ELEC97004 (EE4-01) Advanced Communication Theory
Lecturer(s): Prof Athanassios Manikas
To present several advanced cutting edge topics which are important for current and future (5G and beyond) multi-antenna wireless communication systems.
To 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 analyse multi-antenna SIMO, MISO, MIMO and massive systems
6) solve the "localisation" problem of wireless signal/sources.
7) model, design and analyse mmwave and space-time communications
Advanced Communication Theory
1. INTRODUCTORY CONCEPTS:
1(a). Modelling of information sources, communication channels and sinks. Definitions of priori and posterior probabilities in relation to the model of a communication channel. MAP criterion, likelihood functions and likelihood ratio. An initial study on the performance of a digital communication system and expansion to spread spectrum and spatiotemporal wireless systems
1(b). Revisiting Decision and Detection Theory: Detection criteria. Receiver Operating Characteristics (ROC). Detection of known signals in the presence of white noise and the concept of an optimum receiver. Correlation receivers. Matched filter receivers and their mathematical analysis. Extension to non-white noise. Orthogonal signals and the "approximation theorem". M-ary signals and signal constellation. Basic concepts and analysis of orthogonal and biorthogonal M-ary communication systems. 64-ary Walsh-Hadamard signal set.
2. PRINCIPLES OF DIVERSITY THEORY:
2(a). Generic Diversity System Architecture, Diversity Combining Rules, SNRout, Classification of Diversity Techniques and Examples
2(b). Multipath Diversity: RAKE and types of RAKE receiver, multipath diversity in CDMA (optimum single-user, optimum multi-user and sub-optimal multi-user receiver architectures), multipath diversity in 3G specifications.
3. SIMO, MISO and MIMO MULTI-ANTENNA WIRELESS COMMUNICATIONS:
Space-Selective Fading, Scattering Function, Wavenumber Spectrum and Angle Spectrum, Types (and examples) of Angle Spectrum, Correspondence between Frequency, Time & Space Parameters, the Concept of the "Local Area", Transmitter and Receiver Antenna Array, Array Response Vector and Impulse Response of vector channels, Reciprocity Theorem and Transmit Diversity (Open-loop, Close-loop and UMTS 4GPP standard), Capacity (general expressions) and equivalence between MIMO and SIMO/MISO using the concept of the �virtual� antenna array.
4. ARRAY RECEIVERS for SIMO and MIMO:
4(a). Detection Problem: Detecting multiple transmitters transmitting simultaneously at the same frequency band.
4(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.
4(c). Reception Problem, Array Pattern and Beamformers: Space and spatiotemporal beamformers and optimum receivers (including multipaths, angular spread, doppler spread and fading).
4(d). SNIRout, Outage probability, Cramer-Rao Lower bound, Detection and resolution thresholds.
5. LOCALISATION of WIRELESS SOURCES/SIGNALS:
Localisation Based Services, Localisation in Cellular Networks, Classification of Localisation Systems/Architectures, Localisation Algorithms (TOA-Loc, TDOA-Loc, RSSI-Loc, DOA-Loc, LAA-Loc, Hybrid-Loc and Fingerprinting-Loc). Localisation sources of errors, localisation in WSNs.
6. MASSIVE SYSTEMS:
maMI, maSi, maMISO, what and why, BS antenna geometries, advantages and challenges.
7. mmWAVE COMMUNICATIONS:
Spectrum, mmWave Communications versus LTE 6GHz, mmWave-MIMO (Main Characteristics, advantages and challenges), Chipsets, Digital mmWave Beamformers, Analogue mmWave Beamformers, Hybrid mmWave Beamformer. Comparisons
8. SPATIOTEMPORAL WIRELESS COMMUNICATIONS:
� Introduction: Decoupled Space & Time Receivers, Spatiotemporal Wireless Approaches, Spatiotemporal Manifolds (Extended Manifolds), Generic-Receiver Spatiotemporal Structure, 3D-data Cube, Family of Spatiotemporal Manifold Receivers, the "Shifting Matrix",
� Spatiotemporal Channel Estimation, Main Properties of STAR subspace-type Receivers:
� Reception Problem (Spatiotemporal Beamforming), Space and Spatiotemporal Array Pattern, Spatiotemporal Channel Capacity
� Spatiotemporal Representative Examples
9. 3GPP, LONG TERM EVOLUTION (LTE) and LTE Advanced:
Key-parameters, Frequency range, FDD, TDD, Modulation schemes, multiple access, MIMO technology, Data-Rates, channel mapping, types of Resource Allocation.
5G: High Capacity Requirements, Expanding Connectivity Needs, Multi-connectivity Across Bands and Technologies, Diverse Spectrum Types and Bands, New Unified Air Interface, Triangle Diagram, Multi-antenna technology (Beamforming).
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