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Digital Communication Systems
Description
This course aims to extend the basic concepts of digital communications and digital signal processing in communications that students might have acquired in their undergraduate courses. Current communication systems use in the physical layer (Physical Layer, PHY) increasingly sophisticated signal processing techniques to obtain the maximum capacity of channel as possible in very adverse situations. This has also been possible thanks to the increase of the system computing capacity and increased battery life in mobile devices. In this sense Digital Communication Systems gives an applied insight of advanced and basic techniques of signal processing in present communication systems (3G, 4G, IEEE 802.11, 802.16, DVB) and future (5G).
Recommended knowledge
- Basic concepts of filters, linear systems and discrete Fourier Transform (DFT).
- Basic concepts of probability and stochastic processes.
- Basics concepts of digital modulations and transmission channels.
- Basic knowledge of Matlab
Evaluation
- 80% of the mark is the result of two exams consisting on several theoretical and practical questions.
- 5% of the mark is obtained from the oral presentation of a scientific paper in class. The presentation can be done in groups of 2 students.
- 15% of the mark is obtained from a simulation work about Matlab . The topic will be chosen by the student from a list of works where basic communication systems based on the physical layer of some standard are proposed.
Learning Units
- 1. Digital Modulations and Equating
- 1.1. Basic concepts of digital communications
- 1.2. Advanced digital modulations
- 1.3. Linear equalizers. Decision Feedback Equalizers (DFE). Adaptive equalizers
- 1.4. Channel estimation. OFDM channel estimation and equalization
- 2. Coordinated Transmission in communication systems
- 2.1. SISO/MIMO systems. Multiuser communication systems
- 2.2. Coordinated Transmission in LTE-Advanced. Basis and future systems
Professor
