演 講 者:廖婉君教授



Energy savings in cellular systems is increasingly important due to ever-deteriorating global warming. Heterogeneous networks (HetNets) composed of multiple tiers of cells could attain energy savings thanks to the lower operational and transmit power consumptions of small cells. To address the inter-cell interference problem while achieving network energy conservation, multicell cooperation facilitating cooperative transmission and sleep mode operation paves the way toward future green HetNets. To further alleviate the backhaul power consumption induced by cooperative transmissions, proactively caching popular contents locally is regarded as a viable solution. This talk will focus on how to achieve energy-aware multicell cooperation in HetNets with content caching, and show that the place-then-transmit strategy is optimal to this problem. I will then talk about how green multicell cooperation and shareable caching in HetNets can be facilitated via a connect-then-cache strategy. Both of the above two problems are NP-hard; therefore, we are motivated to design approximate solutions and show that the achieved total power consumption can be upper-bounded.


Professor Wanjiun Liao is a Lifetime Distinguished Professor of National Taiwan University (NTU), Taipei, Taiwan, the Director of Internet of Things Research Center of NTU, and an Adjacent Research Fellow of Research Center for Information Technology Innovation, American Sinica in Taiwan. She was the Y. Z. Hsu Scientific Chair Professor, the Himax Chair Professor, the Department Chair of Electrical Engineering of NTU (台大電機系主任), the Vice President for Academic Affairs of NTU (台大教務長), and the Director General of Department of Engineering and Technologies, Ministry of Science and Technology (MOST), Taiwan (科技部工程司司長). Professor Liao has been very active in IEEE and ComSoc, serving as IEEE ComSoc Distinguished Lecturer (2011-2012), Associate Editor of IEEE Transactions on Wireless Communications (2003-2010) and IEEE Transactions on Multimedia (2004-2007), Steering Committee of IEEE Transactions on Mobile Computing (2016-2018), IEEE Fellow Committee (2013-2015), IEEE ComSoc Fellow Evaluation Standing Committee (2016-2018), IEEE ComSoc Director for Asia Pacific Region (Region 10) (2013-2014), and IEEE ComSoc Board-of Governors (BoG) Members-at-Large (2017-2019). She received many awards and recognitions from different organizations, including Academic Award by Ministry of Education (教育部學術獎), Outstanding Research Awards by National Science Council for 3 times (三次國科會研究傑出獎), and several IEEE best paper awards. She is a Fellow of the IEEE.

演 講 者:田伯隆教授





田伯隆副教授(男):1992年畢業於國立交通大學應用數學系; 1995年取得國立交通大學資訊科學碩士學位; 2000年獲得國立交通大學資訊工程博士學位。從2001年至2005年,他任職於國立交通大學資訊工程系擔任研究助理教授。從2005年開始,他擔任國立交通大學電機工程學系副教授一職。在國際學術服務方面,田教授曾經擔任許多知名國際會議,例如IEEE GLOBECOM,WCNC,HPSR等等之技術議程委員。他目前的研究領域包含光資料中心網路,網路最佳化,機器學習,以及平行計算。他目前是IEEE會員。到目前為止已獲得20多個美國,台灣,及中國大陸在光纖及無線網路方面的專利。並擁有超過50篇國際學術著作,以及兩個國際專書章節。

演 講 者:吳卓諭教授



In this talk, we introduce an energy-efficient sensor censoring scheme for distributed sparse signal recovery via compressive-sensing based wireless sensor networks. In the proposed approach, each sensor node employs a sparse sensing vector with known support for data compression. This naturally leads to a ternary censoring protocol, whereby each sensor (i) directly transmits the real-valued compressed data if the sensing vector support is detected to be overlapped with the signal support, (ii) sends a one-bit hard decision if empty support overlap is inferred, (iii) keeps silent if the measurement is judged to be uninformative. We propose a design criterion for sensor censoring from a detection theory perspective, and derive the closed-form optimal censoring rule. To aid global signal reconstruction, we then propose a modified L1-minimization based algorithm, which exploits certain sparse nature of the hard decision vector received at the fusion center. Analytic performance guarantees based on the restricted isometry property of the sensing matrix are also obtained. Computer simulations are used to illustrate the performance of the proposed scheme.


Jwo-Yuh Wu received the B.S., M.S., and Ph.D. degrees from National Chiao Tung University, Taiwan, in 1996, 1998, and 2002, respectively, all in electrical and control engineering. From 2003 to 2007, he was a Post-Doctoral Research Fellow with the Department of Communications Engineering, National Chiao Tung University. Since 2008, he has been with the Department of Electrical and Computer Engineering, and the Institute of Communications Engineering, National Chiao Tung University, where he is currently a full professor. His general research interests are in signal processing, wireless communications, control systems, and linear algebra. He received several research awards, including the 2015 Academia Sinica Research Award for Junior Research Investigators, the Ta-You Wu Memorial Award from the Ministry of Science and Technology of Taiwan in 2014, the 12th Y. Z. Hsu Scientific Paper Award (Communication Technology Category) in 2014, and the 2013 Best Paper Award for Young Scholars by the IEEE Information Theory Society Taipei Chapter and the IEEE Communications Society Taipei/Tainan Chapter. He served as the Chair of the IEEE Information Theory Society Taipei Chapter from 2017 to 2019.

演 講 者:魏宏宇教授

演講主題:自主式動態分時多工之微型基地台: 由理論至通信標準


Through using a dynamic time-division duplexing (TDD) method, network operators can flexibly adapt to traffic variations. On the other hand, cross-link interference appears in a dynamic TDD network and may cause system performance degradation. In this talk, the dynamic TDD operations in LTE and 5G NR will be introduced. To improve wireless Quality of Experience (QoE), a reinforcement learning approach will be applid for dynamic TDD SON (Self-Organized Network) operation.


Hung-Yu Wei is a Professor in Department of Electrical Engineering and Graduate Institute of Communications Engineering, National Taiwan University. He received the B.S. degree in electrical engineering from National Taiwan University in 1999. He received the M.S. and the Ph.D. degree in electrical engineering from Columbia University in 2001 and 2005 respectively. He joined Department of Electrical Engineering at the National Taiwan University in July 2005.
He received NTU Excellent Teaching Award (台大教學優良獎) in 2008 and 2018. He also received "Recruiting Outstanding Young Scholar Award" from the Foundation for the Advancement of Outstanding Scholarship (傑出人才發展基金會"積極爭取國外優秀青年學者獎助") in 2006, K. T. Li Young Researcher Award (李國鼎青年研究獎) from ACM Taipei/Taiwan Chapter and The Institute of Information and Computing Machinery in 2012, Ministry of Science and Technology Research Project for Excellent Young Scholars (科技部優秀年輕學者計畫) in 2014, Excellent Young Engineer Award from the Chinese Institute of Electrical Engineering (中國電機工程學會優秀青年電機工程師獎) in 2014, and Wu Ta You Memorial Award from MOST(吳大猷先生紀念獎) in 2015. He served as a division director in NTU Computer and Information Networking Center during 2016-2017.He has been actively participating in NGMN, IEEE 802.16, 3GPP, IEEE P1934 standardization, and was a voting member of the IEEE 802.16 working group. He serves as Vice Chair of IEEE P1934 Working Group to standardize fog computing and networking architecture.

演 講 者:林士駿教授



Advanced interference management is the key feature for 5G eMBB communication scenario. In this talk, we focus interference managements respectively for two relay-aided multi-user communications: the two-pair two-way relay channel and relay-assisted joint uplink and downlink transmissions in CRAN. For the two-pair two-way relay channel, we aim to find the (close-to) optimal scheme. Moreover, due to the interference from short-packet transmissions such as URLLC or mMTC, the link connectively in the considered channel can be intermittent. We show that properly use the feedback of intermittent (bursty) channel states to the transmitter can significantly enlarge the capacity region. Finally, a joint uplink and downlink beamforming design problem for 5G CRAN is formulated, and a solver guaranteed to reach a KKT solution is proposed.


Shih-Chun Lin received the B.S. and Ph.D. degrees in electrical engineering from the National Taiwan University, Taipei, Taiwan, in 2000 and 2007, respectively. He was a Visiting Student with The Ohio State University, Columbus, OH, USA, in 2007. From 2011 to 2012, he was an Assistant Professor with the National Taipei University of Technology. He joined the National Taiwan University of Science and Technology, Taipei, Taiwan, in fall 2012 and is currently an Associate Professor. His research interests include information theory, communications, and cyber-physical security. He serves as the TPC Chair of IEEE ICC Workshop on B5G-URLLC 2019. Dr. Lin received the Best Paper Award for Young Authors from the IEEE IT/COM Society Taipei/Tainan Chapter in 2015, and twice the Project for Excellent Junior Research Investigators from the Ministry of Science and Technology, Taiwan, in 2015 and 2018.

演 講 者:Prof. Vincent Y. F. Tan
      Department of Electrical and Computer Engineering
      Department of Mathematics,
      National University of Singapore

演講主題:On the Maximum Size of Block Codes Subject to a Distance


We establish a general formula for the maximum size of finite length block codes with minimum pairwise distance no less than d. The achievability argument involves an iterative construction of a set of radius-d balls, each centered at a codeword. We demonstrate that the number of such balls that cover the entire code space cannot exceed this maximum size. Our approach can be applied to codes i) with elements over arbitrary code alphabets, and ii) under a broad class of distance measures. Our formula indicates that the maximum code size can be fully characterized by the cumulative distribution function of the distance measure evaluated at two independent and identically distributed random codewords. When the two random codewords assume a uniform distribution over the entire code alphabet, our formula recovers and thus naturally generalizes the Gilbert-Varshamov (GV) lower bound. Finally, we extend our study to the asymptotic setting. This is joint work with Ling-Hua Chang (Yuan Ze University), Po-Ning Chen (NCTU), Carol Wang (NUS) and Yunghsiang Han (Dongguan University).


Vincent Y. F. Tan was born in Singapore in 1981. He is currently a Dean's Chair Associate Professor in the Department of Electrical and Computer Engineering (ECE) and the Department of Mathematics at the National University of Singapore (NUS). He received the B.A. and M.Eng. degrees in Electrical and Information Sciences from Cambridge University in 2005. He received the Ph.D. degree in Electrical Engineering and Computer Science (EECS) from the Massachusetts Institute of Technology in 2011. His research interests include information theory, machine learning and statistical signal processing. He is currently a Distinguished Lecturer of the IEEE Information Theory Society (2018/19).

演 講 者:Prof. Hoi To Wai
      Dept. of Systems Engineering and Engineering Management,
     Chinese University of Hong Kong (CUHK)

演講主題:Inferring Features of the Graph Topology without the Topology


Inferring the graph topology embodying interactions between entities (nodes) is a challenging yet important problem in various disciplines. However, to guarantee successful inference, existing methods are based on simple models or strong assumptions on data which renders them far from being useful in practice. Furthermore, for analyzing large dataset, often times inferring the topology is only the first step, while instead the final goal is to analyze summary information of the topology such as communities and node centralities - features of the topology that are “interpretable". This talk introduces a graph topology feature inference method where our specific aim is to infer the community that a node belongs to directly from the data, even when the topology is unknown. At the core of our development is a graph signal model which encapsulates a broad range of network processes such as Nash equilibriums of quadratic games and opinion dynamics. It also captures a number of non-idealities such as low-rankness arising from actual data, where the previous methods are poised to fail. Our rationale is that communities give a low resolution representation of the graph topology, and therefore it is possible to perform inference even under weaker set of assumptions on data model. Our theoretical and empirical analysis affirm this intuition. In particular, by reasoning with a low-pass feature of graph filters beneath the graph signals observed, we show that the principal component analysis (PCA) method corresponds to approximating spectral clustering, which is a classical method for community detection when the network topology is known; and a robust PCA method can be applied to further "boost" the approximation quality. This is a joint work with Santiago Segarra (Rice), Asu Ozdaglar, Ali Jadbabaie (MIT), and Anna Scaglione (ASU).


Hoi-To Wai received his PhD degree from Arizona State University (ASU) in Electrical Engineering in Fall 2017, B. Eng. (with First Class Honor) and M. Phil. degrees in Electronic Engineering from The Chinese University of Hong Kong (CUHK) in 2010 and 2012, respectively. Since December 2018, he is an Assistant Professor in the Department of System Engineering & Engineering Management at his Alma Mater, CUHK. Previously, he has held research positions at ASU, UC Davis, Telecom ParisTech, Ecole Polytechnique, and MIT’s LIDS. Hoi-To's research interests are in the broad area of signal processing, machine learning and distributed optimization, with a focus of their applications to network science. His dissertation has received the 2017's Dean's Dissertation Award from the Ira A. Fulton Schools of Engineering of ASU and he is a recipient of a Best Student Paper Award at ICASSP 2018.

演 講 者:黃昱智教授

演講主題:Lattice index coding: A review and extensions


The Index coding problem studies efficiently broadcasting a set of messages over noiseless channel to users, where each of them already has a subset of messages as side information. However, in practice, wireless channels are hardly noiseless. On the other hand, channel coding is an efficient method for combating with physical-layer noise; but it is not necessarily good in terms of exploiting side information. In this talk, a novel technique, called lattice index coding, trying to jointly address physical-layer uncertainties and side information is considered. I will first review lattice index coding introduced by Natarajan, Hong, and Viterbo. I will then talk about some extensions of lattice index coding to environments where signals may experience fading and devices may have multiple antennas.


Yu-Chih (Jerry) Huang received the B.S. degree from Chung Yuan Christian University, Chungli, Taiwan, the M.S. degree from National Tsing Hua University, Hsinchu, Taiwan, and the Ph.D degree from Texas A&M University (TAMU), College Station, TX, USA, in 2003, 2005, and 2013, respectively. He was a postdoctoral research associate at TAMU from 2013 to 2015. Since February 2015, he has been with the Department of Communication Engineering, National Taipei University, Taiwan, where he is currently an Associate Professor. In 2012, he spent the summer as a research intern in Bell Labs, Alcatel-Lucent. His research interests are in network information theory, coding theory, lattice codes, and wireless communications.

演 講 者:彭松村教授

演講主題:Electromagnetics in Retrospect and Prospect


Electromagnetics has a long, glorious history in basic sciences and practical applications; it is the underlying foundation of the discipline of electrical engineering that built up the backbone of modern society and impact greatly on socio-economic development of the world. It is gratifying to witness the blooming development of electrical engineering, and new subjects have been introduced timely into the curriculum, while maintaining the academic rigorousness and completeness. On the other hand, although the course on electromagnetic theory is the foundation of electrical-engineering curriculum, it is generally perceived by students as a subject that is hard to learn because of its abstractness, requiring relatively high mathematical skills to handle complicated physical processes. Therefore, it is desirable to find a way to develop a set of teaching materials that are suitable for the course on electromagnetics, so that students may be comfortably ushered into this important area of study. To conform to the theme of this conference: "The next decade of EM field ", this talk will present a review of the progresses of electromagnetic theory and applications for the past six decades, based on the writer’s personal experiences. The wealth of knowledge and wisdom on electromagnetics is tremendous in the literature; while the fruitful results are enjoyable, they may have overwhelmed the learners. In the age of information explosion, it is important to select and crystallize the scientific contents for the ease of education and for facilitating research in the future, as described below. On the part of education, the first task is to re-examine the process of establishing a solid foundation of electromagnetics and to simplify and streamline the learning materials for students to grasp main ideas with relative ease. It begins with the electric charge in the three states of motion: at rest, in constant motion and in arbitrary time variation to treat electrostatics, magnetostatics and electrodynamics on the same footing. Special effort is focused on the following aspects: (1) Physical transparency, (2) Mathematical simplicity, and (3) Relevancy with other courses of electrical engineering. For research, various aspects of practical interest will be discussed, including the phenomena of scattering, guiding and radiation of electromagnetic waves. Those historical events will be discussed with regard to their long term effects on the technological development, such as the invention of Goubau line, the discovery of Wood’s anomaly, and the development of metamaterials, etc. It is hoped that the cited examples will indicate a trend for the potential development in the next decade.


Professor S. T. Peng received the B.S. degree in electrical engineering from National Cheng Kung University, in 1959, M.S. degree in electronics from National Chiao-Tung University, in 1961, and Ph.D. degree in Electro-physics from Polytechnic Institute of Brooklyn, Brooklyn, NY, in 1968. After the completion of education, he held various teaching and research positions with the Polytechnic Institute of Brooklyn and New York Institute of Technology, Old Westbury, NY. Since 1990, he joined National Chiao-Tung University (NCTU), Taiwan, as a Professor of Communication Engineering and served concurrently various administrative positions, such as department head and director of research center. After retirement from NCTU in 2004, Dr. Peng joined Yuan Ze University, Taiwan, as a Chair Professor and is now a Professor Emeritus. Professionally, Dr. Peng has been active in the field of general waveguiding structures, with particular interests in the propagation characteristics of periodic structures. Dr. Peng is the Life Fellow of IEEE and a member of Sigma Xi.

演 講 者:唐震寰教授



毫米波頻段已被納入第五代行動通訊的標準及應用於行車雷達中,美國、日本、南韓等國家已大規模研究並開發相關技術,然而毫米波頻段傳輸損耗與阻擋損耗,均較微波頻段高,需使用陣列天線或多天線(MIMO)架構,實現空間分集(Spatial Diversity)、波束成型(Beamforming)或空間多工(Spatial Multiplexing)等技術,以分別大幅提升毫米波通訊系統品質、距離或通道容量或雷達偵測距離或角度之解析度。本演講將介紹毫米波天線陣列、饋入網路、相移元件、PA/SoC,及整合於低損耗之印刷電路板之相關技術。其中對天線陣列技術之發展作更進一步說明與分析。最後並介紹交通大學Smart Campus大產學計畫及毫米波智慧雷達研究中心近期之相關研究成果。


唐教授於民國1989年取得美國賓州州立大學電機工程博士學位。目前擔任國立交通大學電機系教授兼電機學院院長,主要研究領域為天線設計、無線電通道量測與模型建構、電磁干擾與共容、RFID/IoT技術,並於相關研究領域發表國際學術期刊、會議論文及國際專書論文共100多篇。 於借調工研院期間,分別擔任辨識與安全科技中心主任與服務系統科技中心主任,任期內積極推動發展相關創新技術,如多項Wearable Sensor技術,其中一項已獲得「2017 R&D 100 Awards」,及服務系統平台技術及視訊Embedded Intelligence技術,以上技術均已分別成立新創公司,為國內新興產業注入活水。

演 講 者:鄭士康教授



近年人工智慧,尤其是機器學習,突飛猛進,已經在許多領域產生許多創新的改變。我們將在演講中說明:機器學習的基礎理論及各種技術,例如深層類神經網路(Deep Neural Network,DNN)及 Bayesian Optimization 等,數學上通常可以對應到泛函 (functional,例如線性迴歸的誤差平方和)最佳化,因此可以應用到許多能以最佳化技術處理的問題。演講會提到:最佳化問題由來已久,何以現今的機器學習能有如此優異的成效;以及為什麼這些理論與技術的應用,會被認為是「智慧」的表現。 電磁領域中的逆問題(inverse problem,例如電磁逆散射問題),也常看到使用最佳化技術,所以我們將會參考文獻,敘述如何使用電腦視覺的DNN架構,辨識透地雷達影像。 此外,一般所說的電腦輔助設計(Computer-Aided Design,CAD),例如電子電路 與微波電路的設計,需要隨模擬軟體的數值實驗結果,調整問題參數,將設計產 生的效能與規格差異極小化。因此我們也將藉由一兩年來的三維積體電路熱電整 合設計論文,介紹使用 Bayesian Optimization 的設計方法。這種設計方式,可 以將設計人員介入調整參數的程度降到最低,也可能將資深設計工程師的經驗知 識放入其中,個人稱之為「人工智慧輔助設計」(AI-Aided Design,AAD),預期 將成為未來的主要趨勢之一。


鄭士康教授於民國 68 年及 72 年分別獲得國立台灣大學電機工程學系學士與博士學位;並於民國 70 年起,在台大電機系任教,歷經助教、講師、副教授,並擔任教授迄今。民國 86 年台大電信所成立,鄭教授同時獲聘為該所教授至今。 鄭教授於民國 73 至 74 年服役期間,亦在國防管理學院擔任電子資料處理官及資訊管理系教官。 鄭教授於民國 74 年至 82 年,多次長短期到美國伊利諾大學香檳分校擔任訪問學者。民國 88 年至美國史丹佛大學電腦音樂與聲學研究中心訪問研究半年。 鄭教授曾獲民國 87 年國科會傑出研究獎、民國 93 年台大教學傑出獎。他的教學研究興趣包括電磁理論與數值計算應用、聲波傳播、人類認知系統模擬、計算認知神經科學、機器學習、(失智)老人陪伴機器人等。

演 講 者:張嘉展教授

演講主題:CMOS-MEMS 毫米波智慧型前端電路之前瞻設計


本計劃以TSMC 0.35-um及TSMC 0.18-um CMOS-MEMS製程,設計並製作多種毫米波前端電路,包含帶拒濾波器、濾波整合開關、可調頻帶槽孔天線和反射式相移器。為達可重置之目的,我們提出一新型靜電驅動式致動器,可生成多種狀態,因採用魚骨架構增加靜電吸附力,故能在合理的驅動電壓下提供更大的位移量。與傳統MEMS製程相較,使用CMOS-MEMS製程製作電路更易於與現有CMOS晶片電路進行整合。由於兼具了MEMS元件之優勢,使得電路特性與傳統CMOS電路相比更具競爭力,可重置性也更高,提供未來在毫米波前端電路設計的另一項選擇。


張嘉展教授於國立交通大學電信工程系取得學士學位,在交大電子工程系擔任兩年全職助教後赴美,並於2003年取得加州大學戴維斯分校(University of California at Davis)電機與電腦工程學系博士學位。張教授現為國立中正大學電機工程系教授, 她亦為通訊工程學系之合聘教授。2017年獲科技部補助至佛羅里達大學電機工程系擔任訪問學者。張教授指導學生多次獲得CIC 年度優良晶片, 旺宏金矽獎, IMS學生設計競賽獎等肯定, 主要研究領域包含微波與毫米波元件與電路設計、相位天線系統與波束合成技術、生醫與定位雷達之開發與應用。

演 講 者:楊慶隆教授





Chin-Lung Yang (S’02–M’07) received B.S. and M.S. degrees in Electrical Engineering from National Tsing-Hua University, Hsinchu, Taiwan, in 1997 and from the Communication Institute at National Taiwan University, Taipei, Taiwan, in 1999, respectively. He received a Ph.D. degree in Electrical and Computer Engineering from Purdue University, W. Lafayette, IN, USA, in 2007. After one year of postdoctoral work in the IDEAS Laboratory at Purdue University, he joined the faculty of Electrical Engineering at National Cheng Kung University, Tainan, Taiwan, where he is currently a full professor. He established the Wireless Innovative System EM-applied (WISE) Laboratory in 2008. His research focuses on RF biomedical applications, energy harvesting, integrated RF front-ends, diversity design, RF powering techniques, wireless sensor networks (WSN), implantable antennas, and flexible electronics. He has published more than 100 articles in technical journals, conference proceedings, technical reports, and book chapters in these related areas. Dr. Yang was sponsored by the National Science Foundation (NSF) during his PhD research from 2003 to 2006. Ministry of Science and Technology (MOST), Taiwan has sponsored his advanced research on Microwave and biomedically applied topics from 2008 to 2018. From 2010 to 2012, he was the recipient of Pilot Overseas Internship Grants from the Taiwanese Government. He won the Future Star Project Award, from EECS in National Cheng Kung University, 2013 and won Best GOLD Member Award, IEEE Tainan Section, 2012. He won the Teaching Excellence Award from National Cheng Kung University in 2014. He won the Future Star Project Award, in National Cheng Kung University, 2013 and won Best GOLD Member Award, IEEE Tainan Section, 2012. He has advised several graduate students who won Thesis Awards from 2012 to 2016. He led a team to win the Outstanding Prize (first prize) of three-year National Project of Intelligent Electronics (NPIE) in 2016. He is currently a Technical Committee member of IEEE MTT-S (MTT-26), IEEE Taiwan Tainan Section Secretary, Chairman of IEEE MTT-S Tainan Chapter, a distinguished lecturer of Taiwan Electromagnetic Industry-Academia Consortium (TEMIAC), and a director of Tainan Bilingual International Education Association. He actively serves as a TPC member, a reviewing committee member, a session convener, a session chair in several major international conferences.

演 講 者:馬自莊教授



The synthesized (or artificial) transmission lines (STLs) in right-handed and/or left-handed topology have been well known as a promising candidate for circuit size miniaturization as well as multiband operations with non-integer frequency ratio between bands. Over the past decade, the application scopes of STLs have been dramatically widened due to the tremendous efforts by the presenter’s research group. Disclosed in his Wiley-IEEE press book, if the phase response of an STL can be well controlled, unusual functionalities other than those commonly anticipated can be fulfilled. In early works, a series of heterogeneously integrated phased arrays with dramatically different electrical properties in separate frequency bands has been demonstrated. Recently, by introducing varactor diodes, the reconfigurability of STLs was further explored as the control unit to fully exploit its phase tunability. The outcome turns out to be a breakthrough in developing low-cost phase control unit for future phased arrays. The core innovation relies on a precise control of the phase response of the STL while keeping its matching condition unaltered. This unique property makes the unit become reconfigurable in a variety of ways: as on-off switch, as n-bit digital phase shifter, or even as continuous (analog) phase tuning element. More importantly, it can embedded into the antenna feed network without occupying extra area or consuming dc power. In this talk, the recent progress of this phase control unit, namely the phase reconfigurable synthesized transmission line (PRSTL), will be introduced in details, along with practical implementations in multi-beam phased arrays. Its promising potential as a low-cost alternative in place of phase shifters in future 5G beamforming network should definitely be noticed.


Tzyh-Ghuang Ma (S’00–M’06–SM’11) was born in Taipei, Taiwan, in 1973. He received the B.S. and M.S. degrees in electrical engineering and the Ph.D. degree in communication engineering from National Taiwan University, Taipei, in 1995, 1997, and 2005, respectively.
He was with the University of Florida, Gainesville, FL, USA, from 2015 to 2016, as a Visiting Scholar. He is now a Distinguished Professor and the vice chairman of the Department of Electrical Engineering, National Taiwan University of Science and Technology. His current research interests include innovative phased arrays, active antennas, millimeter-wave antenna arrays, and miniaturized microwave circuit designs.
He was a Top 10 reviewer of the IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION in 2009 and 2010. He received the Outstanding Associate Editor Award from IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS in 2017. He is now an Associate Editor of the IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, a Senior Associate Editor of the IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, and an Associate Editor of the IEICE ComEx. He will be the General Chair of International Symposium on Antennas and Propagation, 2021.