| 1. | Course Title | Modern Wireless Systems | |||||||||||
| 2. | Code | 4ФЕИТ10014 | |||||||||||
| 3. | Study program | 11-IBS, 12-KIT, 20-IMSA | |||||||||||
| 4. | Organizer of the study program (unit, institute, department) | Faculty of Electrical Engineering and Information Technologies | |||||||||||
| 5. | Degree (first, second, third cycle) | Second cycle | |||||||||||
| 6. | Academic year/semester | I/1 | 7. | Number of ECTS credits | 6.00 | ||||||||
| 8. | Lecturer | Dr Venceslav Kafedziski | |||||||||||
| 9. | Course Prerequisites | ||||||||||||
| 10. | Course Goals (acquired competencies):
Upon completing the course, it is expected that the student will know the basic and advanced transmission techniques used by the current and future wireless systems for communication among people, devices, sensors and vehicles, non-terrestrial communications, joint sensing and communications, transmission in millimeter wave, Terahertz and optical bands, to know how to use machine learning in wireless systems, and to be capable of researching in the area of wireless systems. |
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| 11. | Course Syllabus:
Classification of wireless systems according to mobility and according to range. Wireless link budget calculation. Overview of basic modulation, coding, and multiple antenna techniques in wireless systems – OFDM, MIMO, antenna arrays and beamforming, error control coding, and multiple access techniques. Advanced transmission techniques in future systems: ultra-massive MIMO systems, distributed massive MIMO systems, intelligent reflective surfaces, next-generation multiple access. Transmission with millimeter waves and in the terahertz range. Optical wireless communications (VLC, LiFi, FSO). Transmission techniques for the Internet of Things (IoT), machine-to-machine (M2M) communication, and vehicle-to-everything (V2X) communication. Non-terrestrial communications: using drones (UAVs), high altitude platforms (HAPs) and satellites. Application of radars and sensors to improve communication and to sense the environment. Integrated sensing and communication. Application of Machine Learning methods and techniques in Wireless Communications. Standardization activities in ETSI, ITU and IEEE. |
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| 12. | Learning methods:
Lectures, guest lectures, self-learning, term projects, active participation in lectures, consultations. |
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| 13. | Total number of course hours | 180 | |||||||||||
| 14. | Distribution of course hours | 3 + 3 | |||||||||||
| 15. | Forms of teaching | 15.1 | Lectures-theoretical teaching | 45 hours | |||||||||
| 15.2 | Exercises (laboratory, practice classes), seminars, teamwork | 45 hours | |||||||||||
| 16. | Other course activities | 16.1 | Projects, seminar papers | 30 hours | |||||||||
| 16.2 | Individual tasks | 30 hours | |||||||||||
| 16.3 | Homework and self-learning | 30 hours | |||||||||||
| 17. | Grading | ||||||||||||
| 17.1 | Exams | points | |||||||||||
| 17.2 | Seminar work/project (presentation: written and oral) | 50 points | |||||||||||
| 17.3. | Activity and participation | points | |||||||||||
| 17.4. | Final exam | 50 points | |||||||||||
| 18. | Grading criteria (points) | up to 50 points | 5 (five) (F) | ||||||||||
| from 51 to 60 points | 6 (six) (E) | ||||||||||||
| from 61 to 70 points | 7 (seven) (D) | ||||||||||||
| from 71 to 80 points | 8 (eight) (C) | ||||||||||||
| from 81 to 90 points | 9 (nine) (B) | ||||||||||||
| from 91 to 100 points | 10 (ten) (A) | ||||||||||||
| 19. | Conditions for acquiring teacher’s signature and for taking final exam | None | |||||||||||
| 20. | Forms of assessment |
The exam includes a written or oral final exam from the course material listed in the course content and completion and presentation of a term paper/project on a subject mutually agreed by the student and the teacher. |
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| 21. | Language | Macedonian and English | |||||||||||
| 22. | Method of monitoring of teaching quality | Self-evaluation | |||||||||||
| 23. | Literature | ||||||||||||
| 23.1. | Required Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | V. W. S. Wong, R. Schober, D. W. K. Ng, L-C. Wang | Key Technologies for 5G Wireless Systems | Cambridge University Press | 2017 | |||||||||
| 2. | W. Jiang, F-L. Luo | 6G Key Technologies: A Comprehensive Guide | IEEE Press | 2022 | |||||||||
| 23.2. | Additional Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | Y. C. Eldar, A. Goldsmith, D. Gündüz, H. V. Poor | Machine Learning and Wireless Communications | Cambridge University Press | 2022 | |||||||||
