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FIK3510 Multiple Antenna Communications 9.0 hp

Course memo Spring 2023-61074

Version 1 – 02/21/2023, 9:05:24 AM

Course offering

Spring 2023-1 (Start date 20 Mar 2023, English)

Language Of Instruction

English

Offered By

EECS/Communication Systems

Course memo Spring 2023

Course presentation

The course covers the fundamental theory for how antenna arrays can be utilized to achieve more efficient wireless communication systems, for example, in 5G cellular networks. The focus is on physical layer aspects, including channel estimation, spectral efficiency computation, spatial signal processing, and power optimization. The course covers the fundamentals of “Massive MIMO (multiple input multiple output), point-to-point MIMO, as well as modeling of line-of-sight and fading multi-antenna channels. The course is recommended for doctoral students with an interest in wireless communications and its applications, and no previous third-cycle courses on topic are required.

Headings denoted with an asterisk ( * ) is retrieved from the course syllabus version Spring 2021

Content and learning outcomes

Course contents

Fundamental limits: Capacity behavior as power or bandwidth increases. Examples of practical systems that are power and bandwidth limited. Orthogonal versus non-orthogonal transmission in scenarios with multiple users.

Basic multiple antenna channels: Array gain, capacity of channels with multiple antennas at one side. Modeling of multi‐antenna channel responses.

Fading channels: Rayleigh fading channels, outage capacity, diversity, channel coherence, ergodic capacity.

Point‐to‐point MIMO: Capacity of channels with multiple antennas at both sides, multiplexing gain, spatial degrees of freedom.

Uplink multi‐user MIMO: Uplink capacity, non‐linear and linear detection, channel estimation, capacity bounds in systems with many antennas.

Downlink multi‐user MIMO: Linear precoding, capacity bounds in systems with many antennas, differences and similarities between uplink and downlink.
Power control: Rate region, typical operating points, basic power allocation formulations.

Cellular networks: Engineering aspects of applying multiple antenna techniques in cellular networks, including reuse strategies, pilot contamination, and interference management.

Intended learning outcomes

After passing the course, the student should

  1. be able to describe, apply, and analyze the fundamental limitations when using the wireless medium for communications; in particular, the relations between channel capacity, channel coherence, spatial degrees of freedom, transmission power, pilot contamination, and bandwidth.
  2. be able to apply multiple antenna techniques to achieve high capacity in point‐to‐point as well as multi‐user communications, as well as being able to examine and interpret the results.
  3. with high precision be able to formulate and solve engineering oriented problems regarding the achievable performance and limits of multiple antenna communications.
  4. be able to utilize power control and other resource management parameters to design communication systems that meet given service requirements on spectral efficiency and energy efficiency.
  5. be able to implement, validate and compare the main theoretic multiple antenna concepts via computer simulations.

Learning activities

  • Around 9 lectures, each consisting of video content to watch in advance and then a meeting with 2-3 hours of interactive examples and discussions in class.
  • 6 seminar sessions, where solutions to tutorial problems are presented and discussed.
  • 2 lab exercise, each expected to take at least 5 hours to solve.

Active attendance are expected from the students in all activities.

In addition to the course contant and learning outcomes listed above, we will cover the fundamentals of reconfigurable intelligent surfaces on one of the lectures, since it can be analyzed using the same theory.

Preparations before course start

Recommended prerequisites

From linear algebra and calculus: Computations with matrices and vectors, determinant, eigenvalues. Computations with complex numbers.

From mathematical statistics: Stochastic variables, estimation of realizations of stochastic variables.

From elementary communication theory: Channel models, channel capacity, the entropy concept.

Literature

Compendium “Introduction to Multiple Antenna Communications and Reconfigurable Intelligent Surfaces” written by Emil Björnson and Özlem Tugfe Demir. Provided in digital form to the course attendees.

T. L. Marzetta, E. G. Larsson, H. Yang, and H. Q. Ngo, Fundamentals of Massive MIMO. Cambridge University Press, 2016.

Equipment

The lab exercises are carried out in MATLAB.

Examination and completion

Grading scale

P, F

Examination

  • EXA1 - Written examination, 9.0 credits, Grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

The examination consists of three parts: A written exam, laboratory exercises carried out in MATLAB, and a set of homework problems that are solved individually and then actively discussed in joint tutorial sessions.

The section below is not retrieved from the course syllabus:

The examination consists of three parts:

  1. Three homework sets with basic exercises, which covers the fundamentals and replaces the five-hour written exam from last course round.
  2. Two laboratory exercises, each expected to take around 5 hours to solve. One of them is examined orally and the other one is examined with a written report.
  3. Four homework sets with more challenging exercises, which are solved individually and then actively discussed in the seminar sessions.

Other requirements for final grade

The grade on the course is Pass/fail. The requirements for passing the course is at least 2/3 correct answers on the written exam and on the homework problems, correct solutions to the laboratory exercises and a lab report of sufficient quality. Moreover, 90% attendance on the scheduled laboratory exercises and tutorials is required.

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

No information inserted

Round Facts

Start date

20 Mar 2023

Course offering

  • Spring 2023-61074

Language Of Instruction

English

Offered By

EECS/Communication Systems

Contacts

Course Coordinator

Teachers

Examiner