Learning outcomes of the course unit
1) Knowledge and understanding
The course presents the principles of current wireless communication systems, with a rigorous approach and attention to an operational knowledge.
2) Applying knowledge and understanding
Students learn to:
- use the main channel models to analyze and design wireless communication systems
- apply the main diversity, MIMO and resource allocation schemes
- evaluate the performance of wireless communication systems
- select the most suitable solutions in order to meet specifics in terms of performance and cost, also accounting for possible application constraints.
Knowledge of the following subjects is required:
- Probability, random variables and stochastic processes
- Signals, systems and Fourier transform
- Fundamentals of communication systems
- Basics of information theory.
Despite these subjects may be typical of a first-level university curriculum in Information Engineering, sufficient proficiency is possessed when the following first-year exams are passed:
- Detection and Estimation
- Information Theory.
Students are requested to pass these exams before attending the course.
Course contents summary
Channel models. Channel capacity. Diversity techniques. Multiple-input multiple-output (MIMO) systems. Resource allocation techniques.
1. Channel models (22 h)
1.1 Review of radio propagation (2 h)
1.2 Path loss models (5 h)
1.3 Shadowing model (3 h)
1.4 Fading models (11 h)
1.5 MIMO channel models (1 h)
2. Performance of wireless systems (15 h)
2.1 Channel capacity (12 h)
Ergodic capacity with CSIR
Ergodic capacity with CSIT
Power allocation strategies
High and low SNR regimes
2.2 Average error probability (3 h)
By direct integration
By the moment generating function
Alternate representation of the Gaussian tail function
3. Diversity techniques (13 h)
3.1 Time, frequency and space diversity (1 h)
3.2 Diversity combining (4 h)
Maximal ratio combining
Equal gain combining
3.3 Transmit diversity (2 h)
Maximal ratio transmission with CSIT (beamforming)
Transmit diversity with CSIR (Alamouti scheme)
3.4 Performance analysis of diversity systems (6 h)
Average error probability
High and low SNR regimes
4. MIMO systems (17 h)
4.1 Singular value decomposition (3 h)
Left and right singular vectors
Parallel decomposition of the MIMO channel
4.2 Capacity of the deterministic MIMO channel (5 h)
Capacity with CSIT
Water filling in the channel eigenmodes
Degrees of freedom and spatial multiplexing gain
Capacity with CSIR
4.3 Capacity of the fading MIMO channel (3 h)
Capacity achieving distribution with CSIR
High and low SNR regimes
MIMO outage capacity
4.4 Realistic MIMO systems (6 h)
MIMO diversity and beamforming
Overview of space-time codes and examples
Overview of multiuser MIMO
5. Introduction to OFDM (5 h)
5.1 Realization of OFDM (4 h)
5.2 Resource allocation (1 h)
A. Goldsmith, Wireless communications, Cambridge University Press, 2005.
Other useful books:
- D. Tse, P. Viswanath, Fundamentals of wireless communications, Cambridge University Press, 2005.
- A. Paulraj, R. Nabar, D. Gore, Introduction to space-time wireless communications, Cambridge Univ. Press, 2003.
- R. E. Ziemer, R. L. Peterson, Digital communications, 2nd edition, Prentice Hall, 2001.
- G. M. Vitetta, Fondamenti di trasmissione numerica, parte II: Caratterizzazione e modellistica dei canali radio, Pitagora editrice Bologna, 2008.
- G. L. Stuber, Principles of mobile communication, Kluwer, 1996.
- B. Sklar, Digital communications, Prentice Hall, 2001
- J. G. Proakis, Digital communications, McGraw-Hill, 2nd ed., 1989.
The course is organized in lectures, exercise and laboratory sessions. Homework assignments complement classroom activity.
A tentative schedule in terms of lecture hours might be:
Exercise sessions 10
Laboratory sessions 6
TOTAL HOURS 72
Effective learning requires the following necessary steps:
- attend actively all the lecture, exercise and laboratory sessions (active attendance requires that the topics of each lecture or session are studied and understood with sufficient depth and proper timing in order to be able to interact and ask questions during the next lecture)
- solve the assigned exercise homework well before the scheduled session in order to fully appreciate the solution offered by the instructor
- complete and submit in due time all the homework to be graded, including exercise and laboratory items
- perform all the homework individually; it is allowed to have preliminary discussions with peers, but they must stop before one starts working (copying from any source is not allowed, including peers, textbooks and the web: it will cause severe discipline to all the involved parties).
All the above steps are strictly necessary and none can be neglected to achieve a satisfactory preparation and pass the examination.
Assessment methods and criteria
Evaluation comprehensively based on:
- Level of active participation to classroom lecture, exercise and laboratory sessions (5%)
- Periodically assigned projects (10%)
- Midterm written exam (35%)
- Final written exam (35%)
- Final oral exam (15%).
Remedial evaluation (discouraged option):
Comprehensively based on written exam and oral exam, provided the laboratory activity requirements have been satisfactorily fulfilled during the course.