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Record W2026477107 · doi:10.1109/ccece.2010.5575235

The impact of narrowband interference on the performance of UWB systems in the IEEE802.15.3a channel models

2010· article· en· W2026477107 on OpenAlex
Ehab M. Shaheen, M. El-Tanany

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
TopicUltra-Wideband Communications Technology
Canadian institutionsCarleton University
Fundersnot available
KeywordsNarrowbandInterference (communication)Channel (broadcasting)Adjacent-channel interferenceCo-channel interferenceElectronic engineeringComputer scienceTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Ultra wideband (UWB) is considered to be one of the most promising short range wireless communication technologies; due to its high data rate, low cost and low energy consumption. Despite its enviable benefits, the performance of UWB systems may be degraded due to the presence of inband narrow band interference (NBI) signals and this performance must be carefully investigated. To this end; we provide a simple theoretical analysis to the bit error rate performance of the Rake reception of the UWB signal in the presence of NBI signal in the IEEE802.15.3a UWB channel models. The NBI signal is modeled as the standard IEEE802.11a, which is approximated as the sum of “N” tone interferers. We show that our analysis is coincident with the simulation results.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.216

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 science0.0010.000
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 head0.018
GPT teacher head0.232
Teacher spread0.214 · 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

Citations12
Published2010
Admission routes1
Has abstractyes

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