• Groene Loper 5, FLux, floor 9

    5612 AE Eindhoven


  • P.O. Box 513, Department of Electrical Engineering

    5600 MB Eindhoven


Organization profile

Highlighted phrase

Create the control intelligence which autonomously manages the network’s physical layer.

Organisational profile

This gives the user access to services at the appropriate quali¬ty-of-experience level and improves the network’s dependability. We study the impact of emerging ap¬plications on the network and the effects that net¬work impairments have on services. Our main focus is on cognitive Internet of Things communications.

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    Calabretta, N., Prifti, K. & Exarchakos, G.


    Project: Research direct

    Interoperability of Heterogeneous IoT Platforms

    Exarchakos, G., Mocanu, D. C., van der Lee, T. & Exarchakos, G.


    Project: Research direct

    Research Output

    Enhanced C-V2X mode-4 subchannel selection

    Abanto Leon, L. F., Koppelaar, A. G. C. & Heemstra, S. M., 12 Apr 2019, IEEE 88th Vehicular Technology Conference: VTC 2018-Fall. Piscataway: Institute of Electrical and Electronics Engineers, 5 p. 8690754

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
  • 5 Citations (Scopus)
    511 Downloads (Pure)

    Evaluating and improving indoor positioning methods

    Kanaris, L., 10 Dec 2019, Eindhoven: Technische Universiteit Eindhoven. 109 p.

    Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

    Open Access

    Improving indoor localization accuracy through information fusion

    Kokkinis, A., 10 Dec 2019, Eindhoven: Technische Universiteit Eindhoven. 103 p.

    Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

    Open Access

    Student theses

    Design and realization of indoor airships with two actuation units and energy performance analysis

    Author: Xia, Y., 26 Nov 2018

    Supervisor: Exarchakos, G. (Supervisor 1) & Bembnowicz, P. (External person) (External coach)

    Student thesis: Master


    Unsupervised feature learning in a federated setting for human activity detection

    Author: van Berlo, B., 30 Sep 2019

    Supervisor: Ozcelebi, T. (Supervisor 1), Exarchakos, G. (Supervisor 2), Menkovski, V. (Supervisor 2), Saeed, A. (Supervisor 2) & Brandsma, E. (External person) (External coach)

    Student thesis: Master