ACADEMICS
Course Detail

ELE 730 Digital Communications I
2017-2018 Fall term information

The course is open this term
Section:
Supervisor(s):Dr. Cenk Toker
PlaceDayHours
SSTuesday09:00 - 11:45

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University (http://ects.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.

ELE730 - DIGITAL COMMUNICATIONS I

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
DIGITAL COMMUNICATIONS I ELE730 Any Semester/Year 3 0 3 10
Prerequisite(s)
Course languageTurkish
Course typeElective†
Mode of DeliveryFace-to-Face†
Learning and teaching strategiesLecture
Question and Answer
Problem Solving
Instructor (s)Prof.Dr. Mehmet řafak†
Course objectiveThe 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
  1. A student completing the course successfully will L.O.1. understand and solve problems related to digital modulations,
  2. L.O.2. be able to compare relative (dis)advantages of different modulation techniques,
  3. L.O.3. understand and solve problems related to channel coding,
  4. L.O.4. be able to design communication systems combining various modulation and coding techniques
  5. L.O.5. understand and solve problems related to spread spectrum transmission and apply his knowledge in the domains including multiple access (CDMA), ranging, AJ.
Course ContentCoherent 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.
Referencesřafak, 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

WeeksTopics
Week 1Optimum receiver in AWGN channel; matched-filter and correlation receivers. Optimum detector. Maximum likelihood and MAP detection.
Week 2Antipodal and orthogonal signaling. Symbol error probability of M-ary orthogonal and biorthogonal signaling, simplex and binary-coded signaling
Week 3M-ary PSK, differentially-encoded PSK (DEPSK), Differential PSK (DPSK)
Week 4M-ary PAM, M-ary QAM, Noncoherent M-ary FSK. Comparison of modulation techniques, Shannon?s capacity theorem
Week 5Fundamentals 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 6Linear 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 7Midterm Exam I
Week 8Examples of cyclic codes: Hamming, BCH, RS, CRC and LDPC codes. ARQ and hybrid ARQ techniques; throughput, delay and packet error probabilities
Week 9Convolutional codes; code tree, state and trellis diagrams. Hard-decision vs. soft-decision decoding. Viterbi algorithm. Interleaving. Turbo codes
Week 10Fundamentals of spread spectrum. Concept of spreading. Pseudo random (PN) codes. Kasami and Gold sequences.
Week 11Direct-sequence spread spectrum, processing gain, AJ, LPI, multipath rejection, ranging. Example: GPS system
Week 12Midterm Exam II
Week 13CDMA. Spreading and multiple-access capabilities of 2G and 3G systems
Week 14Frequency-hopping spread spectrum. Fast vs. slow hopping. Performance evaluation in AWGN channel. AJ performance. Multi-user FH systems.
Week 15Preparation to Final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments65
Presentation00
Project00
Seminar15
Midterms240
Final exam150
Total100
Percentage of semester activities contributing grade succes950
Percentage of final exam contributing grade succes150
Total100

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)149126
Presentation / Seminar Preparation11212
Project000
Homework assignment6424
Midterms (Study duration)13030
Final Exam (Study duration) 13030
Total Workload3788264

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has highest level of knowledge in certain areas of Electrical and Electronics Engineering.X
2. Has knowledge, skills and and competence to develop novel approaches in science and technology.X
3. Follows the scientific literature, and the developments in his/her field, critically analyze, synthesize, interpret and apply them effectively in his/her research.X
4. Can independently carry out all stages of a novel research project.X
5. Designs, plans and manages novel research projects; can lead multidisiplinary projects.X
6. Contributes to the science and technology literature.X
7. Can present his/her ideas and works in written and oral forms effectively; in Turkish or English.X
8. Is aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility and disseminates them.X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

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