Adaptation des taux et des puissances de transmission pour \nles schémas IncrementaI Redundancy HARQ tronqués.
Bibliographic record
Abstract
C'est en aveu du succès de ce mémoire que mes sincères mercis se vouent à mon directeur de recherche Prof. Leszek Szczecinski, professeur à l'INRS-EMT, pour sa serviabilité, ses compétences et ses directives fructueuses qu'il n'a cessé de me prodiguer tout au long de ce mémoire.Je tiens également à présenter mes sincères remerciements à Prof. Fabrice Labeau, mon co-superviseur et professeur à McGill, pour sa collaboration, son soutien et ses conseils pertinents durant nos réunions.J'adresse aussi ma profonde gratitude à tous mes amis, à ma famille et particulièrement à ma chère mère, mon cher père, mes deux frères Ahmed et Anes et à Hichem Garbouj qui ont été toujours présents pour moi contribuant ainsi à la réussite de ce mémoire.Finalement, je remercie mes collègues à l'INRS, Mohamed Jabi, Rabî Meftehi et Achref Methenni, que j'ai côtoyés au quotidien pendant ces deux dernières années, pour leur aide, leurs remarques, et leurs conseils qui ont été pour moi d'un grand apport. Imene Ben Salem Leszek SzczecinskiListe des acronymes -3GPP 3 rd Generation Partnership Project -ACK Acknowledgement -AMC Adaptative Modulation and Coding -ARQ Automatic Repeat reQuest -AWGN Additive White Gaussian Noise -CC Chase Combining -CRC Cyclique Redundancy Check -CSI Channel State Information -CSIR Channel State Information at the Receiver -CSIT Channel State Information at the Transmitter -dB décibel -DP Dynamic Programming -EDGE Enhanced Data Rates for GSM Evolution -FEC Forward Error Correction -FSMC Finite-State Markov Channel -GPRS General Packet Radio Service -HARQ Hybrid Automatic Repeat reQuest -IEEE Institute of Electrical and Electronics Engineers -IR Incremental Redundancy -LTE Long Term Evolution -MAC Medium Access Control -NACK Negative Acknowledgement -OSI Open Systems Interconnection -QoS Quality of Service -RCPC Rate-Compatible Punctured Convolutional codes -SNR Signal-to-Noise Ratio VI -Tep Transmission Control Protocol -TDMA Time Division Multiple Access -WiMAX Worldwide Interoperability for Microwave Access vii
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.012 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".