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
(discouraged option):
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