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
class, exercise and laboratory sessions
- active attendance requires that all 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
- 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 by individual work; 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.
Examination methods
Evaluation
comprehensively based on:
Remedial evaluation
(discouraged option):
Comprehensively based
on written exam and extended oral exam, provided the laboratory
activity
requirements have been satisfactorily fulfilled during the course.
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, and short problems.
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.
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 suggested to pass these exams before attending the course.
Textbook
Other
textbooks