
| Course Code | : MTH301 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 5 |
| Prt. | : 0 |
| Credit | : 5 |
| Lab | : 0 |
| ECTS | : 5 |
These courses provide a systematic understanding of current changes, fundamental communication reporting, and advanced technical methods emerging in the field of nextgeneration wired communication technologies (especially 5G, 6G, and beyond). The course may cover advanced technical topics such as OFDM, massive MIMO, methods, RIS, NCR, mobility management, NTN, ISAC, AI/ML-based nutrition applications, and intellectual property rights. Students will develop a specific technical framework, conduct current literature and patent analyses, and improve their research, reporting, and academic writing skills.
This course provides a concise overview of the next generation of wireless communication technologies shaped by the 6G vision. Topics covered include: OFDM-based multi-carrier modulation, MIMO and Massive MIMO systems, and configuration. Intelligent Surfaces (RIS), Network Controlled 6G's core building blocks are being constructed in sections, including Repeaters (NCR), Integrated Sensing and Communications (ISAC), Non-Terrestrial Networks (NTN), mobility management, AI and machine learning-based network storage, as well as expanding intellectual property rights and patenting.
| Lec. Mümtaz YILMAZ |
| 1. | The student can explain the fundamental components of the 5G and 6G wireless communication ecosystem within the framework of Ulak Communication's work in Turkey and global trends. |
| 2. | The student can analyze the working principles and performance gains of next-generation physical layer and network technologies such as OFDM, MIMO, RIS, and NCR. |
| 3. | The student can compare basic methods related to positioning, mobility management, and satellite/NTN systems in wireless networks and evaluate suitable use cases. |
| 4. | The student can interpret intellectual property, patent processes, and R&D-focused innovation development approaches in wireless communication systems from an engineering perspective. |
| 5. | The student can discuss the role of AI/ML-based techniques and integrated sensing-communication (ISAC) approaches in future 6G networks and draw conclusions through example applications. |
| 1. | Wireless Communication by Goldsmith, Andrea (ISBN-13: 978-0521837163). |
| 2. | Wireless Communications 2nd Edition by Andreas F. Molisch (ISBN-13: 978-0470741863). |
| 3. | E. Alpaydin, Introduction to Machine Learning, 2nd ed. The MIT Press, 2010. |
| 4. | C. Johnson, 5G New Radio in Bullets, 1st ed., 2019. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 1 | 5 | 84 |
| Assignment | 5 | 0 | 2 | 10 |
| Individual Work | 14 | 0 | 1 | 14 |
| Midterm Examination | 1 | 5 | 1 | 6 |
| Final Examination | 1 | 5 | 1 | 6 |
| TOTAL WORKLOAD (hours) | 120 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | |
OÇ-1 | 3 | ||||||||||
OÇ-2 | 3 | 3 | |||||||||
OÇ-3 | 3 | ||||||||||
OÇ-4 | 3 | 3 | |||||||||
OÇ-5 | 3 | ||||||||||