ACADEMICS
Course Details

ELE634 - Digital Communications II

2022-2023 Fall term information
The course is not open this term
ELE634 - Digital Communications II
Program Theoretýcal hours Practical hours Local credit ECTS credit
MS 3 0 3 8
Obligation : Elective
Prerequisite courses : -
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies :
Course objective :
Learning outcomes :
Course content :
References :
Course Outline Weekly
Weeks Topics
1 Fading multipath channels. Time-variant multipath channels, statistical characterisation of multipath channels.
2 Multipath intensity profile, frequency and time selectivity, coherence time, coherence bandwidth.
3 Channel impulse response, channel model, slow fading, fast fading,
4 Mobile radio channel, digital signaling over flat and frequency selective slowly fading channels. Rake demodulator.
5 Diversity and combining techniques. Transmit vs receive diversity. Macroscopic and microscopic diversity. Time, frequency, space, angle and polarisation diversity.
6 SIMO systems. Diversity combining techniques. Pre-detection and post-detection combining. Selective and switched combining. Equal-gain combining and maximal ratio combining.
7 Midterm Exam I
8 The performance of diversity systems in fading. MISO systems with channel state information (CSI) (un)available at the transmitter. Alamouti technique.
9 MIMO systems. Diversity gain, multiplexing gain and array gain. MIMO channel capacity.
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
11 Random access methods, ALOHA, slotted ALOHA, reservation ALOHA, carrier sense multiple access (CSMA), token-ring. Polling techniques.
12 Midterm Exam II
13 Wireless access protocols and systems. WiMax, Wi-Fi, Bluetooth and Zigbee.
14 Queueing theory, Erlang-B and C formulas.
15 Preparation to Final exam
16 Final exam
Assessment 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
Quiz 0 0
Midterms 2 40
Final exam 1 50
Total 100
Percentage of semester activities contributing grade success 50
Percentage of final exam contributing grade success 50
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 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, etc.) 14 5 70
Presentation / Seminar Preparation 1 12 12
Project 0 0 0
Homework assignment 6 4 24
Quiz 0 0 0
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
Key learning outcomes Contribution 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.
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.
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems.
4. Designs and runs research projects, analyzes and interprets the results.
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects.
6. Produces novel solutions for problems.
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects.
8. Follows technological developments, improves him/herself , easily adapts to new conditions.
9. Is aware of ethical, social and environmental impacts of his/her work.
10. Can present his/her ideas and works in written and oral form effectively; uses English effectively.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
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Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering