Vectored transmission for digital subscriber line systems
By G. Ginis, John M. Cioffi. IEEE J. Sel. Areas Commun., 2002
439 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/211dbf36378848261dd36c587d76b1fc994ec08d
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In Electrical and Electronic Engineering
- Wei Yu
- D. P. Palomar
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- Zhi-Quan Tom Luo
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- Christian B. Peel
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Citations in the corpus
- Performance of digital subscriber line spectrum optimization algorithms (2008, neutral): “Recent activities in standardization show that the translation of the technique to a DSL context [6] is not straightforward [8, 11].”
- Optimal multiuser spectrum balancing for digital subscriber lines (2006, background): “Whilst crosstalk cancellation is a commonly proposed solution [1], [2], in many scenarios, this may not be feasible due to complexity issues or as a result of unbundling.”
- A vector-perturbation technique for near-capacity multiantenna multiuser communication-part II: perturbation (2005, methodology): “QR-based algorithms have been used for crosstalk cancellation in digital subscriber lines [19] and for CDMA transmission to distributed receivers [6].”
- The geometric mean decomposition (2005, methodology): “As a realization of Costa’s prediction, in [ 3 ]t he authors applied the so-called Tomlinson–Harashima precodes to convert (4 )i ntoK decoupled parallel subchannels:”
- MIMO Transceiver Design via Majorization Theory (2007, background): “Modeling a DSL system as a MIMO channel presents many advantages with respect to treating each twisted pair independently [47, 63].”
- Transmit beamforming for physical-layer multicasting (2006, background): “These so-called vectoring techniques rely on transmit precoding and/or multiuser detection to provide reliable communication at very high transmission rates [5].”
- Joint transceiver design for MIMO communications using geometric mean decomposition (2005, methodology): “We also introduce the more recent ZFDP applied to the MIMO broadcast channels [25], [26].”
- Sum capacity of Gaussian vector broadcast channels (2004, methodology): “In a separate effort, Ginis and Cioffi [22] demonstrated a precoding technique for an broadcast channel based on a QR decomposition of the channel matrix.”