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Precoding Design for Energy Efficiency Maximization in MIMO Half-Duplex Wireless Sensor Networks with SWIPT

机译：带有SWIPT的MIMO半双工无线传感器网络中能效最大化的预编码设计

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摘要

This paper explores the energy efficiency (EE) maximization problem in single-hop multiple-input multiple-output (MIMO) half-duplex wireless sensor networks (WSNs) with simultaneous wireless information and power transfer (SWIPT). Such an energy efficiency maximization problem is considered in two different scenarios, in which the number of energy-harvesting (EH) sensor nodes are different. In the scenario where the single energy-harvesting sensor node is applied, the modeled network consists of two multiple-antenna transceivers, of which the energy-constrained energy-harvesting sensor node harvests energy from the signals transmitted from the source by a power splitting (PS) scheme. In the scenario of multiple EH sensor nodes, energy-constrained sensor nodes are applied and the same quantity of antennas are equiped on each of them. The optimization problem is formulated to maximize the energy efficiency by jointly designing the transceivers’ precoding matrices and the PS factor of the energy-harvesting sensor node. The considered constraints are the required harvested energy, the transmission power limit and the requirement on the data rate. The joint design of the precoding matrices and the PS factor can be formulated as an optimization problem, which can be transformed into two sub-problems. An alternating algorithm based on Dinkelbach is proposed to solve the two sub-problems. The convergence of the proposed alternating algorithm, the solution optimality and the computational complexity are analyzed in the paper. Simulation results demonstrate the convergence and effectiveness of our proposed algorithm for realizing the maximum energy efficiency.
机译：本文探讨了同时具有无线信息和功率传输（SWIPT）的单跳多输入多输出（MIMO）半双工无线传感器网络（WSN）中的能效（EE）最大化问题。在两个不同的场景中考虑了这样的能量效率最大化问题，其中能量收集（EH）传感器节点的数量不同。在应用单个能量收集传感器节点的情况下，模型化网络由两个多天线收发器组成，其中受能量限制的能量收集传感器节点通过功率分配从源发送的信号中收集能量（ PS）方案。在多个EH传感器节点的情况下，将应用能量受限的传感器节点，并在每个节点上配备相同数量的天线。通过联合设计收发器的预编码矩阵和能量收集传感器节点的PS因子，提出了优化问题以最大化能量效率。考虑的约束是所需的采集能量，传输功率限制以及对数据速率的要求。预编码矩阵和PS因子的联合设计可以表述为一个优化问题，可以转化为两个子问题。提出了一种基于Dinkelbach的交替算法来解决两个子问题。本文分析了所提出的交替算法的收敛性，解的最优性和计算复杂度。仿真结果证明了我们提出的算法的收敛性和有效性，以实现最大的能量效率。

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