Weighted Sum-Rate Optimization for Rate and Reach Enhancement in G.fast

Rainer Strobel; Andreas Barthelme; Wolfgang Utschick

doi:10.1109/GLOCOM.2017.8254976

Weighted Sum-Rate Optimization for Rate and Reach Enhancement in G.fast

Rainer Strobel
, Andreas Barthelme
, Wolfgang Utschick

Chair of Signal Processing

Intel Deutschland GmbH
Technical University of Munich

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Digital subscriber line technologies such as G.fast face strong crosstalk between different twisted pair copper wires on higher frequencies. With crosstalk cancellation and interference management techniques, the performance is optimized with respect to high crosstalk. Maximum sum-rate is a widely used objective for groups of multiple subscribers, but does not reflect the subscriber demands and may lead to a high spread of data rates. This paper presents an approach to utilize weighted sumrate optimization to improve data rates for a subset of subscribers with higher demand, resulting in a longer reach for a certain data rate while using free resources from other subscribers. Results for linear and non-linear zero-forcing precoding as well as a gradient approach for linear MMSE precoding are investigated.

Original language	English
Pages (from-to)	1-6
Number of pages	6
Journal	Proceedings - IEEE Global Communications Conference, GLOBECOM
Volume	2018-January
DOIs	https://doi.org/10.1109/GLOCOM.2017.8254976
State	Published - 2017
Event	2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore Duration: 4 Dec 2017 → 8 Dec 2017

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title = "Weighted Sum-Rate Optimization for Rate and Reach Enhancement in G.fast",

abstract = "Digital subscriber line technologies such as G.fast face strong crosstalk between different twisted pair copper wires on higher frequencies. With crosstalk cancellation and interference management techniques, the performance is optimized with respect to high crosstalk. Maximum sum-rate is a widely used objective for groups of multiple subscribers, but does not reflect the subscriber demands and may lead to a high spread of data rates. This paper presents an approach to utilize weighted sumrate optimization to improve data rates for a subset of subscribers with higher demand, resulting in a longer reach for a certain data rate while using free resources from other subscribers. Results for linear and non-linear zero-forcing precoding as well as a gradient approach for linear MMSE precoding are investigated.",

author = "Rainer Strobel and Andreas Barthelme and Wolfgang Utschick",

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AU - Strobel, Rainer

AU - Barthelme, Andreas

AU - Utschick, Wolfgang

PY - 2017

Y1 - 2017

N2 - Digital subscriber line technologies such as G.fast face strong crosstalk between different twisted pair copper wires on higher frequencies. With crosstalk cancellation and interference management techniques, the performance is optimized with respect to high crosstalk. Maximum sum-rate is a widely used objective for groups of multiple subscribers, but does not reflect the subscriber demands and may lead to a high spread of data rates. This paper presents an approach to utilize weighted sumrate optimization to improve data rates for a subset of subscribers with higher demand, resulting in a longer reach for a certain data rate while using free resources from other subscribers. Results for linear and non-linear zero-forcing precoding as well as a gradient approach for linear MMSE precoding are investigated.

AB - Digital subscriber line technologies such as G.fast face strong crosstalk between different twisted pair copper wires on higher frequencies. With crosstalk cancellation and interference management techniques, the performance is optimized with respect to high crosstalk. Maximum sum-rate is a widely used objective for groups of multiple subscribers, but does not reflect the subscriber demands and may lead to a high spread of data rates. This paper presents an approach to utilize weighted sumrate optimization to improve data rates for a subset of subscribers with higher demand, resulting in a longer reach for a certain data rate while using free resources from other subscribers. Results for linear and non-linear zero-forcing precoding as well as a gradient approach for linear MMSE precoding are investigated.

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DO - 10.1109/GLOCOM.2017.8254976

M3 - Conference article

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VL - 2018-January

SP - 1

EP - 6

JO - Proceedings - IEEE Global Communications Conference, GLOBECOM

JF - Proceedings - IEEE Global Communications Conference, GLOBECOM

T2 - 2017 IEEE Global Communications Conference, GLOBECOM 2017

Y2 - 4 December 2017 through 8 December 2017

ER -

Weighted Sum-Rate Optimization for Rate and Reach Enhancement in G.fast

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