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About Multiuser Communications

Many communications systems, such as cellular mobile radio and wireless local area networks, are subject to multiple-access interference, caused by a multitude of users sharing a common transmission medium. The performance of receiver systems in such cases can be greatly improved by the application of joint detection and decoding methods. Multiuser detection and decoding not only improves system reliability and capacity, it also simplifies the problem of resource allocation.

This 1-day short course provides the tools for the design and analysis of joint detection and joint decoding methods. These methods are developed within a unified framework of linear multiple-access channels, which includes code-division multiple-access, multiple antenna channels and orthogonal frequency division multiple access.

Emphasis is placed on practical implementation aspects and modern iterative processing techniques for systems both with, and without integrated error control coding.

Prerequisites

Essential: Digital communications, Estimation and Detection;
Preferable: Linear algebra, Information theory, Modern error control coding (e.g. turbo codes);

Course Topics

• Introduction: Multiple Access Channels; Transmitter and Receiver Cooperation;
• Linear Multiple Access Channels: Continuous Time Model; Discrete Time Model; Matrix Representation; Principles of Detection; Access Strategies; Modulation Sequence Design;
• Multiuser Information Theory: Probabilistic Channel Model; Capacity Region; Binary Input Channels; Gaussian Channels (including CDMA); Multiple Access Codes; Superposition and Layering; Feedback; Asynchronous Channels;
• Multiuser Detection: Optimal Detection; Correlation Detection; Decorrelation; Linear Minimum Mean Squared Error Detection; Whitening Filters;
• Implementation of Multiuser Detectors: Iterative Filter Implementations; Parallel Interference Cancellation; Serial Cancellation; Gradient Based Methods; Tree Search Methods;
• Multiuser Decoding: Iterative Decoding; Interference Cancellation; LMMSE Filtering; Variance Transfer Analysis; Unequal Rates and Powers;

For further information please contact:
Anne-Marie Eliseo
Industry Education Manager
phone: +61-8-8302-3928
email: industryeducation@nicta.com.au