Simulation of processes in telecommunications channel (ETF TKO SPTK 4780) |
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General information |
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Module title | Simulation of processes in telecommunications channel |
Module code | ETF TKO SPTK 4780 |
Study | ETF-B |
Department | Telecommunications |
Year | 4 |
Semester | 7 |
Module type | Mandatory |
ECTS | 7 |
Hours | 80 |
Lectures | 38 |
Exercises | 28 |
Tutorials | 14 |
Module goal - Knowledge and skill to be achieved by students |
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| Course has a goal to enable students to master the necessary theoretical and practical (laboratory) knowledge on application of simulations in telecommunications' systems design processes. The basis for this is the Monte Carlo simulation method. Aspects of modeling of telecommunications systems, transmitting and receiving system, and telecommunications channel. As a special contribution of simulations to prediction of system performances of telecommunications systems the models for extraction of performances during the simulation are also considered. |
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Syllabus |
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| Simulation modeling: the meaning and the role of simulation, simulation methods. Simulations and modeling methodology. Application of simulations in telecommunications processes design. Representation of signals and systems in simulations. Modeling and simulation of linear time independent systems. Modeling and simulation of linear time dependent systems. Monte Carlo simulation method. Principles of the Monte Carlo simulation. Monte Carlo simulation and generation of random numbers. Generation of uniform random numbers. Generation of Gaussian random numbers. Generation of independent random sequence. Modeling of telecommunications systems: transmitting and receiving system. Types and models of telecommunication channels. Monte Carlo method and extraction of performance during the simulation. Interval of trust and binomial distribution. Poisson’s approximation. Normal approximation. Mean value and variance of the MK estimators. Effect of dependent errors. Sequential estimation. Estimation of the interval measure. Monte Carlo method and calculation of parameters for the deterministic process. Jake's spectral density of power, Gaussian spectral density of power. | |
Literature |
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| Recommended | 1. Lecture notes and slides (will be available at the Faculty Web site) 2. M.C. Jurchim, P. Balaban, K. S. Shanmugan: Simulation of Communication Systems, second edition; Kluwer Academic Publishers, New York 2002 |
| Additional | 1. H. Harada, R. Prasad: Simulation and Software Radio, Universal Personal Communications, 1997 |
Didactic methods |
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| Course is performed through direct lectures in an aula. Lectures are followed by the solving of problems by the lecturer with goal of enabling students to master mathematical tools and methods introduced through lectures, and on which the analyzed simulation models of telecommunication systems and channels are based. Through the tutorial students are followed and guided by tutors, while other examples and exam problems are solved. Through this students are provided with guidelines for solving of problems set during the exercises. Thus, even during the performance of the curriculum it is possible to continually test the achieved level of preparedness of students for their final exams. As part of the laboratory exercise the MATLAB simulator is used to introduce students with basic models and characteristics of the transmitting and receiving system of the telecommunications system, and processes in the basic models of the radio channel and channels in the physical medium. During the performance of the curriculum the students will also have independent development of simple applications in related field. | |
Exams |
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| During the course students earn points according to the following system: - Attending classes and tutorials: 10 points, student with more than three absences from lectures and/or tutorials cannot get these points. - Home assignments and laboratory exercises bring maximum of 10 points, assuming solving 5 to 10 assignments equally distributed throughout the semester. - Partial exams: two partial exams; each positively evaluated partial exam 20 points. Each partial exam lasts 90 minutes and it is structured as follows: - Answering to simple questions with goal of testing whether student has basic theoretical knowledge; students with correct answers to all such questions earn 5 points; - Solving an open answer problem, with correct answer bringing 10 points; -Solving problems with multiple answers offered, one of answers being the correct one; students with correct answers to all such questions earn 5 points; Students who earned less than 20 points during the semester must retake the course. Students who earned 40 or more points during the semester will take a final exam; This exam consists of discussion of problems from partial exams, home assignments and answers to simple questions related to course topics. Final oral exam provides maximum of 40 points. In order to get positive final grade, students must earn minimum of 20 points in this exam. Student failing to earn the minimum must take the makeup oral exam. Student who earned 20 or more, and less than 40 points during the semester, will have to take the makeup exam. The makeup exam is organized in the following manner: - Written part structured similarly to partial written exam, during which students solve problems in topics they failed on partial exams (less than 10 points); - Oral part structured the same as the oral part of the final exam. Only students who managed to earn total score of 40 or more points in written part of the makeup exam will be allowed to take the oral part of the makeup exam, where the mentioned score consists of points earned through attending lectures, solving home assignments, passing partial exams and passing the written part of makeup exam. Oral makeup exam provides maximum of 40 points. In order to achieve positive final grade students must earn minimum of 20 points in this exam. Student failing to earn the minimum will have to retake the course. Oral makeup exam gives maximum of 40 points. In order to achieve positive final grade students must achieve minimum of 20 points in this exam. Student failing to achieve the minimum will have to re-enroll for this course. |
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Aditional notes |
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| 1. During the written part of the exam students are allowed to use a list of formulas prepared by lecturers, which may be of use in solving problems. It is not allowed to use other notes, books, cell phones or other electronic devices. 2. Problems, which students must solve during the exam, are of the same type solved during the lectures and tutorials. |
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