Bachelor in Engineering in Technology Management

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Digital Telecommunications

Description
The subject describes the transmission tecniques in which modern digital communications systems are based; QAM modulation and transmission, Spread Spectrum with application to GPS, multicarrier with application to mobile communications, Wi-Fi and Bluetooth, error detection and correction with application to QR codes and satellite communications, and convolutional coding.
Type Subject
Optativa
Semester
Second
Credits
4.00
Previous Knowledge

Required knowledge is Signals and Systems, Linear Algebra and Calculus;

- Modulation, analogue modulation in particular
- Transmission impairments
- Superheteordyne receiver
- Vector spaces
- Derivatives and integrals
- Random variables

Objectives

The Learning Outcomes of this subject are:

LO.01 Knowledge of the most common types of digital modulations (narrowband and broadband).
LO.02 Knowledge of source coding techniques, which allow the transmitted data to be compressed.
LO.03 Knowledge of the types of channel codes to compensate for errors in demodulation.
LO.04 Knowledge of synchronization techniques.
LO.05 Simulation of transmission systems (in Matlab) that incorporate some of the techniques studied.

Contents

Chapter 1. QAM modulation
Chapter 2. Spread Spectrum modulation
Chapter 3. Multiple Access
Chapter 4. Multicarrier modulation
Chapter 5. Source coding
Chapter 6. Channel coding: linear block codes
Chapter 7. Channel coding: convolutional codes
Chapter 8. Channel coding: Interleaving and concatenated codes
Chapter 9. MC-CDMA modulation

Methodology

The subject has a weekly operation with 2 teaching sessions:

- In the first session (2h) the contents of the main topics are developed through master classes and problems.
- In the second session (2h) classes of doubts and problems are combined with practical classes where students work in groups to solve small exercises where they put into practice the concepts studied.

PRACTICAL SESSIONS

The practical sessions are teaching sessions that are part of the subject and that have a weekly frequency throughout the development of the subject. The goal is to support and encourage progressive, necessary and essential learning in order to successfully overcome the practical application of the contents of the subject as well as the practice to be designed and implemented.

Students work with their own PCs in the classroom, using the Matlab simulation environment. During these sessions students must solve short practical exercises that must be delivered in the same session or for the next week of practical class. On the other hand, some long practical exercises are also proposed, which will have to be worked on over several sessions until the final delivery date.
The practical exercises proposed throughout the course deal with the topics studied throughout the course, and allow students to experience the complexity of a real and applied problem.

Evaluation

The course duration is one semester and consists of two different parts: the knowledge part and the practical part of the subject. The assessment of knowledge and practice will be independent. In order to pass the subject, it will be necessary to pass the knowledge and practice independently.

The final grade of the subject is represented in the following formula:

Final Grade = 70% · Knowledge + 30% · Practice (if both parts are >=5)
Final grade = min (Knowledge, Practice) (if any part is <5)
Final grade = NP (if any part is NP)

The knowledge part is composed of two different parts. Part 1 covers lessons 1 to 5; part 2 covers lessons 6, 7, 8 and 9. In order to pass the knowledge part both parts are to be passed independently, under the following rules;

- Each part will be passed if the mark is >=5
- When both parts are passed (mark >=5) the final mark of the knowledge part will be the mean of both marks
- If any part is not passed the final mark of the knowledge part will be the lowest of the two marks
- Students who do not take a given part of the Knowledge will be given NP
- If any part is passed the mark will be kept until the Retake exam

The Practice note will be calculated with the following formula:

Practice = 30% · Nac1 + 30% Nac2 + 40% · Nac3

The grades Nac1, Nac2 and Nac3 depend on report delivered and an oral interview once the report has been delivered. In order to release the Practical part, the mark must be greater than or equal to 5. In the event that a practical exercise is not delivered, the corresponding mark will be a NP. If a practical exercise is delivered out of date the maximum grade will be 7.

As for copy regulations, all assessment activities are considered highly significant, including practical exercises AC1, AC2 and AC3.

Evaluation Criteria

Objective 1: Basic knowledge of the subject: it is evaluated through the class examens and the semester exam.
Objective 2: Abilities to put knowledge in the practice: it is evaluated using the team work tasks.
Objective 3: Writing abilities in the own language: it is evaluated using the team work tasks.
Objective 4: Team work abilitites: it is evaluated using the group work tasks.

Basic Bibliography

J. G. Proakis, Digital Communications. Mcgraw-Hill, 1989. ISBN 0-07-100269-3.
B. Sklar, Digital Communications: Fundamentals And Applications. Prentice-Hall, 2000. ISBN 0-13-084788-7.

Additional Material

Socoró, J.C., Morán, J.A., Alsina, R., Sistemes de Transmissió, La Salle Online, 2008.
L. Hanzo et al., Quadrature Amplitude Modulation, John Wiley & Sons, 2004
S.Kaiser et al., Multi-Carrier and Spread Spectrum Systems, Wiley, 2003