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Record W2898291753 · doi:10.1145/3267129.3267145

Interference Comparison between OFDM & FH-OFDM Systems

2018· article· en· W2898291753 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPAPR reduction in OFDM
Canadian institutionsConcordia University
Fundersnot available
KeywordsOrthogonal frequency-division multiplexingAdditive white Gaussian noiseElectronic engineeringComputer scienceMultipath propagationFadingInterference (communication)Bit error rateMultipath interferenceSpectral efficiencyChannel (broadcasting)Adjacent-channel interferenceTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Orthogonal Frequency Division Multiplexing (OFDM) is a common modulation technique that is being used in many of modern wireless communications and standards due to its excellent spectral efficiency and immunity to multipath interference in fading channel. In this paper, a Frequency Hopping Orthogonal Frequency Division Multiplexing (FH-OFDM) system is proposed to enhance the performance of conventional OFDM systems in multiuser interference. Based on simulation results, the Bit Error Rate (BER) performance of the proposed FH-OFDM system is shown to be superior to that of the conventional OFDM system under conditions of multiuser interference and Additive White Gaussian Noise (AWGN) channel.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.004

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 head0.060
GPT teacher head0.302
Teacher spread0.241 · 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

Quick stats

Citations3
Published2018
Admission routes1
Has abstractyes

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