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3TU course on MIMO Wireless Communication

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Title: 3TU course on MIMO Wireless Communication


1
3TU course on MIMO Wireless Communication
Jean-Paul Linnartz September 2006
2
About the contents of the course
  • MIMO is an important trend that shapes the future
    of wireless communication systems
  • MIMO is a multidisciplinary topic
  • MIMO is being addressed in Delft, Eindhoven and
    Twente.

3
Capita Selecta in Wireless Communication
  • This course covers selected topics in Wireless
    Communications, including RF, information theory
    and software radio architectures. Yet the topics
    are not a random collection of faculty hobby
    horses, but are seen as important factors that
    push the limits of future systems
  • One-chip radio, i.e., combining RF and BB into
    one chip solution, requires an new multi
    disciplinary approach to mitigating the
    imperfections of analog (CMOS) circuits by
    digital signal processing.
  • To achieve an adequate link budget for high
    frequency, multi gigabit, adaptive combination of
    multiple antenna signals is required.
  • There are power-consumption limits to pushing to
    A/D Converter further to the antenna. High-rate
    MIMO signals would pose unacceptably high demands
    on power hungry A/D converters, unless signals
    are optimally preconditioned before digitization.
  • The ever increasing density of using the radio
    spectrum call for signal separation, interference
    cancellation and beam-steering. DSP algorithms
    can push performance and the insights from
    information theory increasing set the stage for
    innovation.
  • More intelligent spectrum access techniques
    (cognitive radio) require flexible processor
    platforms, adaptive front-ends, and new adaptive
    algorithm

4
Multiple antennas have the future
  • Standardizing committees see the tremendous BB
    DSP opportunities from multiple antennas
  • Spectrum scarcity pushes this for lt 5 GHz (signal
    separation)
  • Bit rate (link budget Eb/N0) pushes this for gt 60
    GHz (beamsteering)

5
Organisation
  • Offered in the context of 3TU
  • Centered around IOP project MIMO for a Mass
    Market
  • Contributions from the 3TUs and Philips Research
  • Open for
  • PhD students of 3TU
  • People involved in the MIMO4aMM project
  • Others (masters) students, 3TU and Philips
    employees admission required
  • External people admission and possibly
    participation fee

6
3TU Grad Course in Wireless Systems
  • Venue rotating between Eindhoven, Twente, Delft
  • Once every other week, 6 times(12 weeks)
  • Tentative dates March 29-30, April 12-13, April
    26-27 (CRE at HTC), May 10-11 (may vacation?),
    May 14-15, June 7-8, June 21-22
  • 6 lecture hours per day
  • discussions to apply knowledge in a MIMO4aMM
    project focus
  • Credit points tbd with EE Dept. at E,T,D
  • Thursday and Friday

7
3TU Grad Course in Wireless Systems
  • Outline
  • Radio Propagation (1 Day, Jean-Paul Linnartz)
  • RF Design (1 Day, Peter Baltus)
  • RF imperfections, Adaptive and Dirty RF (1 day,
    Peter Baltus and Tim Schenk)
  • Adaptive systems (2 days, Jan Bergmans)
  • Signal Processing for Communications (2 days,
    Allejan van der Veen)
  • Modulation and ECC for MIMO channels (Harm
    Cronie)
  • Software Defined Radio (1 day, Kees Slump)
  • Information theory for fading channels (Frans
    willems)
  • MIMO testbed event, papers by AIOs

8
Radio Wave propagation1 Day by Jean-Paul Linnartz
  • Deterministic propagation models
  • Statistical models and fading channels
  • Rayleigh and ricean fading
  • Correlation of amplitudes in time and frequency
  • The MIMO channel
  • How do wireless systems handle channel
    imperfections?

9
Software Defined Radio1 day by Kees Slump
  • software defined radio
  • Radio system design
  • Analog design
  • AD conversion
  • digital processor architecture
  • Mapping of algorithms

10
RF design (RF for dummies ?)1 day by Peter Baltus
  • How to design a state-of-art MIMO RF frontend
  • TX and RX architectures
  • RF specifications and system design (I)
  • RF specifications and system design (II)
  • LNA circuit topologies and design
  • Mixer circuit topologies and design
  • Oscillator circuit topologies and design
  • RF and IF filter topologies and design
  • Transceiver implementation examples

11
RF imperfections 1 Day by Peter Baltus Tim
Schenk)
  • Why the design by dummy does not work ?
  • DSP compensation techniques, dirty RF

12
Adaptive systems 2 Days by Jan Bergmans
  • 1. Introduction. Examples of adaptive systems.
  • 2. Design of adaptive signal processing systems.
  • - Structure of adaptation schemes
  • - Adaptive circuits, misadjustment estimators,
  • adjustment circuits.
  • 3. Maximum-likelihood parameter estimation and
    adaptation
  • - Maximum-likelihood parameter estimation,
  • - Gradient-based least-squares estimation and
  • compensation,
  • - Worked examples adaptive linear and table
    look-up
  • filters, phase-locked loops, timing recovery.

4. Tracking behavior of adaptation loops. -
Parameter-domain loop models, - Behavior of
first-order loops, - Behavior of second-order
loops, - Multi-parameter adaptation,
simple regularization techniques. 5.
Implementation of adaptation loops
algorithmic simplifications, impact of loop
delays and analog artifacts. 6. Adaptive
equalization and detection a. Asynchronous
adaptation b. near-minimum-BER adaptation.
13
Signal Processing for Communications2 Days by
Allejan van der Veen
  • Techniques for signal separation and parameter
    estimation, using arrays of sensors, and applied
    to wireless communications.
  • We start by deriving a signal processing model of
    the wireless channel. We then recall useful tools
    from linear algebra QR, SVD, eigenvalue
    decompositions, projections. This gives us tools
    to discuss some more elementary receivers the
    matched filter, the Wiener filter.
  • Finally we discuss important applications
    estimation of angles and delays using ESPRIT,
    adaptive space-time filters, the constant modulus
    algorithm.

Day 1 1. Introduction to wireless communication
and array processing 2. Wireless channel model
(Jakes model translated to matrices) 3. Linear
algebra background (QR, SVD, eigenvalue
decomposition) 4. OFDM and CDMA data models Day
2 5. Channel equalization and spatial processing
techniques (matched filters, Wiener
filters) 6. Parameter estimation (MVDR, MUSIC,
direction estimation, delay estimation,
ESPRIT) 7. Adaptive filtering (LMS, RLS, CMA)
14
Information theory of fading channels1 day by
Frans Willems
  • A) Multi-user Informatietheorie (total 4
    uur)
  • a) Typical sequences
  • b) Shannons Channel Coding Thm., Source
    Coding Thm., Rate-Distortion Thm.
  • c) Slepian-Wolf coding
  • d) Superposition Coding and the Broadcast
    Channel
  • e) Multiple-access Channel
  • f) Relay Channel
  • B) Capacity of Wireless Channels (4 uur)
  • a) Capacity SISO AWGN Channel
  • b) Waterfilling, freq. selective channels
  • c) Channel state information at transmitter
    and/or receiver
  • d) Rayleigh Fading, Average and Outage
    capacity
  • e) Capacity MIMO AWGN Channel
  • f) Writing on Dirty paper.

15
Modulation and ECC for MIMO channels1 or ½ day
by Harm Cronie
  • Signaling techniques and detection for MIMO
  • Uncoded transmission with ML detection, ZF
    filtering, MMSE filtering.
  • VBLAST, DBLAST.
  • The Alamouti Space-Time code.
  • Error-control coding for MIMO
  • In general bit-interleaved coded modulation and
    multi-level coding.
  • Sparse graph codes (simple intro to turbo codes
    and ldpc codes)
  • Iterative MIMO receivers (iterate between
    detector, channel estimator, synchronizer and
    code)
  • Analysis and Design with EXIT charts/Density
    evolution.

16
Experimenting with a MIMO test bed
  • Experiments
  • AIO presentations

17
  • END
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