Program Overview

Course Description

The course FIK3510, Multiple Antenna Communications, covers the fundamental theory for utilizing antenna arrays to achieve more efficient wireless communication systems. The focus is on physical layer aspects, including channel estimation, spectral efficiency computation, spatial signal processing, and power optimization.

Course Details

• The course covers the fundamentals of multi-user 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 the topic are required.
• The course consists of 9 lectures, each with around 45 minutes of videos to watch in advance and 90 minutes of examples and discussions in class.
• There are 6 homework sets with around 5 exercises each, and 2 lab exercises that each take around 5 hours to solve.

Content and Learning Outcomes

Course Disposition

• 9 lectures with videos and class discussions
• 6 homework sets with exercises
• 2 lab exercises

Course Contents

• Fundamental limits: Capacity behavior as power or bandwidth increases
• Basic multiple antenna channels: Array gain, capacity of channels with multiple antennas at one side
• 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

Intended Learning Outcomes

• Describe, apply, and analyze the fundamental limitations when using the wireless medium for communications
• Apply multiple antenna techniques to achieve high capacity in point-to-point as well as multi-user communications
• Formulate and solve engineering-oriented problems regarding the achievable performance and limits of multiple antenna communications
• Utilize power control and other resource management parameters to design communication systems that meet given service requirements on spectral efficiency and energy efficiency
• Implement, validate, and compare the main theoretic multiple antenna concepts via computer simulations

Literature and Preparations

Specific Prerequisites

• Enrolled as a doctoral student

Recommended Prerequisites

• Linear algebra and calculus: Computations with matrices and vectors, determinant, eigenvalues
• Mathematical statistics: Stochastic variables, estimation of realizations of stochastic variables
• Elementary communication theory: Channel models, channel capacity, the entropy concept

Examination and Completion

Grading Scale

• P, F

Examination

• Written examination
• Laboratory exercises carried out in MATLAB
• Homework problems solved individually and discussed in joint tutorial sessions

Other Requirements for Final Grade

• At least 2/3 correct answers on the written exam and homework problems
• Correct solutions to laboratory exercises and a lab report of sufficient quality
• 90% attendance on scheduled laboratory exercises and tutorials

Further Information

Offered by

• EECS/Communication Systems

Education Cycle

• Third cycle

Supplementary Information

• Parts of the lecture material consist of videos.