AI 中文总结
本文提出SWIPT增强的无细胞大规模MIMO网络，推导相关性能表达式，构建耦合上下行优化问题，通过数值结果分析频谱效率等间的权衡关系。
AI 中文摘要
无线信息与能量同步传输（SWIPT）被认为是极具前景的技术，可为基于物联网（IoT）的无线网络中低功耗无线设备提供近乎持久的运行能力。本文提出一种SWIPT增强的无细胞大规模MIMO网络，该网络中大量空间分布的接入点（AP）通过中央处理单元（CPU）互连，可在相同时频资源上协同服务大量需无线能量传输的能量收集移动台（MS）及无需无线能量传输的常规MS。研究考虑空间相关的莱斯衰落信道，采用基于不同信道估计器的多种预编码方案，这些估计器对视距分量的假设知识存在差异。推导了下行链路（DL）能量收集阶段的可收集能量，以及上行链路（UL）有效载荷传输阶段的可实现频谱效率和能量效率的数学可处理表达式。构建了耦合的UL/DL优化问题，旨在找到功率控制系数，以最大化所有MS的加权可实现UL信干噪比（SINR）的最小值。给出了大量数值结果，以凸显可实现频谱效率与能量效率、可收集能量、用于UL导频传输的能量或系统配置之间存在的权衡关系。
英文摘要
Simultaneous wireless information and power transfer (SWIPT) has been advocated as a highly promising technology to provide near-perpetual operation to low-powered wireless devices in Internet-of-Things (IoT)-based wireless networks. In this paper, a SWIPT-enhanced cell-free massive MIMO network is proposed. In such a network, a large set of spatially distributed access points (APs) interconnected via a central processing unit (CPU) can collaboratively serve a large number of both energy harvesting mobile stations (MSs) (requiring wireless energy transfer) and conventional MSs (not requiring wireless energy transfer) on the same time-frequency resources. We consider spatially correlated Rician fading channels and the use of different precoding schemes that are based on different channel estimators differing on the assumed knowledge of the line-of-sight component. Mathematically manageable expressions are derived for the harvested energy during the downlink (DL) energy harvesting phase and the achievable spectral and energy efficiencies during the uplink (UL) payload transmission phase. A coupled UL/DL optimization problem is formulated aiming at finding the power control coefficients that maximize the minimum of the weighted achievable UL signal-to-interference-plus-noise ratios (SINRs) of all MSs. Extensive numerical results are presented that serve to highlight the existing trade-offs among the achievable spectral and energy efficiencies, the harvested energy, the energy dedicated to UL pilot transmission or the system configuration.
CommentsAuthor Accepted Manuscript. Published in IEEE Transactions on Communications. The final published version is available at: https://doi.org/10.1109/TCOMM.2021.3083644. Copyright © 2021 IEEE
Journal refG. Femenias, J. García-Morales and F. Riera-Palou, "SWIPT-Enhanced Cell-Free Massive MIMO Networks," in IEEE Transactions on Communications, vol. 69, no. 8, pp. 5593-5607, Aug. 2021
DOI：10.1109/TCOMM.2021.3083644
