SWIPT系统的多天线和波束形成

D. W. K. Ng, Shiyang Leng, R. Schober
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引用次数: 3

摘要

全球无线通信网络的发展引发了用于电子卫生、自动控制、环境监测、能源管理和安全管理等应用的无线通信设备和传感器数量的指数级增长。预计到2020年,地球上互联设备的数量将达到500亿。最近在下一代通信系统开发方面的努力旨在提供安全、无所不在和高速的通信,并保证服务质量(QoS)。然而,发射器和接收器数量的巨大增加也导致了对能源的巨大需求。减少无线设备能耗的一项相关技术是多输入多输出(MIMO),因为它为更有效的资源分配提供了额外的自由度。特别是多用户MIMO,其中一个发射机配备多个天线服务于多个单天线接收器,被认为是实现多天线提供的潜在性能增益以提高系统频谱效率和降低发射功率的有效解决方案。另一方面,在过去的几十年里,电池供电的移动设备,如无线传感器已经被广泛部署,并成为许多无线通信网络的关键组成部分。然而,电池的能量储存能力有限,而且更换电池的成本可能很高,甚至不可能,这在无线网络中造成了性能瓶颈。因此,能量收集技术被认为是一种可行的解决方案,可以消除无线设备的最后一根电线。将能量收集(EH)能力集成到通信设备中,有助于能源有限的通信系统的自我可持续性。太阳能、风能、水电和压电是EH的主要常规能源。例如,用于收集风能和太阳能的能量收集器已成功集成到基站发射机中,用于在偏远地区提供通信服务[1]。然而,这些天然能源的可用性通常受到地点、气候和时间的限制。此外,传统能源收割机的实施可能会有问题,而来自自然资源的可再生能源可能不会
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple Antennas and Beamforming for SWIPT Systems
The development of wireless communication networks worldwide has triggered an exponential growth in the number of wireless communication devices and sensors for applications such as e-health, automated control, environmental monitoring, energy management, and safety management. It is expected that, by 2020, the number of inter-connected devices on the planet may reach 50 billion. Recent efforts in nextgeneration communication system development aim at providing secure, ubiquitous, and high-speed communication with guaranteed quality of service (QoS). However, the related tremendous increase in the number of transmitters and receivers has also led to a huge demand for energy. A relevant technique for reducing the energy consumption of wireless devices is multiple-input multiple-output (MIMO), since it offers extra degrees of freedom for more efficient resource allocation. In particular, multiuser MIMO, where a transmitter equipped with multiple antennas serves multiple single-antenna receivers, is considered an effective solution for realizing the potential performance gains offered by multiple antennas to improve the system spectral efficiency and reduce the transmit power. On the other hand, battery-powered mobile devices such as wireless sensors have been widely deployed and have become critical components of many wireless communication networks over the past decades. However, batteries have limited energy storage capacity and their replacement can be costly or even impossible, which creates a performance bottleneck in wireless networks. As a result, energy harvesting technology is foreseen as a viable solution to remove the last wires of wireless devices. The integration of energy harvesting (EH) capabilities into communication devices facilitates self-sustainability of energy limited communication systems. Solar, wind, hydroelectric, and piezoelectric are the major conventional energy sources for EH. For instance, energy harvesters for harvesting wind and solar energy have been successfully integrated into base station transmitters for providing communication services in remote areas [1]. However, the availability of these natural energy sources is usually limited by location, climate, and time of day. Besides, the implementation of conventional energy harvesters may be problematic and renewable energy from natural sources may not be
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