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Course detail

Modern digital wireless communication

Course unit code: FEKT-DRE2A
Academic year: 2017/2018
Type of course unit: optional specialized
Level of course unit: Doctoral (3rd cycle)
Year of study: 1
Semester: summer
Number of ECTS credits:
Learning outcomes of the course unit:
Deeper knowledges of wirelew-signal theory, spread spectrum systems, mobile systems, satellite systems and free space communications.
Mode of delivery:
90 % face-to-face, 10 % distance learning
Prerequisites:
Signal theory. Wireless communications theory.
Co-requisites:
Not applicable.
Recommended optional programme components:
Not applicable.
Course contents (annotation):
Introduction
Content. Promising methods of wireless communications. MIMO systems.
Communication Signals Theory
Sets of signals, mapping. Signal spaces. Orthonormal systems and their applications. Orthogonal spreading sequences. Orthogonality in UWB systems. Discrete-time random processes, digital simulations, complex random processes. Pseudo-random spreading sequences.
Spread Spectrum Digital Communications
Direct sequence spread spectrum signals. Optimal reception in AWGN channels, robustness, frequency diversity, multipath channel, Rake receiver, acquisition. Frequency hopping (SFH, FFH), time hopping.
Acquisition methods. Orthogonal frequency division multiplexing (OFDM). Code division multiplexing.
Code-division Multiple Access (CDMA), signatures, matched filter, chip matched filter. Multi-user interference (MUI), optimal detector, near-far problem.
Main interference in multi-user environment, asymptotic multi-user efficiency, MMSE detector, adaptive detectors, necessary a prior information and synchronization.
Wireless-Signal Processing
Synchronization, carrier recovery, phase estimation, Phase-locked loop (PLL), clock recovery, maximum likelihood (ML) algorithm, delay-locked loop (DLL).
Equalization, inter-symbol interference (ISI), zero forcing (ZF) equalizers, minimum mean square error (MMSE) equalizers, least squares (LS) equalizers, decision feedback (DF) equalizers, maximum likelihood sequence (MLSE) receivers.
Mobile Communications
Coexistence of mobile systems (Bluetooth, WiFi, UMTS, GSM). System WiMAX (IEEE 802.16), MATLAB modeling, solving the physical layer. Design of the system using signal level and a frequency plan.
Flarion (IEEE 802.20), description. FLASH OFDM, Cell interference averaging. Flexband, description.
Satellite Communications Tools and Methods
Satellite communication characteristics and methods. Noise, distances. Movements of satellites. Satellite systems architectures.
Free-Space Optical Communications.
Elements. Atmosphere. Stationary and statistical models. Reliability and availability. Selected applications.
Recommended or required reading:
J. G. Proakis, Digital communications. 4-th ed. McGraw Hill, New York, 2001. (EN)
B. Vucetic and J. Yuan, Space-Time Coding. John Wiley & Sons, New York, 2003. (EN)
S. G. Glisic, Adaptive WCDMA. Theory and Pracice.John Wiley & Sons, New York, 2002. (EN)
Planned learning activities and teaching methods:
Techning methods include lectures. Students have to write a single project/assignment during the course.
Assesment methods and criteria linked to learning outcomes:
Requirements for completion of a course are specified by a regulation issued by the lecturer responsible for the course and updated for every.
Language of instruction:
English
Work placements:
Not applicable.
Course curriculum:
Introduction
Communication Signals Theory
Spread Spectrum Digital Communications
Wireless-Signal Processing
Mobile Communications
Satellite Communications Tools and Methods
Free-Space Optical Communications.
Aims:
The aim is to inform students about new methods of wireless communications.
Specification of controlled education, way of implementation and compensation for absences:
The education is optional.

Type of course unit:

Seminar: 39 hours, optionally
Teacher / Lecturer: prof. Ing. Milan Sigmund, CSc.

The study programmes with the given course