In order to address the shortcomings of orthogonal frequency division multiplexing (OFDM) and extend the lifetime of energy-constrained Internet-of-Things (IoT) devices, the combination of filter bank multi-carrier (FBMC) and simultaneous wireless information and power transfer (SWIPT) is investigated in this paper. Specifically, a multi-user FBMC-based SWIPT system is proposed in which user nodes (UNs) have the capability for both energy harvesting (EH) and information decoding (ID) with the aid of separate antennas. A practical non-linear EH model, which considers the saturation effects of the EH circuit, is considered. The information receiver at both the UNs and base station (BS) adopts an iterative interference cancellation (IIC) receiver to cancel the intrinsic interference in the demodulated FBMC signal. A sum-rate maximization problem is solved to jointly optimize parameters such as time, power, and weight allocations. Sub-optimal schemes are proposed for comparison. Numerical results show that the optimal solution significantly outperforms the sub-optimal methods in terms of achievable sum-rate and amount of harvested energy. Moreover, the results show that the proposed algorithm converges within a few iterations.

中文翻译：

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基于FBMC的IoT网络中的多用户无线信息和功率传输

为了解决正交频分复用（OFDM）的缺点并延长能量受限的物联网（IoT）设备的寿命，将滤波器组多载波（FBMC）与同时进行的无线信息和功率传输相结合（SWIPT）在本文中进行了研究。具体而言，提出了一种基于多用户FBMC的SWIPT系统，其中用户节点（UN）借助单独的天线具有能量收集（EH）和信息解码（ID）的能力。考虑了一个实际的非线性EH模型，该模型考虑了EH电路的饱和效应。UN和基站（BS）上的信息接收器均采用迭代干扰消除（IIC）接收器来消除已解调FBMC信号中的固有干扰。解决了总速率最大化问题，以共同优化诸如时间，功率和权重分配之类的参数。提出了次优方案用于比较。数值结果表明，在可实现的总速率和能量采集量方面，最优解明显优于次优方法。此外，结果表明，所提出的算法在几次迭代中收敛。