3TU course on MIMO Wireless Communication

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3TU course on MIMO Wireless Communication
Jean-Paul Linnartz September 2006
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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.

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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

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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)

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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

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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

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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

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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?

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Software Defined Radio1 day by Kees Slump

• software defined radio
• Radio system design
• Analog design
• AD conversion
• digital processor architecture
• Mapping of algorithms

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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

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RF imperfections 1 Day by Peter Baltus Tim
Schenk)

• Why the design by dummy does not work ?
• DSP compensation techniques, dirty RF

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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.
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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)
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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.

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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.

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Experimenting with a MIMO test bed

• Experiments
• AIO presentations

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• END