Lin Xiang (向林)

Department of Electrical Engineering and Information Technology

Technical University of Darmstadt, Germany

Email: l(dot)xiang(at)nt(dot)tu-darmstadt(dot)de

[Curriculum Vitae]

[Google Scholar][Researchgate]

I am currently a research group leader at the Communications Engineering Lab headed by Prof. Anja Klein, and an Atheme Young Investigator of TU Darmstadt. I obtained my Ph.D. in Electrical, Electronic, and Information Engineering from the Friedrich-Alexander-University of Erlangen-Nuremberg in Germany, advised by Prof. Robert Schober. Prior to that, I received my M.Eng in Communications and Information System and B.Eng in Electronics and Information Engineering, both from the Huazhong University of Science and Technology in China. I was a postdoctoral researcher at the University of Luxembourg, advised by Prof. Björn Ottersten, and a visiting researcher at the University of Bologna, advised by Prof. Roberto Verdone (and supported by the Erasmus-Mundus program of the European Commission). 

I am also the program area coordinator within the area of communication (KOM) in  the LOEWE center emergenCITY.


News


Research Interest

My research interests lie in communication theory / wireless communications, including 

optimization / learning theory, including 

as well as their applications in emerging technologies, including 


Research Theme 1: Motion and Sensing/Localization/Communication in 6G

Cyber-physical systems (CPSs) such as robots, UAVs, and ground vehicles are usually capable of controllable/programmable motion in space and over time. This differs significantly from conventional wireless information systems, where relative movements between transmitters and receivers are unpredictable, rarely exploitable, and even detrimental to information sensing/localization/communication/processing (SLCP). This topic aims to bridge the two worlds of CPSs and SLCP. In particular, we consider how to exploit motion (including translation, rotation, transformation, swarming etc.) in space and over time to facilitate tailored design and optimization of information SLCP for and by movable CPSs.  We also consider how to best tradeoff between the complexity and overhead incurred in motion control and the achieved SLCP performances, particularly in complex environments. 


Selected Papers

UAV-Aided Sensing / Localization / ISAC


Nonterresterial Wirelss Communication Networks


Large-Scale V2X Networks


Research Theme 2: Computing / Caching and Communication

Modern wireless networks have witnessed an irreversible convergence of communication and computing/caching technologies, where a continuum of caching and computing resources are distributed between the mobile edge and cloud. Such converged wireless networks were one of the key factor for successful mobile video streaming in 4/5G wireless networks. They also provide the new information highway for enpowering artificial intelligence-enabled wireless networks in 6G. The overaching aim of this research theme is to enable advanced converged wireless networks through co-design of caching, computing, and (physical layer) communication schemes and co-optimization of their resources.  


Selected Papers

Optimization and Learning for Digital Twin


Cache-Aided Wireless (MIMO / NOMA / Relaying / PLS)


Research Theme 3: Energy and Communication

Both communication and energy technologies are indispensible towarding building a sustainable and resilient world. The two fields are also interacting with each other: Communication technologies can enable mordernization of energy generation, transportation, distribution, and consumption to legacy power systems. Meanwhile, communication engineers are also looking for energy solutions that will be highly energy-efficient or battery-free.  This research theme explores these interacting topics, aiming to highlight the synergy in energy and communication researches. 


Selected Papers

Smart Grid (Renewable Energy Integration / Pricing)


Green Communications (Energy Efficiency Metric, Modeling, and Maximization / Large-Scale Wireless Networks)


Lectures (Lehraufträge)


PhD Students


Former PhD Students


Bachelor and Master Students