ELE634 - DIGITAL COMMUNICATIONS II
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| DIGITAL COMMUNICATIONS II | ELE634 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | ||||||
| Instructor (s) | Department Faculty | |||||
| Course objective | ||||||
| Learning outcomes |
| |||||
| Course Content | ||||||
| References | ||||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Fading multipath channels. Time-variant multipath channels, statistical characterisation of multipath channels. |
| Week 2 | Multipath intensity profile, frequency and time selectivity, coherence time, coherence bandwidth. |
| Week 3 | Channel impulse response, channel model, slow fading, fast fading, |
| Week 4 | Mobile radio channel, digital signaling over flat and frequency selective slowly fading channels. Rake demodulator. |
| Week 5 | Diversity and combining techniques. Transmit vs receive diversity. Macroscopic and microscopic diversity. Time, frequency, space, angle and polarisation diversity. |
| Week 6 | SIMO systems. Diversity combining techniques. Pre-detection and post-detection combining. Selective and switched combining. Equal-gain combining and maximal ratio combining. |
| Week 7 | Midterm Exam I |
| Week 8 | The performance of diversity systems in fading. MISO systems with channel state information (CSI) (un)available at the transmitter. Alamouti technique. |
| Week 9 | MIMO systems. Diversity gain, multiplexing gain and array gain. MIMO channel capacity. |
| Week 10 | Multiple access communications. TDD and FDD. Fixed-assignment, demand-assignment and random access. Frequency division multiple access (FDMA), time division multiple access (TDMA) and code division multiple access (CDMA). Capacity of FDMA, TDMA and C |
| Week 11 | Random access methods; ALOHA, slotted ALOHA, reservation ALOHA, carrier sense multiple access (CSMA), token-ring. Polling techniques. |
| Week 12 | Midterm Exam II |
| Week 13 | Wireless access protocols and systems. WiMax, Wi-Fi, Bluetooth and Zigbee. |
| Week 14 | Queueing theory; Erlang-B and C formulas. |
| 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 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
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