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Record W1963850605 · doi:10.1049/iet-com:20060639

Channel estimation for 5.9 GHz dedicated short-range communications receiver in wireless access vehicular environments

2007· article· en· W1963850605 on OpenAlex
H. Abdulhamid, Esam Abdel‐Raheem, Kemal Tepe

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

VenueIET Communications · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Techniques
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsComputer scienceWirelessRange (aeronautics)Channel (broadcasting)TelecommunicationsComputer networkEngineering

Abstract

fetched live from OpenAlex

A channel estimation scheme for the design of a 5.9 GHz dedicated short-range communications receiver for the purpose of vehicle-to-vehicle and vehicle-to-roadside communications is proposed. The receiver is based on the popular wireless local area network standard IEEE 802.11a, but with extended symbol duration. On the basis of analyses and simulations, the proposed receiver has superior design characteristics for the harsh channel conditions of wireless access vehicular environments. The performance of the proposed scheme is tested under varying velocity, signal-to-noise ratios, transmission modes, packet lengths and channel properties. The proposed design improves the overall packet error rate performance, enabling the system to achieve higher data rates and larger packet lengths at high relative velocities. Simulation results show slight improvements in the quadrature phase-shift keying transmission, whereas there is substantial improvement in the cases of 16- and 64-ary quadrature amplitude modulations compared to conventional design.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0000.001
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 head0.055
GPT teacher head0.340
Teacher spread0.285 · 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