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Joint optimization of power splitting and allocation for SWIPT in interference alignment networks

机译：干扰对准网络中SWIPT功率分配和分配的联合优化

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摘要

Interference alignment (IA) is a promising solution for interference management in wireless networks. On the other hand, simultaneous wireless information and power transfer (SWIPT) has become an emerging technique. Although some works have been done on IA and SWIPT, these two important areas have traditionally been addressed separately in the literature. In this paper, we propose to use a common framework to jointly study IA and SWIPT with perfect channel state information (CSI). We analyze the performance of SWIPT in IA networks. Specifically, we derive the upper bound of the power that can be harvested in IA networks. In addition, we show that, to improve the performance of wireless power transfer and information transmission, users should be dynamically selected as energy harvesting (EH) or information decoding (ID) terminals. Furthermore, we design two easy-implemented SWIPT-user selection (SWIPT-US) algorithms in IA networks based on the assumption of perfect CSI. To optimize the ID and EH performance of SWIPT in IA networks, a power-splitting optimization (PSO) algorithm is proposed when power splitters are available, and its closed-form optimal solutions are derived. Power allocation in the PSO algorithm is also studied to further optimize the performance. Simulation results are presented to show the effectiveness of the proposed algorithms.
机译：干扰对齐（IA）是无线网络中干扰管理的有前途的解决方案。另一方面，同时进行的无线信息和功率传输（SWIPT）已成为一种新兴技术。尽管已经在IA和SWIPT上进行了一些工作，但是传统上在文献中分别解决了这两个重要领域。在本文中，我们建议使用一个通用框架来结合具有完美信道状态信息（CSI）的IA和SWIPT进行联合研究。我们分析了SWIPT在IA网络中的性能。具体来说，我们推导了可以在IA网络中收集的功率的上限。此外，我们表明，为提高无线电力传输和信息传输的性能，应动态选择用户作为能量收集（EH）或信息解码（ID）终端。此外，基于理想CSI的假设，我们在IA网络中设计了两种易于实现的SWIPT用户选择（SWIPT-US）算法。为了优化IA网络中SWIPT的ID和EH性能，提出了一种在功率分配器可用时的功率分配优化（PSO）算法，并推导了其闭式最优解。还研究了PSO算法中的功率分配，以进一步优化性能。仿真结果表明了所提算法的有效性。

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