EE4-65 Wireless Communications
Lecturer(s): Dr Bruno ClerckxAims:
MIMO (Multiple Input Multiple Output) refers to communication systems with multiple antennas at the transmitters and the receivers. MIMO (often combined with OFDM) has become an essential part of any wireless communication system and has been adopted in various systems as IEEE 802.11n (WiFi), IEEE802.16e and m (WiMAX), 3GPP LTE and LTE-Advanced. MIMO forms the essential technology of 4G and future 5G communication systems.
The course “wireless communications” is an advanced course on wireless communication and communication theory that details the fundamentals of wireless communications from a 4G and beyond perspective. A major focus of the course is on MIMO and multi-user communications at the link and system level.
The course will be valuable for students pursuing either a PhD in communication or a career in a high-tech telecom company (research centres, R&D branches of telecom manufacturers and operators).
The course is made of 2 parts: theoretical lectures covering the link and system level design of MIMO and multi-user communication systems and coursework (project) where students aim at simulating a simplified MIMO-based system (like LTE/LTE-Advanced/WiMAX).
Learning Outcomes:
Knowledge and understanding: channel modelling and propagation, MIMO Capacity, space-time coding (with perfect, partial or without transmit channel knowledge), MIMO receivers, MIMO for multi-carrier systems (e.g. MIMO-OFDM), multi-user communications, multi-user MIMO, introduction to cooperative and coordinated multi-cell MIMO, introduction to MIMO in 4G (LTE, LTE-Advanced, WiMAX)
Skills: Mathematical modelling and analysis of MIMO systems, Design (transmitters and receivers) of multi-cell multi-user MIMO communication systems, hands-on experience of MIMO systems performance evaluations, practical understanding of MIMO applications
Syllabus:
- Channel modeling and propagation: fading channels, multi-dimensional propagation, analytical MIMO channel representations, physical MIMO channel models
- MIMO Capacity: ergodic capacity of iid, correlated and rician fading channels, Outage Capacity and Diversity-Multiplexing Trade-Off of iid, correlated and rician fading channels
- Space-Time Coding in iid channels: Error Probability and information theory based design for fast and slow fading channels, Space-Time Block Coding, Spatial Multiplexing, D-BLAST, Orthogonal and Quasi-orthogonal codes, Linear dispersion codes, Algebraic codes, Space-time trellis codes
- MIMO receiver: Linear receivers, decision feedback receiver, lattice and sphere decoding
- Space-time coding for general channels: error probability for fast and slow general fading channels, universal code design, catastrophic codes
- Space-time coding with partial transmit channel knowledge: channel statistics based precoding, quantized precoding
- Space-time coding for frequency selective channels: ergodic capacity and outage capacity, diversity multiplexing tradeoff, code design for single-carrier and multi-carrier
- Multi-User MIMO: Capacity of Multi-User MIMO channels (Broadcast and Multiple-access channels), Multi-User Diversity and Scheduling, Multi-User MIMO Linear Precoding, Multi-User MIMO Non-Linear Precoding, Multi-User MIMO Precoding with Partial Transmit Channel Knowledge
- Multi-Cell MIMO: Capacity of Coordinated and Cooperative Multi-Cell MIMO Channels, Multi-Cell Resource Allocation, Multi-Cell Coordination and cooperation, coordinated scheduling, beamforming and power control
- MIMO in LTE, LTE-Advanced and WiMAX
Assessment:
Coursework contribution: 30%
Term: Spring
Closed or Open Book (end of year exam): N/A
Coursework Requirement
N/A
Oral Exam Required (as final assessment): N/A
Prerequisite: EE4-01 - Advanced Communication Theory
Course Homepage: unavailable
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