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Optimal Resource Allocation for SWIPT with Full-Duplex Operation and Secrecy

机译：具有全双工操作和保密的SWITP的最佳资源分配

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摘要

In this paper, we study optimal resource allocation strategies for SWIPT focusing on the throughput and energy efficiency of a hybrid system that consists of an energy harvesting unit (EHU) and non-energy harvesting nodes. In addition, we consider an access point (AP) that operates in full duplex mode, i.e., it broadcasts radio frequency signal to power EHU over downlink channel while decoding the information transmitted uplink by the non-harvesting nodes. These nodes send the information-bearing signal to the AP and EHU with non-zero mean. We formulate throughput maximizing optimization problems considering two scenarios for the operation protocol of EHU. In the first scenario, EHU harvests energy but does not decode the information in the received signal. In the second case, EHU is untrusted and it could attempt to eavesdrop the information transmitted by other nodes. In both cases, we derive explicit expressions for the optimal power control policies, and we provide iterative algorithms to obtain the globally optimal solutions. Besides, we formulate an optimization problem that maximizes the system energy efficiency by taking the harvested energy constraint at the EHU into account. For the ease of analysis, we first characterize energy-efficient strategies considering a two-user model, and then generalize to multiple users settings. We also characterize the impact of harvested energy constraint on the optimal system energy efficiency and the significance of introducing non-zero mean input signal on the overall performance. To justify this theoretical framework, we provide simulation results.
机译：在本文中，我们研究了SWIPT的最佳资源分配策略，专注于混合系统的吞吐量和能量效率，包括能量收集单元（EHU）和非能量收集节点。另外，我们考虑在全双工模式下操作的接入点（AP），即，它在下行链路通道上广播射频信号以通过非收集节点解码发送上行链路的信息。这些节点向AP和EHU发送信息承载信号，非零平均值。考虑到ehu操作协议的两个方案，我们制定吞吐量最大化优化问题。在第一场景中，ehu收获能量但不解码接收信号中的信息。在第二种情况下，ehu是不受信任的，它可能试图窃听由其他节点传输的信息。在这两种情况下，我们都可以获得最佳功率控制策略的明确表达式，我们提供迭代算法以获得全局最佳解决方案。此外，我们制定了一种优化问题，通过考虑到ehu的收获能量限制来最大化系统能效。为了易于分析，我们首先表现了考虑两个用户模型的节能策略，然后概括到多个用户设置。我们还表征了收获的能量限制对最优系统能效的影响以及引入非零平均输入信号对整体性能的重要性。为了证明这种理论框架，我们提供模拟结果。

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