Department of Electrical and Computer Engineering

MENUMENU
  • Department
      • Profile
      • Faculty
      • Evaluation
      • Administration
      • Staff
  • Studies
    • Subject Areas
    • Undergraduate Studies
    • Postgraduate Studies
      • MSc Studies in “Science and Technology of ECE”
      • MSc Studies in “Smart Grid Energy Systems”
      • MSc Studies in “Applied Informatics”
    • PhD Studies
    • Course List
      • Undergraduate Courses
      • Postgraduate Courses
        • Science and Technology of ECE
        • Smart Grid Energy Systems
        • Applied Informatics
      • Erasmus
    • ECTS
    • Career Opportunities
    • Practise Training
  • Research
    • Labs
    • Research Projects
    • Postdoc Research
    • Ph.D. Candidates
    • Theses – Technical Reports
    • Active Research Projects

      MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum

      Scientific Responsible

      Spyros LalisSpyros Lalis, Professor
      E-mail: lalis@uth.gr

      TitleMLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum
      Duration2023 – 2025
      Sitehttps://csl.e-ce.uth.gr/projects/mlsysops

      Read More

  • Alumni
    • Ph.D. Graduates
  • Service Offices
    • Secretariat
    • Technical support
  • Announcements
    • General Announcements
    • Academic News
  • Contact
    • Department of Electrical and Computer Engineering
      • Sekeri – Cheiden Str
        Pedion Areos, ECE Building
        383 34 Volos – Greece
      Tel.+30 24210 74967, +30 24210 74934
      e-mailgece ΑΤ uth.gr
      PGS Tel.+30 24210 74933
      PGS e-mailpgsec ΑΤ uth.gr
      URLhttps://www.e-ce.uth.gr/contact-info/?lang=en
  • Login

ECE436 Wireless Communications

Home » Studies » Undergraduate Studies » Undergraduate Courses » ECE436 Wireless Communications
Subject AreaSignals, Communications, and Networking
SemesterSemester 8 – Spring
TypeElective
Teaching Hours4
ECTS6
Prerequisites
  • ECE313 Computer Networks I
Course Sitehttp://eclass.uth.gr/eclass/courses/MHX299/
Course Director

Athanasios KorakisAthanasios Korakis, Professor
E-mail: korakis@uth.gr

Course Instructor
  • Athanasios Korakis, Professor
    E-mail: korakis@uth.gr
  • Description
  • Learning Outcomes
  • Wireless networking architectures
  • Wireless signal propagation models
  • Wireless signal processing
  • Link aware rate adaptation
  • Advanced topics (cooperative communication, dynamic access to the wireless medium)

This class presents topics from the area of wireless communications and networking, their underlying existing technologies and motivates a deep analysis on their principles. It is the main course that goes deeper in the wireless networking concepts. The laboratory of this class helps in better understanding of these concepts, with use of software tools like the OMF framework and the OML measurements library.

After the successful completion of this class, the student will be able to

  • understand the main wireless networking technologies,
  • understand the wireless medium particularities as well as the special challenges that result from the wireless medium comparing to the wired one.
  • understand better special research topics and deal with challenges of various wireless networking architectures (cellular, with infrastructure, ad-hoc), signal propagation models, rate adaptation, adaptive modulation and power control, etc.

e-Yπηρεσίες

Contact Info

  • Sekeri – Cheiden Str, Pedion Areos, Volos
  • +30 24210 74967
  • +30 24210 74934
  • Email: gece@uth.gr

Announcements

  • Academic News

Find us

  • Facebook
  • Twitter
  • Youtube
  • Linkedin
© Copyright 2025 Department of Electrical and Computer Engineering
We use cookies to ensure that we give you the best experience on our website.OKΠληροφορίες