邓娜

个人信息Personal Information

副教授

硕士生导师

性别:女

毕业院校:中国科学技术大学

学位:博士

所在单位:信息与通信工程学院

办公地点:创新园大厦B0413

电子邮箱:dengna@dlut.edu.cn

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The Energy and Rate Meta Distributions in Wirelessly Powered D2D Networks

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论文类型:期刊论文

发表时间:2019-02-01

发表刊物:IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

收录刊物:SCIE、Scopus

卷号:37

期号:2

页面范围:269-282

ISSN号:0733-8716

关键字:Wireless energy and information transfer; wire-less energy transfer; D2D communication; stochastic geometry; meta distribution

摘要:As a key enabling technology for truly sustainable operation of devices, wireless energy and information transfer (WEIT) has attracted significant attention in wireless com-munication networks. Previous works on WEIT network analysis mostly concentrated on the energy outage probability or the expectation of the transferred energy at the typical wirelessly powered device using stochastic geometry. These calculations are relatively straightforward, but they only provide limited information on the energy extracted by the individual devices. This paper considers a WEIT-enabled device-to-device (D2D) network with the ambient RF transmitters distributed according to a Poisson point process and focuses on the meta distribution of the transferred energy, which is the distribution of the conditional energy outage probability given the locations of the RF transmitters, to show what fraction of devices in the network satisfy the target energy outage constraint if the required transmission energy is given. Furthermore, we derive the meta distribution of the transmission rate under an energy outage constraint and introduce a new notion of transmission efficiency, termed wirelessly powered spatial transmission efficiency, which is defined as the density of concurrently active links that rely on the wireless energy transfer technique and satisfy a certain reliability constraint that has a rate greater than a predefined threshold. Our analysis provides insightful guidelines for the most efficient way to operate a WEIT-enabled self-sustainable D2D communication network.