Filtered multitone modulation for VDSL

Cherubini, Giovanni; Eleftheriou, Evangelos; Olcer, S.

doi:10.1109/glocom.1999.829951

Cited by 76 publications

(37 citation statements)

References 6 publications

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“…Specifically, and since we assume independent users (6) where P i and R uiui are, respectively, the transmit filter matrix and the autocorrelation function of user i. This technique will outperform the time division multiplexing from information rate view point.…”

Section: B Multi-dimensional Signalingmentioning

confidence: 99%

“…We model the problem of the multiple loops as a MIMO channel problem. The authors cannot emphasize enough that even though the problem formulation as a filter bank, [6], [7], [8], looks similar to the known multi-dimensional modulation used in wireless communications, there are many fundamental differences between wireless and wireline problems. First the wireline channels are linear-timeinvariant (LTI).…”

Section: Introductionmentioning

confidence: 99%

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Throughput maximizing FIR filterbank for MIMO LTI wireline channels

Shalash

Nafie

2004

2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577)

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Abstract-There is an ever growing need for higher speed communications over existing wireline plant. To achieve even higher throughput, bonding and joint optimization of multiple-input-multiple-output cable bundles attracted attention recently. In this paper we first explain a technique which allows several users to use the same communication medium while at the same time allowing their transmission to be separated at the receiver. This technique would handle single-channel-multiple-users case. The technique is then extended to handle multiple input multiple output (MIMO) channel by jointly optimizing the transmit filters to maximize the throughput over the MIMO channel. This optimization is suitable for multiplechannels-single-user and multiple-channels-multiple-users cases. A 2-D MIMO channel example is given and simulation results show that the joint optimization achieves higher throughput than independent optimization for each channel.

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Section: B Multi-dimensional Signalingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Throughput maximizing FIR filterbank for MIMO LTI wireline channels

Shalash

Nafie

2004

2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577)

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“…The latest signal processing developments that enable the combination of MIMO and FBMC/OQAM are the subject of this overview paper. Many other multicarrier modulation schemes are currently under investigation: universal filtered-multicarrier (UFMC) [28], [29], generalized frequency division multiplexing (GFDM) [30]- [33], filtered multitone (FMT) [34], [35] and cyclic block filtered multitone (CB-FMT) modulation [36]. UFMC, GFDM and CB-FMT also possess the key ingredients to become the new wide band access scheme.…”

Section: Introductionmentioning

confidence: 99%

MIMO Signal Processing in Offset-QAM Based Filter Bank Multicarrier Systems

Pérez-Neira

Caus

Zakaria

et al. 2016

IEEE Trans. Signal Process.

104

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“…Filter bank-based multicarrier modulation/demodulation (MCM) finds a wide variety of applications in modern wireless and wireline communication systems [1], [2], [3], [17]. MCM systems employ multirate filter banks to form an orthogonal subchannel set to facilitate parallel transmission of bit streams for an effective utilization of the communication channel.…”

Section: Introductionmentioning

confidence: 99%

A Novel Interpolation Equalization Technique for Multicarrier Modulation/Demodulation Systems

Wang

Nowrouzian

2003

Circuits Syst Signal Process

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This paper presents a novel multitap interpolation equalization technique for filter bank-based multicarrier modulation/demodulation systems. The proposed technique is based on the equalization of the channel fractional delay in each subchannel in time synchronization with the constituent receiver side decimator. The proposed synchronization is achieved by combining a subset of the polyphase components of the analysis filter output signal after having passed through a bank of interpolation equalizers. The resulting multitap interpolation equalization permits a trade-off between various equalization parameters, such as the number of used polyphase components, the length of the equalizer, and the interchannel interference terms, making it possible to achieve a high signal-to-noise ratio (SNR) involving moderate equalization cost or a moderate SNR involving very low equalization cost. Simulation results for the standard carrier serving area loop show that the proposed equalization technique gives rise to 15 dB improvement in SNR compared to the output combiner equalization technique and can achieve an SNR close to the matched-filter bound for the channel by employing a reasonable equalizer length. Compared to the output combiner equalization technique, the proposed equalization technique involves around three times less the storage requirement at the same computational cost or around three times less the computational cost at the same storage requirement for equalizer training. Two suboptimal solutions are also proposed to simplify the equalizer training at only a minor loss in SNR.

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Filtered multitone modulation for VDSL

Cited by 76 publications

References 6 publications

Throughput maximizing FIR filterbank for MIMO LTI wireline channels

Throughput maximizing FIR filterbank for MIMO LTI wireline channels

MIMO Signal Processing in Offset-QAM Based Filter Bank Multicarrier Systems

A Novel Interpolation Equalization Technique for Multicarrier Modulation/Demodulation Systems

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