ELE630 - DIGITAL COMMUNICATIONS I
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| DIGITAL COMMUNICATIONS I | ELE630 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Problem Solving | |||||
| Instructor (s) | Department Faculty | |||||
| Course objective | The aim is to give an in-depth understanding of the topics below to the students; - Receiver design in AWGN, - Digital modulation techniques with coherent and noncoherent detection, - Channel coding; block and convolutional coding , - Spread spectrum transmission; frequency hopping and direct-sequence SS systems and applications. | |||||
| Learning outcomes |
| |||||
| Course Content | Coherent and noncoherent demodulation; Maximum likelihood vs MAP decoding. Synchronization (frequency, phase and time) Matched filter and correlation receiver, Digital modulation techniques; M-ASK, M-PSK, M-FSK. Comparison of modulation techniques; Shannon?s capacity theorem Channel coding; error detection vs. error correction coding; ARQ systems; block and convolutional coding. Examples: turbo coding and LDPC Spread spectrum transmission; frequency hopping and direct-sequence SS systems and applications. CDMA, ranging, AJ and LPI. | |||||
| References | Åžafak, M., Digital Communications, Lecture notes, 2012 Proakis, J., Digital Communications (4th ed.), McGraw Hill, 2000 Haykin, S., Communication Systems (4th ed.), Wiley, 2001 Sklar, B., Digital Communications (2nd ed.), Prentice Hall, 2001 | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Optimum receiver in AWGN channel; matched-filter and correlation receivers. Optimum detector. Maximum likelihood and MAP detection. |
| Week 2 | Antipodal and orthogonal signaling. Symbol error probability of M-ary orthogonal and biorthogonal signaling, simplex and binary-coded signaling |
| Week 3 | M-ary PSK, differentially-encoded PSK (DEPSK), Differential PSK (DPSK) |
| Week 4 | M-ary PAM, M-ary QAM, Noncoherent M-ary FSK. Comparison of modulation techniques, Shannon?s capacity theorem |
| Week 5 | Fundamentals of error control coding. Error detecting vs. correcting codes; random error vs. burst error correcting codes. Hard-decision vs. soft-decision decoding. Hamming vs. Euclidean distance |
| Week 6 | Linear block codes. Generator and parity check matrices, syndrome decoding. Examples of commonly used block codes. Cyclic codes; generator and parity polynomials; encoder and syndrome calculator. |
| Week 7 | Midterm Exam I |
| Week 8 | Examples of cyclic codes: Hamming, BCH, RS, CRC and LDPC codes. ARQ and hybrid ARQ techniques; throughput, delay and packet error probabilities |
| Week 9 | Convolutional codes; code tree, state and trellis diagrams. Hard-decision vs. soft-decision decoding. Viterbi algorithm. Interleaving. Turbo codes |
| Week 10 | Fundamentals of spread spectrum. Concept of spreading. Pseudo random (PN) codes. Kasami and Gold sequences. |
| Week 11 | Direct-sequence spread spectrum, processing gain, AJ, LPI, multipath rejection, ranging. Example: GPS system |
| Week 12 | Midterm Exam II |
| Week 13 | CDMA. Spreading and multiple-access capabilities of 2G and 3G systems |
| Week 14 | Frequency-hopping spread spectrum. Fast vs. slow hopping. Performance evaluation in AWGN channel. AJ performance. Multi-user FH systems. |
| Week 15 | Preparation to Final exam |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 6 | 5 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 1 | 5 |
| Midterms | 2 | 40 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 9 | 5 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 55 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 5 | 70 |
| Presentation / Seminar Preparation | 1 | 12 | 12 |
| Project | 0 | 0 | 0 |
| Homework assignment | 6 | 4 | 24 |
| Midterms (Study duration) | 2 | 30 | 60 |
| Final Exam (Study duration) | 1 | 30 | 30 |
| Total Workload | 38 | 84 | 238 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge. | X | ||||
| 2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering. | X | ||||
| 3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems. | X | ||||
| 4. Designs and runs research projects, analyzes and interprets the results. | X | ||||
| 5. Designs, plans, and manages high level research projects; leads multidiciplinary projects. | X | ||||
| 6. Produces novel solutions for problems. | X | ||||
| 7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects. | X | ||||
| 8. Follows technological developments, improves him/herself , easily adapts to new conditions. | X | ||||
| 9. Is aware of ethical, social and environmental impacts of his/her work. | X | ||||
| 10. Can present his/her ideas and works in written and oral form effectively; uses English effectively | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest