The goal of MOBCOM is to provide a fundamental understanding of mobile communication systems. The course will seek to describe the key aspects of channel characteristics/modeling, of communication techniques, and to describe the application of these techniques in wireless communication systems.
Teaching and Learning Methods: Lectures and Lab sessions (group of 2-3 students).
Course Policies: Attendance at the lab session is mandatory.
- D. Tse and P. Viswanath, “Fundamentals of Wireless Communication,” 2005.
- T. Cover and J. Thomas, “Elements of Information Theory,” 1991.
- Proakis, John G., “Digital Communications, Fourth Edition,”, 2001.
- Papoulis and Pillai , “Probability, random variables and stochastic processes,” 2002.
Knowledge in discrete math, probability theory, random processes, transform theory
- Physical channel modeling, input/output channel models,
- Time and frequency channel coherence
- Statistical channel modeling.
- Detection in fading channels, degrees of freedom, effects of channel uncertainty
- Diversity techniques (time/antenna/frequency diversity, space-time codes).
- OFDM, channel estimation.
- Capacity of AWGN and fading wireless channels
- Multi-user capacity and opportunistic communications,
- Uplink/downlink AWGN channel, uplink/downlink fading channel
- Multiuser diversity, multi-node networks.
Learning Outcomes:
To provide a fundamental understanding of mobile communication systems. The course will seek to describe the key aspects of channel characteristics/modeling, of communication techniques, and to describe the application of these techniques in wireless communication systems. The course will cover recent research developments, such as opportunistic communications, basic aspects of MIMO communications, and OFDMA. Specific topics will include basic properties of multipath fading, diversity techniques, multiple access and interference management, fundamental capacity exposition and opportunistic communications. Emphasis will also be paid on coding, and different classical and modern techniques that help us understand how some of the capacity results that we had can be achieved in practice. Emphasis will be given on classical and convolutional codes, and some aspects of other advanced codes will also be covered.
Nb hours: 42.00
Evaluation:
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Midterm exam (25% of the final grade)
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Lab. reports (25% of the final grade)
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Homework (10% of the final grade)
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Final Exam (40% of the final grade)
