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【演講宣傳】2019年12月18日(三) ~ 12月20日(五),邀請到Prof. Zhu Han演講「Delay Analysis from Martingale to Stochastic Net
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演講 教職員生 2019/12/03 2019/12/21 工程四館

聯絡人:曾紫玲    聯絡電話:54599

IBM中心特別邀請到Prof. Zhu Han(University of Houston)前來為我們演講,歡迎有興趣的老師與同學報名參加!


演講標題:Delay Analysis from Martingale to Stochastic Network Calculus to LyapunovAerial Access Networks for 6G: From UAV, HAP, to Satellite Communication NetworksAssorted Topics: Energy Harvesting, Full Duplex, and Hypergraph

  者:Prof. Zhu Han

      間:2019/12/18() 09:00 ~ 12:00  /交大工程四館816(智易空間)

          2019/12/19() 13:20 ~ 16:30/ 交大工程四館B06

          2019/12/20() 09:00 ~ 12:00 /交大工程四館816(智易空間




費用:校內老師、學生免費 (2) 校外人士(老師)1500/人,校外學生300/







          戶名: 曾紫玲(國泰世華銀行 竹科分行013

          帳號: 075506235774 (國泰世華銀行 竹科分行013




聯絡方式:曾紫玲  Tel03-5712121分機54599



1. Delay Analysis from Martingale to Stochastic Network Calculus to Lyapunov


We starts from Markov chain Monte Carlo (MCMC) methods to building the gateway from real sampled distribution to Markov model. Then we study the martingale, which can be viewed as the extension of effective-capacity, and is a concept which has been instrumental in teletraffic theory to model the link-layer and analyze QoS metrics. Third, we study the network calculus, which is a theory dealing with queuing systems found in computer networks. Its focus is on performance guarantees. Central to the theory is the use of alternate algebras such as the min-plus algebra to transform complex network systems into analytically tractable systems. To simplify the analysis, another idea is to characterize traffic and service processes using various bounds. Finally, we study the Lyapunov stability theory, which is critical to the analysis of the stability of dynamical systems, especially nonlinear ones. In the communication society, the Lyapunov optimization framework has been proposed to take the stability of networked queuing systems into consideration. Using the Lyapunov optimization framework, we can design dynamic control algorithm for communication networks.


2. Aerial Access Networks for 6G: From UAV, HAP, to Satellite Communication Networks


There are three main objectives of writing this tutorial. The first objective is to provide a general introduction to AANs integrated networks based on physical, MAC, and networking layer requirements. The second objective is to introduce the key components and the corresponding techniques to enable AANs communications systems, and the related design, analysis, and optimization problems will be presented in a comprehensive way. The third objective is to elaborate on the state-of-the-art of AANs along with possible applications. This will include classifications of the different schemes and the technical details in each scheme. Many examples will be illustrated in details so as to provide a wide scope for general audience.


3. Assorted Topics: Energy Harvesting, Full Duplex, and Hypergraph


1.      We present a literature review on the research progresses in wireless networks with RF energy harvesting capability, which is referred to as RF energy harvesting networks (RF-EHNs). First, we present an overview of the RF-EHNs including system architecture, RF energy harvesting techniques, and existing applications. Then, we present the state-of-the-art circuitry implementations and what our group in University of Houston has done in circuit design. Next, we also explore various key design issues in the development of RF-EHNs according to the network types, i.e., single-hop networks, multi-antenna networks, relay networks, and cognitive radio networks. Finally, we provide a detailed example on RF-EHNs optimization.

2.      This talk aims to present the latest development and future directions of resource allocation in different full duplex systems by exploring the network resources in different domains, including power, space, frequency, and device dimensions. Four representative application scenarios are considered: FD MIMO networks, FD cooperative networks, FD OFDMA cellular networks, and FD heterogeneous networks. Resource management problems and novel algorithms in these systems are presented, and key open research directions are discussed. Then, we will concentrate on the use of resource allocation tools (such as optimization and game theory) to analyze and design FD wireless networks.

3.      In this talk, we introduce the basic preliminaries of hypergraph theory in general, and place more emphasis on three kinds of hypergraph based approaches, i.e., hypergraph coloring, hypergraph matching, and hypergraph clustering. With the assistance of these effective approaches, we provide three emerging application cases for wireless networking, including D2D underlay communications, mobile edge computing, and user-centric ultra-dense networks. By integrating hypergraph based approaches into these wireless scenarios, we demonstrate how the hypergraph models and related algorithms can be utilized to effectively tackle resource allocation problems.



Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and Computer Engineering Department as well as Computer Science Department at University of Houston, Texas. His research interests include security, wireless resource allocation and management, wireless communications and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER award recipient 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communications Systems (Best Paper Award for IEEE Journal on Selected Areas on Communications). Dr. Han has been IEEE fellow since 2014 and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is 1% highly cited researcher according to Web of Science since 2017.