This is a course for graduate students. This course gives students the background necessary to model, simulate, evaluate and test different aspects of a wireless comuunication system.
Course Content
This course contains; Motivation Behind Modeling, Simulation, Evaluation, Measurement and Testing of a Communication System,Channel Modeling and Simulation,Test and Measurement Tools,Detailed Tx/Rx Simulation,Time/Freqeuncy Analysis,Sparsity and Compressed Sensing,Machine Learning for Communication,Fuzzy Logic for Communication,Convex Optimization Techniques,Point Poisson Process and its Application in Communication Systems,Fuzzy Logic for Communication,Signal Separation ofr Non-orthogonal Waveforms,Case-Study: UAV, CoMP/CRAN, Cognitive Radios,Case-Sudy: Ultra-Reliable and Low Latency Communication.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
After successful completion of the course, the student will be able to:
1-Understand the components of a wireless communication system.
2-Learn how to model and simulate components of a communication system.
3-Handle basic measurements in the lab.
4-Identify and utilize the tools needed in different scenarios.
5-Carry out analysis from scratch for realistic case studies in wireless communication systems.
3
Teaching Methods:
3: Problem Baded Learning Model
Assessment Methods:
Course Outline
Order
Subjects
Preliminary Work
1
Motivation Behind Modeling, Simulation, Evaluation, Measurement and Testing of a Communication System
2
Channel Modeling and Simulation
3
Test and Measurement Tools
4
Detailed Tx/Rx Simulation
5
Time/Freqeuncy Analysis
6
Sparsity and Compressed Sensing
7
Machine Learning for Communication
8
Fuzzy Logic for Communication
9
Convex Optimization Techniques
10
Point Poisson Process and its Application in Communication Systems
11
Fuzzy Logic for Communication
12
Signal Separation ofr Non-orthogonal Waveforms
13
Case-Study: UAV, CoMP/CRAN, Cognitive Radios
14
Case-Sudy: Ultra-Reliable and Low Latency Communication
Resources
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Develop and deepen the current and advanced knowledge in the field with original thought and/or research and come up with innovative definitions based on Master's degree qualifications.
2
Conceive the interdisciplinary interaction which the field is related with ; come up with original solutions by using knowledge requiring proficiency on analysis, synthesis and assessment of new and complex ideas.
3
Evaluate and use new information within the field in a systematic approach and gain advanced level skills in the use of research methods in the field.
4
Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field.
5
Broaden the borders of the knowledge in the field by producing or interpreting an original work or publishing at least one scientific paper in the field in national and/or international refereed journals.
6
Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements.
7
Independently perceive, design, apply, finalize and conduct a novel research process.
8
Ability to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level.
9
Critical analysis, synthesis and evaluation of new and complex ideas in the field.
10
Recognizes the scientific, technological, social or cultural improvements of the field and contribute to the solution finding process regarding social, scientific, cultural and ethical problems in the field and support the development of these values.
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
50
Rate of Final Exam to Success
50
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
0
0
0
Resolution of Homework Problems and Submission as a Report
0
0
0
Term Project
0
0
0
Presentation of Project / Seminar
10
8
80
Quiz
0
0
0
Midterm Exam
3
12
36
General Exam
1
10
10
Performance Task, Maintenance Plan
14
2
28
Total Workload(Hour)
196
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(196/30)
7
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
ADVANCED SIMULATION of WIRELESS COMMUNICATION
-
Spring Semester
3+0
3
8
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
English
Course Level
Third Cycle (Doctorate Degree)
Course Type
Elective
Course Coordinator
Prof.Dr. Hüseyin ARSLAN
Name of Lecturer(s)
Prof.Dr. Hüseyin ARSLAN
Assistant(s)
Aim
This is a course for graduate students. This course gives students the background necessary to model, simulate, evaluate and test different aspects of a wireless comuunication system.
Course Content
This course contains; Motivation Behind Modeling, Simulation, Evaluation, Measurement and Testing of a Communication System,Channel Modeling and Simulation,Test and Measurement Tools,Detailed Tx/Rx Simulation,Time/Freqeuncy Analysis,Sparsity and Compressed Sensing,Machine Learning for Communication,Fuzzy Logic for Communication,Convex Optimization Techniques,Point Poisson Process and its Application in Communication Systems,Fuzzy Logic for Communication,Signal Separation ofr Non-orthogonal Waveforms,Case-Study: UAV, CoMP/CRAN, Cognitive Radios,Case-Sudy: Ultra-Reliable and Low Latency Communication.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
After successful completion of the course, the student will be able to:
1-Understand the components of a wireless communication system.
2-Learn how to model and simulate components of a communication system.
3-Handle basic measurements in the lab.
4-Identify and utilize the tools needed in different scenarios.
5-Carry out analysis from scratch for realistic case studies in wireless communication systems.
3
Teaching Methods:
3: Problem Baded Learning Model
Assessment Methods:
Course Outline
Order
Subjects
Preliminary Work
1
Motivation Behind Modeling, Simulation, Evaluation, Measurement and Testing of a Communication System
2
Channel Modeling and Simulation
3
Test and Measurement Tools
4
Detailed Tx/Rx Simulation
5
Time/Freqeuncy Analysis
6
Sparsity and Compressed Sensing
7
Machine Learning for Communication
8
Fuzzy Logic for Communication
9
Convex Optimization Techniques
10
Point Poisson Process and its Application in Communication Systems
11
Fuzzy Logic for Communication
12
Signal Separation ofr Non-orthogonal Waveforms
13
Case-Study: UAV, CoMP/CRAN, Cognitive Radios
14
Case-Sudy: Ultra-Reliable and Low Latency Communication
Resources
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Develop and deepen the current and advanced knowledge in the field with original thought and/or research and come up with innovative definitions based on Master's degree qualifications.
2
Conceive the interdisciplinary interaction which the field is related with ; come up with original solutions by using knowledge requiring proficiency on analysis, synthesis and assessment of new and complex ideas.
3
Evaluate and use new information within the field in a systematic approach and gain advanced level skills in the use of research methods in the field.
4
Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field.
5
Broaden the borders of the knowledge in the field by producing or interpreting an original work or publishing at least one scientific paper in the field in national and/or international refereed journals.
6
Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements.
7
Independently perceive, design, apply, finalize and conduct a novel research process.
8
Ability to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level.
9
Critical analysis, synthesis and evaluation of new and complex ideas in the field.
10
Recognizes the scientific, technological, social or cultural improvements of the field and contribute to the solution finding process regarding social, scientific, cultural and ethical problems in the field and support the development of these values.
