EE 381S Space-Time Communication

EE 381S Space-Time Communication

Spring 2010


Space is truly the final frontier in wireless communication systems. When leveraged correctly, the use of multiple antennas at the transmitter and / or the receiver, create a propagation channel with additional spatial degrees of freedom that can be exploited to improve the quality, capacity, and coverage – problems faced by all wireless systems. In this class you will learn the fundamentals of space-time communication from the perspective of signal processing and communication theory. The emphasis will be on MIMO (multiple-input multiple-output) communication systems where antenna arrays are used at both transmitter and receiver. The class covers the fundamentals as well as a several advanced topics and an overview of MIMO related standards.

Space-Time Communication deals broadly with MIMO communication. Topics covered include:

  • MIMO signal models and equalization
  • MIMO channel models including Rayleigh, Ricean, correlated, and models from different standards
  • Capacity of MIMO channels with different degrees of channel state information
  • Average probability of error and diversity
  • Spatial multiplexing with linear and nonlinear receivers
  • Precoding and multi-mode precoding for spatial multiplexing
  • Limited feedback precoding and codebook design
  • Space-time block codes including orthogonal, quasi-orthogonal, and rate-1
  • Multiuser MIMO communication
  • Overview of multiuser MIMO information theory
  • Practical Multiuser MIMO methods with linear and nonlinear processing
  • Multiuser limited feedback
  • Network MIMO
  • MIMO relay channels and applications of MIMO in ad hoc networks
  • Overview and application of MIMO to IEEE 802.11n
  • Overview and application of MIMO to IEEE 816.ee / WiMax
  • Overview and application of MIMO to 3GPP Long Term Evolution

Space-Time Wireless is an advanced graduate course that will cover the issues most pertinent to the design and analysis of space-time wireless communication systems.

The Spring 2010 class meets Tuesdays & Thursdays 12:30-2:00pm ENS 306.


Spring 2010

Course Information

Syllabus

Lecture Outline

Term Project Overview

Electronic Course Site

The course will be offered through Blackboard framework which includes a weekly outline, lecture notes, project details, and homework assignments. By enrolling in the class you are already signed up. Blackboard will be the site for all current documents. The documents on this page are for public distribution.

Wireless Communications at UT Austin

Some Student Project Titles from Fall 2007 Course

  • On the worst-case noise problem
  • A Cross-layer Design for Adaptive MIMO Transmission Techniques
  • Clustered MIMO Coordination Networks
  • 4×4 MIMO experiments on Hydra
  • Multiuser Beamforming with Limited Feedback in the MIMO Multicast Channel
  • On the Achievable Sum Rate of MIMO BC with Partial CSIT and User Cooperation

Some Student Projects Titles from Fall 2005 Course

  • Downlink Space Division Multiple Access with Limited Feedback – Kaibin Huang
  • Antenna Shuffling Schems for a D-STTD System over Time-Selective Fading Channels– Hoojin Lee
  • MISO Precoding for Spatial/Temporal Focusing – Bob Daniels
  • Semi-blind channel estimation for MIMO-OFDM systems- Changyoung Shin
  • Optimal Training Design for Noncoherent MIMO Communication – Daifeng Wang
  • Temporal fairness iterative waterfilling for MIMO Gaussian broadcast channels -Haewoon Nam
  • Coordinated Beamforming for Multiuser MIMO Systems with Grassmanian Codebook – Chan-Byoung Chae
  • The Impact of Channel Side Information on Rate Bounds for MIMO Relay Channels – Caleb Lo
  • A software defined implementation of a MIMO-OFDM transceiver system with complete synchronization, estimation and detection capabilities -V. Chandrasekhar and Esdras Anzoula
  • On the Transmission Capacity of MIMO Ad Hoc Wireless Networks over Fading Channels -Andrew Hunter
  • Channel Prediction for MIMO Systems – Ian Wong
  • Denoising algorithms for MIMO system – Sriram Sridhara

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