2006
DOI: 10.1109/jsac.2006.879383
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Multiuser margin optimization in digital subscriber line (DSL) channels

Abstract: Abstract-This paper presents efficient multiuser margin optimization algorithms suitable for multicarrier digital subscriber line (DSL) systems using Dynamic Spectrum Management (DSM). The favorable monotonicity and fairness properties of multiuser margin are employed to formulate a box-constrained nonlinear least squares (NLSQ) problem for multiuser margin maximization, which is efficiently solved by using a scaled-gradient trust-region approach with Broyden Jacobian update. Based on this NLSQ formulation, a … Show more

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Cited by 7 publications
(12 citation statements)
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“…A comparison is made against a baseline algorithm called Newton-Raphson margin estimation (NRME), published in [5]. A comparison is made against a baseline algorithm called Newton-Raphson margin estimation (NRME), published in [5].…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…A comparison is made against a baseline algorithm called Newton-Raphson margin estimation (NRME), published in [5]. A comparison is made against a baseline algorithm called Newton-Raphson margin estimation (NRME), published in [5].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…However, because DSL transceivers are restricted with respect to the transmitted power, bit rate and noise margin become conflicting requirements [5]. It works as a safety margin applied to the transmit signal, which is translated into longer distances between constellation points for improved robustness.…”
Section: Introductionmentioning
confidence: 99%
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“…If the length of the CP is equal or longer than the length of the channel impulse response minus one, then the demodulation can be implemented by means of an FFT, followed by a (complex) 1-tap frequency domain per tone equalizer (FEQ) to compensate for the channel magnitude and phase effects [5], [6]. A long CP, however, results in a large overhead with respect to the data rate [6]. The DMT block diagram is shown in Fig.…”
Section: Introductionmentioning
confidence: 99%