ELEC70045 Advanced Communication Theory
Lecturer(s): Prof Athanassios Manikas
You will learn about advanced cutting edge topics in communications which are important for current and future (5G and beyond) multi-antenna wireless communication systems. Topics include: Principles of Diversity Theory, SIMO, MISO and MIMO Array Antenna communications, Array Receivers for SIMO and MIMO, Extended System Architectures and Localisation of Wireless Signals.
By the end of this module, you will be able to: 1. Design and analyse optimum receivers based on “decision theory”; 2. Evaluate the performance of M-ary matched filter receivers; 3. Model, design and analyse diversity systems using optimum diversity theory; 4. Solve the following three generic problems: “detection”, “estimation” and “reception” problems and design suitable processors to implement these solutions; 5. Utilise array signal processing theory to model and analyse multi-antenna SIMO, MISO, MIMO and massive systems; 6. Model, design and analyse mmwave and space-time communications.
1. INTRODUCTORY CONCEPTS: Modelling of information sources, communication channels and sinks. Parametric and non-parametric multi-antenna models. Multi-antenna definitions dof priori and posterior probabilities in relation to the model of a communication channel. MAP criterion, likelihood functions and likelihood ratio. Basic SISO, SIMO, MISO and MIMO comm system architectures. Structure of the Array Manifold vector. Common symbols and notation. 2. PRINCIPLES OF DIVERSITY THEORY: Definitions, diversity combining rules, classification of diversity systems and examples. Emphasis is given on multipath diversity. 3. SIMO, MISO & MIMO ANTENNA ARRAY COMMUNICATIONS: multi-antenna wireless channel analysis, space selectivity, scattering function, impulse response, single-path and multipath SIMO/MISO/MIMO, multipath clustering, virtual MIMO antenna array systems. 4. ARRAY RECEIVERS for SIMO & MIMO: Description of the theory for solving the following three general problems A. Detection Problem (detecting multiple transmitters transmitting simultaneously at the same frequency band), B. Channel Estimation Problem (multi-parameter channel estimators of the desired user/source - including Directions of Arrival, powers, cross-correlations etc. for both frequency selective and frequency flat channels), C. Reception Problem Emphasis will be given to the concepts of antenna array pattern and beamformers (space and spatiotemporal beamformers), optimum receivers (including multipaths, angular spread, doppler spread and fading). performance criteria (outage probability, SNIR output, capacity). 5. EXTENDED SYSTEM ARCHITECTURES: systems with increased degrees of freedom - Massive Systems (maMI, maSi, maMISO), mmWave Communications, Spatiotemporal Wireless Communications, 5G+. 6. LOCALISATION OF WIRELESS SIGNALS: Classification of localisation systems and architectures, localisation algorithms (TOA, TDOA, RSSI, DOA-localisation, LAA, Hybrid localisation, fingerprinting), localisation sources of errors
Exam Duration: 3:00hrs
Coursework contribution: 60%
Closed or Open Book (end of year exam): Closed
To be announced
Oral Exam Required (as final assessment): N/A
Prerequisite module(s): None required
Course Homepage: http://skynet.ee.ic.ac.uk/notes/notes.html