CS422 Wireless Mobile Networks
Syllabus | International University of Sarajevo - Last Update on Oct 10, 2025
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Computer Sciences and Engineering
Mohammed Saeed Jawad
Course Lecturer
Course Objectives
1- Understand wireless communication fundamentals and propagation characteristics. 2- Explain and compare multiple access techniques (FDMA, TDMA, CDMA, OFDMA). 3- Analyze MAC and routing protocols used in wireless LANs and cellular networks. 4- Study wireless network architectures and mobility management strategies. 5- Examine next-generation technologies, including IoT, 5G, and 6G. 6- Evaluate network performance metrics such as throughput, delay, and QoS. 7- Design and simulate wireless network solutions using case-based analysis.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Sauter, M. (2021). From GSM to LTE-Advanced Pro and 5G: An Introduction to Mobile Networks and Mobile Broadband (4th ed.). Wiley.
Additional Literature
Goldsmith, A. (2020). Wireless Communications. Cambridge University Press. Khan, F., & Pi, Z. (2021). 5G New Radio: Fundamentals, Procedures, and Protocols. Cambridge University Press.Teaching Methods
Class discussions with examples
Active tutorial sessions for engaged learning and continuous feedback on progress
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction to wireless and mobile communication; course overview | Ch. 1 (Sauter, 2021) |
| 2 | Wireless transmission principles and propagation models | Ch. 2 (Sauter, 2021) |
| 3 | Multiple access techniques (FDMA, TDMA, CDMA, OFDMA) | Ch. 3 (Sauter, 2021) |
| 4 | Cellular network concepts and frequency reuse | Ch. 4 (Sauter, 2021) |
| 5 | WLAN standards (IEEE 802.11 a/b/g/n/ac/ax); CSMA/CA protocol | Ch. 5 (Sauter, 2021) |
| 6 | MAC layer protocols and performance analysis | Ch. 6 (Sauter, 2021) |
| 7 | MIDTERM | -------------------- |
| 8 | Mobile IP, mobility management, and handover mechanisms | Ch. 7 (Sauter, 2021) |
| 9 | Ad hoc networks and routing protocols (AODV, DSR) | Ch. 8 (Sauter, 2021) |
| 10 | Bluetooth, ZigBee, and Wireless Sensor Networks | Ch. 9 (Sauter, 2021) |
| 11 | LTE and LTE-Advanced network architecture | Ch. 10 (Sauter, 2021) |
| 12 | 5G and 6G evolution: network slicing, massive MIMO, mmWave | Ch. 11 (Sauter, 2021) |
| 13 | IoT and cognitive radio networks | Ch. 12 (Sauter, 2021) |
| 14 | Student project presentations (case studies) | Project |
| 15 | Final presentations, course summary, and feedback | Project |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| CS422.1 | Course | Monday 10:00 - 12:50 | B F2.4 | - | - |
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Quizzes
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Project
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
In-term exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture hours
45 hours ⏳ (15 week × 3 h)
In-term exam study
8 hours ⏳ (1 week × 8 h)
Active tutorials
28 hours ⏳ (14 week × 2 h)
Final exam study
9 hours ⏳ (1 week × 9 h)
Quizzes
9 hours ⏳ (3 week × 3 h)
Project
36 hours ⏳ (12 week × 3 h)
Home study
15 hours ⏳ (15 week × 1 h)
150 Total Workload Hours
6 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [CS422] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on Oct 10, 2025 | International University of Sarajevo
Print Syllabus
Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| CS422 | Wireless Mobile Networks | 3 | 2 | 6 | ||||||
| Prerequisite | SE308 | It is a prerequisite to | - | |||||||
| Lecturer | Mohammed Saeed Jawad | Office Hours / Room / Phone | Currently not available |
|||||||
| msjawad@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | 1- Understand wireless communication fundamentals and propagation characteristics. 2- Explain and compare multiple access techniques (FDMA, TDMA, CDMA, OFDMA). 3- Analyze MAC and routing protocols used in wireless LANs and cellular networks. 4- Study wireless network architectures and mobility management strategies. 5- Examine next-generation technologies, including IoT, 5G, and 6G. 6- Evaluate network performance metrics such as throughput, delay, and QoS. 7- Design and simulate wireless network solutions using case-based analysis. |
|||||||||
| Textbook | Sauter, M. (2021). From GSM to LTE-Advanced Pro and 5G: An Introduction to Mobile Networks and Mobile Broadband (4th ed.). Wiley. | |||||||||
| Additional Literature |
|
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| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
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| Teaching Methods | Class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction to wireless and mobile communication; course overview | Ch. 1 (Sauter, 2021) | ||||||||
| Week 2 | Wireless transmission principles and propagation models | Ch. 2 (Sauter, 2021) | ||||||||
| Week 3 | Multiple access techniques (FDMA, TDMA, CDMA, OFDMA) | Ch. 3 (Sauter, 2021) | ||||||||
| Week 4 | Cellular network concepts and frequency reuse | Ch. 4 (Sauter, 2021) | ||||||||
| Week 5 | WLAN standards (IEEE 802.11 a/b/g/n/ac/ax); CSMA/CA protocol | Ch. 5 (Sauter, 2021) | ||||||||
| Week 6 | MAC layer protocols and performance analysis | Ch. 6 (Sauter, 2021) | ||||||||
| Week 7 | MIDTERM | -------------------- | ||||||||
| Week 8 | Mobile IP, mobility management, and handover mechanisms | Ch. 7 (Sauter, 2021) | ||||||||
| Week 9 | Ad hoc networks and routing protocols (AODV, DSR) | Ch. 8 (Sauter, 2021) | ||||||||
| Week 10 | Bluetooth, ZigBee, and Wireless Sensor Networks | Ch. 9 (Sauter, 2021) | ||||||||
| Week 11 | LTE and LTE-Advanced network architecture | Ch. 10 (Sauter, 2021) | ||||||||
| Week 12 | 5G and 6G evolution: network slicing, massive MIMO, mmWave | Ch. 11 (Sauter, 2021) | ||||||||
| Week 13 | IoT and cognitive radio networks | Ch. 12 (Sauter, 2021) | ||||||||
| Week 14 | Student project presentations (case studies) | Project | ||||||||
| Week 15 | Final presentations, course summary, and feedback | Project | ||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | 1,2,3,4 | Not Allowed | |
| Semester Evaluation Components | |||||
| Quizzes | 3 | 15 | 1,2,3,4 | Not Allowed | |
| Project | 1 | 15 | 1,2,3,4 | Not Allowed | |
| In-term exam | 1 | 30 | 1,2,3,4 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 15 | 45 | In-term exam study | 8 | 1 | 8 | |||
| Active tutorials | 2 | 14 | 28 | Final exam study | 9 | 1 | 9 | |||
| Quizzes | 3 | 3 | 9 | Project | 3 | 12 | 36 | |||
| Home study | 1 | 15 | 15 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 26/10/2025 | |||||||||