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Record W4390590880 · doi:10.1109/tvt.2023.3348272

UAV-Relayed Finite-Blocklength Covert Communication With Channel Estimation

2024· article· en· W4390590880 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

VenueIEEE Transactions on Vehicular Technology · 2024
Typearticle
Languageen
FieldEngineering
TopicWireless Communication Security Techniques
Canadian institutionsWestern University
FundersNational Natural Science Foundation of China
KeywordsCovertTransmission (telecommunications)TransmitterChannel (broadcasting)RelayTransmitter power outputComputer sciencePower (physics)Real-time computingAlgorithmComputer networkTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

Unmanned aerial vehicle (UAV) mounted relays can provide effective solutions to extend the coverage of covert communications. Nevertheless, ignoring the covertness during channel estimation may lead to the failure of air-ground covert transmission. In this correspondence, a UAV-relayed long-distance covert communication scheme is proposed with the pilot design under finite blocklength. The warden adopts either independent or joint detection schemes to detect the covert transmission. We first calculate the optimal detection threshold and derive the covertness constraints at the warden. Then, the transmit power of the transmitter and UAV relay under these two detection schemes is optimized, respectively. Finally, the optimal blocklength of the pilot and data transmission is obtained by the one-dimensional search. Numerical results show the tradeoff of the two detection schemes and indicate the optimal blocklength allocation scheme.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.221
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