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Record W4400679067 · doi:10.1109/ojcas.2024.3427693

A Companding Technique to Reduce Peak-to-Average Ratio in Discrete Multitone Wireline Receivers

2024· article· en· W4400679067 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Open Journal of Circuits and Systems · 2024
Typearticle
Languageen
FieldEngineering
TopicPAPR reduction in OFDM
Canadian institutionsHuawei Technologies (Canada)University of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCompandingWirelineComputer scienceTransmitterElectronic engineeringReduction (mathematics)Modulation (music)Digital subscriber lineClipping (morphology)Signal-to-noise ratio (imaging)SIGNAL (programming language)Orthogonal frequency-division multiplexingWirelessTelecommunicationsChannel (broadcasting)EngineeringAcousticsMathematics

Abstract

fetched live from OpenAlex

Multicarrier modulation, while providing a theoretical pathway to data rates approaching the Shannon limit and being extensively utilized in wireless communication, has encountered limited application in high-speed wireline communication. This limitation is primarily due to substantial large amplitude peaks, which necessitates a reduction in the signal’s power levels to circumvent signal clipping. This, in turn, results in a low signal-to-noise ratio (SNR) which puts these modulations at a serious disadvantage compared to conventional modulation schemes. This work proposes a novel companding solution in the design of the Continuous Time Linear Equalizer (CTLE) alongside nonlinear blocks to reduce Peak to Average Power Ratio (PAPR), therefore improving the overall link performance. This paper presents a PAPR reduction technique and its implementation in the receiver, distinguishing it from previous studies that place the compander at the transmitter where it fails to work in the presence of an Inter-Symbol Interference (ISI) channel. A theoretical study as well as an implementation of this method is provided, and the merits and performance improvements are demonstrated.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.308
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it