Secrecy and Resilience in Next-Gen Wi-Fi: Exploring a Multi-User Down-Link Non-Orthogonal Transmission Framework
Bibliographic record
Abstract
Next-generation Wi-Fi communication necessitates improved spectral efficiency, low latency, expanded coverage, robustness, and enhanced communication security. A major challenge in current and future Wi-Fi communication is preventing eavesdroppers from intercepting live transmissions and ensuring enhanced communication secrecy. The non-orthogonal multiple access (NOMA) scheme has emerged as a potential candidate for future Wi-Fi communication. This is attributed to its notable characteristic of serving multiple users simultaneously on the same time/frequency resources. In this work, my motivation is to propose a novel NOMA transmission scheme that can serve multiple users without any information leakage to an internal or external eavesdropper. My proposed NOMA transmission scheme utilizes physical layer security (PHY) and is less complex, more efficient, and more robust than the conventional power domain NOMA (PD-NOMA) transmission. PD-NOMA suffers from various drawbacks, such as the use of successive interference cancellation (SIC), which demands power sharing among users and has a high probability of information leakage
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".