Self-organized Networks (SS 2023)


Veranstaltungsart Vorlesung + Übung(2 SWS)
ECTS Credits 2,5
Sprache Englisch
Lecture Thursday, 14:15 – 15:45, Room 00.151-113 Übungsraumcampo
Exercise Monday, 10:15 – 11:45, Room 02.134-113 Übungsraumcampo

Content of the lecture

Self-organization refers to processes in physical and biological systems which form patterns by interactions of internal parts of the system and/or their interactions with the environment without any form of external interventions. The resulting organization of systems in this case is fully decentralized and distributed over their parts. There are numerous examples of self-organizing systems e.g. flock of birds, neural learning, evolutionary computation, swarm of robots, and self-organizing networks. The principles of self-organization are applied in different communication technologies such as wired and wireless networks. Transport Control Protocol (TCP), Carrier Sense Multiple Access (CSMA), Adaptive Modulation and Coding (AMC) are some examples of self-organized protocols. Besides, Self-Organizing Network (SON) has been defined by 3GPP as the standardization organization of cellular networks. SON refers to the functionality of cellular systems (e.g. 4G and 5G) which enables the system to perform self-configuration, self-optimization and self-healing. Artificial intelligence and mostly machine learning algorithms play an important role in the implementation of SON. This course aims to give you an insight to the self-organization systems and specially self-organizing networks and illustrate the importance of AI and ML in their implementation. The content of this course includes:

Introduction to self-organization

  • Main principles
  • Self-organizing systems and features

Self-organizing features and protocols in communication networks

  • In wired networks
  • In wireless networks
  • – IEEE 802.11
    – Ad hoc and sensor networks
    – UAV networks

  • Self-Organizing Networks (SON) in 4G and 5G
  • – Self-configuration
    – Self-optimization
    – Self-healing

Methods for implementation of self-organizing systems

  • Bio-inspired methods
  • Artificial intelligence

The final exam is in a written form where students should answer to questions based on the lectures, slides and their understating and analysis from the content of the course.


The exercise of this course includes a literature review research project where students work individually on a relevant topic. The steps to accomplish the research project are as follows:
  • A. Select a topic relevant to self-organizing networks and register it by email
  • B. Search for the relevant papers and make a list of papers
  • C. Study the papers and prepare a summary
  • D. Present the outcomes

Recommended literature

Literature review on self-organizing networks (2,5 ECTS)