基于内逼近法和半有限松弛(SDR)的迭代优化算法,该算法的收敛性在理论上得到了保证。数值结果表明,该方案明显优于基于基线max-min的SWIPT组播和固定功率PS设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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