COURSE INFORMATION
Course Title: MOBILE AND WIRELESS NETWORKING
Code Course Type Regular Semester Theory Practice Lab Credits ECTS
CEN 374 B 99 2 2 0 3 6
Language: English
Compulsory/Elective: Elective
Classroom and Meeting Time:
Course Description: -
Course Objectives: This course introduces advanced research topics in wireless networks and mobile communication systems. Introduction to new wireless designs, algorithms, protocols and applications will be presented. The courses is systems oriented and focus on practical challenges and solutions for building wireless and mobile systems. Student will also learn how to design and build wireless systems through a research project.
COURSE OUTLINE
Week Topics
1 Introduction to wireless networks.
2 Introduction to OFDM.
3 Wireless MAC.
4 MIMO.
5 Backscatter communication.
6 Wireless localization.
7 Wireless sensing.
8 Software defined radio.
9 Network coding.
10 Full duplex radio.
11 Spectrum sensing and 5G network.
12 Visible light communications.
13 RF Distortion Analysis for OFDM WLAN.
14 Rapid Prototyping of WLANs Using FPGA.
Prerequisite(s): Digital data transmission, Signals & Systems, Digital Signal Processing, Linear Algebra and Fundamental of Probability.
Textbook: Computer Networking (A Top-Down Approach Featuring the Internet) J. F. Kurose and D. W. Ross, Addison-Wesley OFDM Wireless LANs : A Theoretical and Practical Guide, John Terry and Juha Heiskala, Sams, 2002. Available @ MIT Libraries Fundamentals of Wireless Communication, David Tse and Pramod Viswanath, Cambridge University Press, 2005. Available Online
Other References:
Laboratory Work:
Computer Usage:
Others: No
COURSE LEARNING OUTCOMES
1 The student will become familiar with OFDM modulation both Tx&Rx and phase tracking.
2 Students will also learn how to design and build wireless systems
3 Students will become familiar with wireless communication channel and Software Define Radio.
4 Students will become familiar wireless MAC and Interference Management.
5 Students will become familiar with wireless localization and sensing.
6 Students will become familiar with MIMO TX&RX.
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
Bachelor in Computer Engineering (3 years) Program
1 Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice. 5
2 Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations. 5
3 Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects. 5
4 Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies. 5
5 Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions. 4
6 Ability of identifying the potential resources for information or knowledge regarding a given engineering issue. 3
7 The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence. 3
8 Ability for effective oral and official communication skills in foreign language. 3
9 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology. 2
10 Engineering graduates with well-structured responsibilities in profession and ethics. 2
11 Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues. 2
12 Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity. 2
COURSE EVALUATION METHOD
Method Quantity Percentage
Midterm Exam(s)
1
30
Project
1
30
Final Exam
1
40
Total Percent: 100%
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 10 2 20
Mid-terms 1 20 20
Assignments 1 26 26
Final examination 1 20 20
Other 0
Total Work Load:
150
Total Work Load/25(h):
6
ECTS Credit of the Course:
6