Research Project Title
Enhanced Equalization and Decoding for EDGE, 3G and Beyond

Principal Investigators
Andrew Singer
Ralf Koetter
Christoforos Hadjicostis

Unit #15
Project Overview

In this project, Professors Singer, Koetter, and Hadjicostis will supervise three students to investigate problems in equalization and decoding with a focus on wireless communications as applicable to 3G and future data-enhanced systems, such as those envisioned for EDGE and other GSM evolutions. One student has investigated the application of the Bi-directional Arbitrated Decision-feedback (BAD) equalization algorithm to 3G-type systems. This work has been reported in a Master's thesis and will continue through this year investigating both the BAD algorithm as well as turbo-linear equalization as applicable to wireless systems. Another student is investigating coding for time-varying channels, which is an important extension of the turbo-equalization principle to practical communication setups. A third student is studying the application of iterative demodulation and equalization techniques in a multi-antenna scenario. In particular, connections to space-time codes and iterative estimation techniques are investigated.

The project is conducted in close conduct between members of the EDGE and 3G group, meeting with Brian Classon and Joe Nowack regularly.