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Multiple Antennas and Beamforming for SWIPT Systems SWIPT系统的多天线和波束形成
Pub Date : 1900-01-01 DOI: 10.1017/9781316471845.006
D. W. K. Ng, Shiyang Leng, R. Schober
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
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
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引用次数: 3
Cognitive Radio Networks with Wireless Energy Harvesting 具有无线能量收集的认知无线网络
Pub Date : 1900-01-01 DOI: 10.1017/9781316471845.011
D. Hoang
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引用次数: 0
Sensor Networks with Wireless Energy Harvesting 无线能量收集传感器网络
Pub Date : 1900-01-01 DOI: 10.1017/9781316471845.010
Xiao Lu
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引用次数: 6
Mobile Ad-Hoc Networks and Delay-Tolerant Networks With Wireless Energy Harvesting 具有无线能量收集的移动Ad-Hoc网络和延迟容忍网络
Pub Date : 1900-01-01 DOI: 10.1017/9781316471845.012
D. Niyato
Mobile ad-hoc Networks (MANETs) are composed of mobile nodes communicating over multiple hops from a source to a destination. They do not have an infrastructure such as a base station or an access point to facilitate data transfer. Mobile nodes acting as relays receive data from the source or other relays and forward such data to the next hop until the destination has been reached. Delay-tolerant Networks (DTNs) are a special kind of MANET that will allow mobile nodes to receive, store, and forward data when they move and meet each other. Unlike in MANETs, in DTNs, there is no need for an end-to-end path from the source to the destination when the data are transferred. Thus, DTNs are suitable for non-real-time traffic, namely delay-tolerant traffic. Typically, in MANETs and DTNs, the energy supply to the mobile nodes in the networks is limited and intermittent. Additionally, mobility makes data transfer less reliable than in infrastructure-based wireless networks such as cellular systems. Therefore, when one adopts wireless energy harvesting and transfer, some related issues, e.g., routing and energy replenishment, have to be revisited. This chapter deals with wireless-powered MANETs and DTNs. Firstly, overviews of MANETs and DTNs are presented. Some issues related to energy in conventional MANETs and DTNs are discussed. Then, the chapter presents in detail energy management approaches for mobile nodes in wireless-powered MANETs and DTNs.
移动自组织网络(manet)由从源到目的的多跳通信的移动节点组成。它们没有基础设施,如基站或接入点,以促进数据传输。充当中继的移动节点从源或其他中继接收数据,并将这些数据转发到下一跳,直到到达目的地。容忍延迟网络(dtn)是一种特殊的MANET,它允许移动节点在移动和相遇时接收、存储和转发数据。与manet不同,在ddn中,当数据传输时,不需要从源到目标的端到端路径。因此,ddn适用于非实时业务,即容延迟业务。通常,在manet和dtn中,网络中移动节点的能源供应是有限的和间歇性的。此外,移动性使得数据传输不如基于基础设施的无线网络(如蜂窝系统)可靠。因此,当采用无线能量收集和传输时,需要重新考虑路由和能量补充等相关问题。本章讨论无线供电的manet和ddn。首先,对manet和ddn进行了概述。讨论了传统manet和ddn中有关能量的一些问题。然后,本章详细介绍了无线供电manet和ddn中移动节点的能量管理方法。
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引用次数: 0
Circuit Design for Wireless Energy Harvesting 无线能量收集电路设计
Pub Date : 1900-01-01 DOI: 10.1017/9781316471845.003
Min Jae Kim, K. Choi, Dong In Kim, Youngoo Yang, Kangyoon Lee, K. Hwang
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引用次数: 1
Ambient Wireless Energy Harvesting in Small Cell Networks: Performance Modeling and Analysis 环境无线能量收集在小蜂窝网络:性能建模和分析
Pub Date : 1900-01-01 DOI: 10.1017/9781316471845.009
A. Sakr, H. Tabassum, E. Hossain
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引用次数: 0
Basics of Wireless Energy Harvesting and Transfer 无线能量收集和传输的基础知识
Pub Date : 1900-01-01 DOI: 10.1017/9781316471845.002
D. Niyato, E. Hossain, Xiao Lu
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引用次数: 2
Cooperative Networks with Wireless Energy Harvesting 无线能量收集的合作网络
Pub Date : 1900-01-01 DOI: 10.1017/9781316471845.005
S. Lohani, Roya Arab Loodaricheh, Shankhanaad Mallick, E. Hossain, V. Bhargava
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引用次数: 1
Backscattering Wireless-Powered Communications 反向散射无线通信
Pub Date : 1900-01-01 DOI: 10.1017/9781316471845.007
D. Hoang
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引用次数: 0
Dedicated Wireless Energy Harvesting in Cellular Networks: Performance Modeling and Analysis 蜂窝网络中专用无线能量收集:性能建模与分析
Pub Date : 1900-01-01 DOI: 10.1017/9781316471845.008
H. Tabassum, E. Hossain
Energy harvesting in wireless cellular networks is a cornerstone of emerging 5G and beyond 5G (B5G) cellular networks as it aims to “cut the last wires” of the existing wireless devices [1]. In particular, energy harvesting has a significant potential to attract subscribers since it promotes mobility and connectivity anywhere and anytime, which is one of the key visions of next-generation wireless networks. In general, wireless energy harvesting can be classified according to the following two categories.
无线蜂窝网络的能量收集是新兴5G及超5G (B5G)蜂窝网络的基石,其目标是“切断现有无线设备[1]的最后一根电线”。特别是,能量收集技术可以随时随地提高移动性和连接性,这是下一代无线网络的核心愿景之一,因此具有吸引用户的巨大潜力。一般来说,无线能量收集可以分为以下两类。
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引用次数: 1
期刊
Wireless-Powered Communication Networks
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