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Electronics for communication and sensing

In research and teaching, the LTE deals with the area of electronics engineering which is pivotal for electrical engineering, i.e. with hardware-oriented electronics. The scientific competences include nearly the entire food chain for the realization of circuits and systems, beginning with the modeling and the design of active and passive devices, modules and packages, proceeding to the design of monolithical or hybrid integrated RF/analog/mixed-signal circuits and the realization of complete electronic systems (including algorithms and software), and ranging to their evaluation in the laboratory as well as in the field. LTE has nearly all relevant design tools for the simulation on system, circuit and 3D-field (electromagnetic, mechanical, thermal and multi-physics) level as well as well-equipped laboratories from DC to over 320 GHz. In the field of semiconductor technologies LTE cooperates with internationally leading industrial partners and foundries, allowing it to work with modern More-Moore- and More-than-Moore-technologies. Electronics is ubiquitious and is used in nearly all technical systems, so LTE researches and develops solutions for many applications in information, automotive, medical and industrial technologies, mainly for wireless and wired communication and sensing. Here, LTE’s specific core competence lies in the solid combination of the disciplines communications, microwaves and microelectronics and the design of their proper interfaces. Today, the design of electronic circuits and systems has to include all these disciplines requiring and understandig of their various languages and denotations.

Recent publications:

  • , :
    Validation Data for WinProp and NYUSIM
    ()
    DOI: 10.5281/zenodo.4047979
    BibTeX: Download
  • Samad Ali, University of Oulu, Finland,Walid Saad, Virginia Tech, USA,Nandana Rajatheva, University of Oulu, Finland, Kapseok Chang, ETRI, South Korea, Daniel Steinbach, InterDigital Inc., USA, Benjamin Sliwa, TU Dortmund University, Germany, Christian Wietfeld, TU Dortmund University, Germany, Kai Mei, University of Oulu, Finland, Hamid Shiri, University of Oulu, Finland, Hans-Jürgen Zepernick, Blekinge Institute of Technology, Sweden, Thi My Chinh Chu, Blekinge Institute of Technology, Sweden, Ijaz Ahmad, VTT Technical Research Center of Finland, Finland, Jyrki Huusko, VTT Technical Research Center of Finland, Finland, Jaakko Suutala, University of Oulu, Finland, Shubhangi Bhadauria, Fraunhofer Institute for Integrated Circuits IIS, Germany, Vimal Bhatia, IIT Indore, India
    Rangeet Mitra, University of Quebec, Canada, Saidhiraj Amuru, IIT Hyderabad, India, Robert Abbas, Macquarie University, Australia, Baohua Shao, Warwick Institute for the Science of Cities, UK, Michele Capobianco, Capobianco – Business Innovation Management, Pordenone, Italy, Guanghui Yu, ZTE Corporation, China,, Maelick Claes, University of Oulu, Finland, Teemu Karvonen, University of Oulu, Finland, Mingzhe Chen, Princeton University, USA
    Maksym Girnyk, Ericsson Research, Sweden, Hassan Malik, Prontominds O, Estonia:
    White Paper on Machine Learning in 6G Wireless Communication Networks
    ()
    URL:
    BibTeX: Download
  • , :
    EuroVNA - ein ambitionierter Netzwerkanalysator
    In: CQ DL - Das Amateurfunkmagazin, , p. 30-32
    BibTeX: Download