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Symbol Rate Optimization for the MMSEDFE on Bandlimited Dispersive Channels

Summary: Symbol Rate Optimization for the MMSE­DFE on Bandlimited
Dispersive Channels
Naofal Al­Dhahir \Lambda , Member, IEEE, and John M. Cioffi, Senior Member, IEEE
Information Systems Laboratory
Electrical Engineering Department
Stanford University, Stanford CA 94305
December 14, 1994
The problem of optimizing the transmission bandwidth of practical coded--modulation transceivers on lin­
ear time--invariant dispersive channels corrupted by additive white Gaussian noise (AWGN) and crosstalk, with
particular emphasis on digital subscriber loops, is studied in this paper. Under the assumption of a flat input
power distribution over the transmission bandwidth, four criteria for bandwidth optimization are analyzed and
compared. Our main focus will be on the ideal infinite--length minimum--mean--square error decision feedback
equalizer (MMSE--DFE), however, finite--length constraints in addition to zero--forcing and linear equalizers are
also considered. Furthermore, comparisons between the optimal bandwidth and performance of the MMSE--DFE
and a multichannel modulation (MCM) transceiver, under a variety of operating conditions, are also presented.
1 Introduction
Recent studies [1, 4, 21, 28] demonstrating the theoretical feasibility of high--speed data transmission on the current
copper loop plant have spurred increasing research efforts on devising computationally--efficient coded modulation
schemes that can achieve the highest possible performance. Two transceiver structures have emerged as the most


Source: Al-Dhahir, Naofal - Department of Electrical Engineering, University of Texas at Dallas


Collections: Engineering