2018
DOI: 10.1109/access.2018.2871026
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Approximate Perturbation Aided Lattice Encoding (APPLE) for G.fast and Beyond

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Cited by 5 publications
(13 citation statements)
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“…This is also known in wireline communications as static spectrum balancing (SSB, as opposed to DSB) since there is no optimization involved. In fact, it is shown in [42] that the two TxPSD characterization methods have a simple geometric relationship in the signal space. Meanwhile, scalar power assignment can also significantly reduce the complexity of spectrum balancing, in which case practical seamless rate adaptation (SRA) techniques [118] may be efficiently invoked.…”
Section: B Linear Precoding 1) Plain Zero Forcingmentioning
confidence: 99%
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“…This is also known in wireline communications as static spectrum balancing (SSB, as opposed to DSB) since there is no optimization involved. In fact, it is shown in [42] that the two TxPSD characterization methods have a simple geometric relationship in the signal space. Meanwhile, scalar power assignment can also significantly reduce the complexity of spectrum balancing, in which case practical seamless rate adaptation (SRA) techniques [118] may be efficiently invoked.…”
Section: B Linear Precoding 1) Plain Zero Forcingmentioning
confidence: 99%
“…With respect to the MUP design for downstream DSL, it is known from (9)(19) and Fig. 4 that the SNR penalty is the dominant problem over the wide bandwidth of G.mgfast (also in [42], [161]) compared to the losses discussed in Sec. III-C3.…”
Section: ) the Essence Of Vectoring And The Dualitymentioning
confidence: 99%
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