Navigation To modulepage
Display language

Modern Signal Processing for Communications

6 LP

English

#40829 / #2

Seit SS 2018

Fakultät IV

HFT 6

Institut für Telekommunikationssysteme

34331800 FG Netzwerk- Informationstheorie

Stanczak, Slawomir

Stanczak, Slawomir

slawomir.stanczak@tu-berlin.de

POS-Nummer PORD-Nummer Modultitel
2346786 38219 Modern Signal Processing for Communications

Learning Outcomes

After completion of this module, the students have the ability to apply various methods and tools of modern signal processing to solve problems in a broad area of wireless communications. Moreover, they will better understand the fundamental relationships in wireless networks and obtain valuable insights into the design and operation of such networks. Finally the lecture intends to convey a comprehensive understanding of selected theoretical concepts used in wireless network optimization such as random matrix theory and non-linear Perron-Frobenius theory.

Content

The learning content includes: - Modern signal processing methods for interference reduction in spread spectrum and MIMO systems, adaptive beamforming, PAPR reduction in OFDM systems, acoustic source localization with wireless sensor networks, environmental modeling in wireless multi-agent systems - Fundamentals of (convex) optimization theory, projection methods, principles of convex relaxation - Axiomatic framework for interference modeling, existence and uniqueness of fixed points, fixed-point algorithms, applications of standard interference functions - Non-linear Perron-Frobenius theory - (Non-asymptotic) random matrix theory

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Mathematical Introduction to Machine Learning VL WS No information 2
Modern Signal Processing for Communications VL 3433 L 8371 SS No information 2

Workload and Credit Points

Mathematical Introduction to Machine Learning (VL):

Workload description Multiplier Hours Total
Attendance 15.0 2.0h 30.0h
Pre/post processing 15.0 4.0h 60.0h
90.0h (~3 LP)

Modern Signal Processing for Communications (VL):

Workload description Multiplier Hours Total
Präsenzzeit 15.0 2.0h 30.0h
Vor-/Nachbereitung 15.0 4.0h 60.0h
90.0h (~3 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The module consists of conventional frontal teaching in class, developing theoretical and mathematical concepts, and a semester project where students work, possibly in groups, and are assigned a research paper in the area of wireless network optimization to read, understand, and prepare a talk.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Prerequisite for participation to courses are a mathematical background at the level of beginning MS students in Electrical Engineering (signals and systems, linear algebra and notions of matrix theory). The course is open to students enrolled in any MSc in EE CS, Mathematics and Physics.

Mandatory requirements for the module test application:

No information

Module completion

Grading:

graded

Type of exam:

Oral exam

Language:

English

Duration/Extent:

45 Minuten

Duration of the Module

This module can be completed in 2 semesters.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Course teaching and organization (not module examination enrollment at Examination office/Prüfungsamt) is supported by an ISIS course. Registration details are provided at the beginning of the module.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

Electronical lecture notes

Availability:  available
Additional information:
Will be provided at the beginning of the courses

Literature

Recommended literature
David G. Luenberger, Optimization by Vector Space Methods, Wiley, 1998
Roman Vershynin, Introduction to the non-asymptotic analysis of random matrices, arXiv, 2011
Stanczak, Wiczanowski and Boche, Fundamentals of Resource Allocation in Wireless Networks: Theory and Algorithms, Springer 2009

Assigned Degree Programs

Zur Zeit wird die Datenstruktur umgestellt. Aus technischen Gründen wird die Verwendung des Moduls während des Umstellungsprozesses in zwei Listen angezeigt.

This module is used in the following modulelists:

This module is used in the following Degree Programs (new System):

    Miscellaneous

    No information