from    
to    
search  

 


Symmetry restoration and quantum Mpemba effects in chaotic andlocalization sy...
Quantum Gases 2024
Stories of Fermions in an Optical Box
Contractive Unitary and Classical Shadow Tomography
报告题目:
清华信息大讲堂第156讲:Energy Harvesting Communications for IoT Wireless Sensors
 报告人:
Wei Zhang
Associate Professor of 
The University of New South Wales
报告时间:
2016-06-16 15:00
报告地点:
信息楼(FIT)3-326
主办单位:
信息学院
  简介:
讲演摘要
The explosive growth of Internet of Things (IoT) originates from the proliferation of smarter wireless sensor nodes in a wide range of remote monitoring applications. The IoT wireless sensor nodes need to be maintenance free and operate continuously, which will have to rely on energy harvesting for power. In this talk, we propose online discrete rate and power adaption policies for an energy harvesting communication of IoT wireless sensor nodes. The receiver periodically sends 1-bit feedback by comparing the channel power gain with a predetermined threshold. The transmitter correspondingly adjusts QAM level and transmission power based on the 1-bit feedback and the available battery energy. To determine the optimal channel threshold, adaptive M-QAM level and corresponding power allocation, we formulate a constrained optimization problem to maximize the throughput within a finite horizon. We further propose an efficient but suboptimal discrete rate and power policy. Our results show that the performance loss is negligible for the simple M-QAM adaption of the suboptimal policy that is attributed to the optimal choice of channel threshold.
 
讲演者简介
Dr. Wei Zhang (F’15) received the Ph.D. degree in Electronic Engineering from the Chinese University of Hong Kong in 2005. He was a Research Fellow at Hong Kong University of Science & Technology in 2006-2007. He joined the UNSW in 2008 and is currently an Associate Professor at School of Electrical Engineering and Telecommunications. His research interests include cognitive radio, energy harvesting communications, heterogeneous networks and massive MIMO. He has received several awards for his work, including the IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award in 2009, and three best paper awards from international conferences (Globecom2007, WCSP2011, GlobalSIP2014).
Dr. Zhang is the Editor-in-Chief of IEEE Wireless Communications Letters. He is also the Editor for IEEE Transactions on Communications and for IEEE Transactions on Cognitive Communications and Networking. Previously, he served as Editor for IEEE Transactions on Wireless Communications in 2010-2015 and Editor for IEEE Journal on Selected Areas in Communications (Cognitive Radio Series) in 2012-2014.
今日相关信息
Droplet and Particle Technologies for...
Manufacturing Goes Viral: Bio-inspire...
清华信息大讲堂第155讲:D2D, MU-MIMO an...
清华大学“烽火台”系列---第二十二期 2...
 
同类别相关信息
人工智能拓展火灾安全研究的进展
第四届清华信息前沿交叉论坛
浅谈人工智能重塑城市公共安全治理新范式
AIR学术沙龙第37期|创新智能环境:无...
有机-无机杂化二维MXene材料
学术活动