Quantum Communication Infrastructure Fundamentals, Interdisciplinary Space Master, University of Luxembourg
Introduction to quantum mechanics
Linear algebra and the Dirac notation
The framework of quantum mechanics
Quantum states
Time-evolution
Composite Systems
Measurement
Basic quantum communication protocols
Teleportation
Superdense coding
Entanglement swapping
Quantum key distribution
Noise in quantum systems
Noisy quantum states
Noisy quantum evolution
Examples of quantum channels
Advanced Satellite Communications Systems, Interdisciplinary Space Master, University of Luxembourg
Link Characteristics and Antennas Design
6G NTN Background and Experimentations
Beamforming Techniques in Space
Precoding Techniques in Spaces
Space Radio Resource Management
Direct to Handheld Communications
Interference Management and Anti-jamming in Space
Space Edge Computing
Joint Communications, Sensing, Position, and Navigation
Quantum Communications in Space
Satellite Communications and Security, Interdisciplinary Space Master, University of Luxembourg - Class code bgre74
Introduction and Course Structure
System Architecture and Constellations
Satellite Spectrum
Satellite Channel and Link Budgets
Digital Communications Primer
Communication Payloads
Standards & Security
SatComs and 5G
Satellite IoT
Deep Space and Scientific Missions
5G Wireless Networks, University of Parma, Italy
Part 1 - 5G Verticals
Part 2 - Mobile Systems Spectrum & Architectures
Part 3 - CRAN
Part 4 - Femtocells & Hetnets
Part 5 - 5G SatComs
Part 6 - Backhauling & Fronthauling
Part 7 - Software Defined Networking
Part 8 - Network Function Virtualization
Part 9 - Multiuser Precoding/Beamforming
Part 10 - Massive MIMO
Part 11 - mmWave
Part 12 - Multicell Cooperation & Coordination
Part 13 - Multiuser & MIMO capacity regions
Part 14 - Linear Precoding
Part 15 - MassMIMO Pilot Contamination & Energy efficiency
Part 16 - MassMIMO Capacity limits & Random Matrix Theory
Part 17 - mmWave Transceiver Design
Part 18 - Multicast and Symbol-level Precoding
Part 19 - Non-orthogonal Multiple Access
Part 20 - Caching
Part 21 - Sample Exam Questions
Random Matrix Theory: Basic Tools and Principles, University of Luxembourg
1. Introduction, Ensembles and Basic Laws Codes
2. Transforms and Stieltjes method
3. Free probability theory
4. Deterministic equivalents