Objectives
The course aims to present the principles of current wireless
communication systems, with a rigorous approach but also attention
towards an operational knowledge.
Contents
Channel models. Channel capacity. Diversity techniques.
Multiple-input multiple-output (MIMO) systems. Resource allocation
techniques.
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 in order to be able to
interact with the instructor 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.
Examination
methods
Evaluation
comprehensively based on:
Remedial evaluation:
Comprehensively
based on written exam and extended oral exam.
Oral exam - The student
must show good knowledge of the entire course material and be able
to elaborate on it. The main exam focus is to verify that the
student is able to reason on the subject matter. There is no
restriction on the type of questions and topics, which may include
descriptions, proofs, short problems and practical tests.
Extended oral exam - This
exam may be assigned if the student has fulfilled partially some
of the evaluation requirements. Its purpose is the same of the
Oral exam, but it may further involve the solution of written
problems, the detailed proof of some results, laboratory tests or
any other examination methods deemed necessary to assess the
student preparation.
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.
These subjects are typical of a first-level university curriculum
in Information Engineering. However, sufficient proficiency is
obtained by passing the following first-year exams:
- Detection and Estimation
- Information Theory.
Students are strongly encouraged to pass these exams before
attending the course.
Textbook
Other
textbooks