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Transmitter Optimization for Noisy ISI Channels in the Presence of Crosstalk Naofal AlDhahir \Lambda , Senior Member IEEE
 

Summary: Transmitter Optimization for Noisy ISI Channels in the Presence of Crosstalk
Naofal Al­Dhahir \Lambda , Senior Member IEEE
Abstract
Transmitter optimization techniques for maximizing the throughput of linear ISI channels impaired by additive--Gaussian noise
and crosstalk are presented. Transmitter ends of both single carrier and multicarrier transceiver structures are optimized subject to
a fixed average input energy constraint. The effect of transmitter optimization on channel throughput is quantified by comparison
with scenarios where both the desired user and the crosstalker use a flat energy distribution across the transmission bandwidth.
I. Introduction
Limited bandwidth resources in many spectrally--efficient digital communications systems often result in having multiple
users, who typically have the same transmission power spectral density characteristics, share the same frequency band and
thus interfere with each other. Among the scenarios where this interference is performance limiting is crosstalk (both
near--end and far--end) in the emerging high--speed digital subscriber line (DSL) systems [5, 1].
Effective signal processing techniques are implemented at the receiver to mitigate crosstalk such as decision­feedback
equalization (DFE) in single--carrier modulation systems [1] or FFT processing in multicarrier modulation systems [5]. Full
optimization of a communication system entails optimizing both the receiver and transmitter ends where the second task
requires optimizing the transmission bandwidth and the power spectral density shape of the input signal. While transmitter
optimization for multicarrier systems on noisy ISI channels with crosstalk has received considerable attention recently [6, 4],
this has not been the case for single--carrier systems where published studies either assume no crosstalk (see [6, 3] and the
references therein) or an infinite--length transmit filter as in [8]. In addition, previous transmitter optimization studies for
multicarrier systems are for the Discrete Multitone (DMT) implementation where channel spectrum partitioning is effected

  

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

 

Collections: Engineering