Learning objectives
Instruction aim
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.
Prerequisites
Prerequisites
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 strongly encouraged to pass these exams before attending the course.
Course unit content
Outline
Channel models. Channel capacity. Diversity techniques. Multiple-input multiple-output (MIMO) systems. Resource allocation techniques.
Full programme
Detailed outline
1. Channel models (22 h)
1.1 Review of radio propagation (2 h)
1.2 Path loss models (5 h)
Free space
Flat earth
Empirical models
Ray tracing
1.3 Shadowing model (3 h)
Lognormal distribution
Spatial correlation
Outage probability
1.4 Fading models (11 h)
Rayleigh
Rice
Nakagami
Multipath
1.5 MIMO channel models (1 h)
2. Performance of wireless systems (15 h)
2.1 Channel capacity (12 h)
Ergodic capacity with CSIR
Outage capacity
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)
Selection combining
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
Outage probability
Outage capacity
High and low SNR regimes
4. MIMO systems (17 h)
4.1 Singular value decomposition (3 h)
Singular values
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
Diversity-multiplexing tradeoff
Overview of space-time codes and examples
Overview of multiuser MIMO
5. Introduction to OFDM (5 h)
5.1 Realization of OFDM (4 h)
Direct-form
DFT-form
Cyclic-prefixed
5.2 Resource allocation (1 h)
Single-carrier systems
OFDM systems
Bibliography
Reference textbooks
Textbook:
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.
Additional bibliography:
- 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.
Teaching methods
Instruction methods
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:
Lectures 56
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
- solve the assigned homework well before the scheduled session in order to fully appreciate the solution offered by the instructor.
* Active attendance requires that the topics of each lecture or session are studied and understood with sufficient depth and proper timing to be able to interact and ask questions during the next lecture.
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 methods
Evaluation comprehensively based on:
- Level of active and regular attendance of classroom lecture, exercise and laboratory sessions (15%)
- Midterm written exam (35%)
- Final written exam (35%)
- Oral exam (15%).
Remedial evaluation (discouraged option):
Comprehensively based on written exam and oral exam.
Other information
Other issues
The course relies upon a specific web site:
http://www.tlc.unipr.it/raheli/wc/index-wc.html
2030 agenda goals for sustainable development
