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Wireless Communications

Bluetooth Frequency Hopping

Short Description

The course on Wireless Communications presents an introduction to the principles and techniques for reliable communication over time and/or frequency selective fading channels. The course starts with a detailed discussion of the physical and statistical modeling of wireless communication channels. Next, the most important transmission and receiver techniques will be described, including

  • Time diversity: maximum ratio combiner, error rate computation for coherent and incoherent detection, interleaving,
  • Antenna diversity: tranmit diversity, receive diversity and MIMO techniques,
  • Frequency diversity: single carrier transmission with sequence detection, direct sequence spread spectrum, multi-carrier techniques.

Emphasis will be given on an intuitive understanding of receiver principles from a linear vector space point of view. Further, an introduction to current cellular systems will be provided: GSM, UMTS and LTE.

Contents

  • Channel models: Large Scale fading, Small Scale fading
  • Detection and diversity: Detection on Rayleigh Fading channels, Time diversity, Space diversity, Frequency diversity
  • Cellulare-based mobile radio systems: Small-band systems (GSM), Wide-band systems: CDMA, (UMTS), Wide-band systems: OFDM (LTE)

Learning Outcomes & Competences

After completion of the course students will be able to

  • develop a discrete-time statistical channel model for a given physical description of a wireless communication channel
  • explain the techniques and algorithms used in the Physical Layer of a wireless communication system
  • understand the fundamental design options an decisions taken to realize reliable communication over time variant and frequency selective or nonselective fading channels
  • appreciate and categorize the techniques used in modern cellular communication systems to realize reliable communication
  • trade off the advantages and disadvantages of different transmission techniques with respect to bandwidth and power efficiency as well as number of users to be served
  • select and design an appropriate transmission technique for a wireless channel
  • simulate and analyze simple communication systems using modern software tools


The students

  • can transfer and apply the concept of linear vector spaces to signal processing tasks other than for wireless communications
  • can apply the skills about the generation of data, simulation of systems and analysis of experimental results using modern software tools, that have been acquired in this course, to other disciplines
  • can work cooperatively in a team and subdivide an overall task into manageable subtasks and work packages

Implementation

  • Lectures predominantly using the blackboard or overhead projector, as well as presentations of (PowerPoint) slides ,
  • Exercise classes with exercise sheets and demonstrations on computer and
  • Implementation of discrete-time channel models and building blocks of a wireless communication system using modern software tools; evaluation and presentation of the simulation results

Proposed literature

  • D. Tse: Fundamentals of Wireless Communication, Cambrige University Press, 2006 : Excellent textbook. Some parts are a basic help for the lecture.
  • K. D. Kammeyer: Nachrichtenübertragung, Teubner, 2004 : Good German textbook.
  • P. Höher: Grundlagen der digitalen Informationsübertragung, Springer, 2013: A more recent textbook, written in German

General Information

  • Course for master students
  • ECTS: 6
  • Language: German or English (depending on preference of students)
  • Semester: Summer semester

The University for the Information Society