Analysis of Wi-Fi Networks Evolution During the First Quarter of the 21st Century
Bibliographic record
Abstract
Relevance. Wireless data transmission technology based on the IEEE 802.11 standard currently occupies a key place in wireless access networks. Since its introduction in 1997, it has undergone 28 years of active technological evolution. WiMAX, which existed since 2001, has virtually disappeared due to the development of LTE, while Bluetooth, which appeared in 1999, continues to evolve. Both technologies had the potential to replace Wi-Fi. WiMAX was initially intended to fill the gap between slow cellular networks and Wi-Fi, offering a compromise between mobility and speed. Bluetooth found its niche in the M2M segment. Today, we are seeing the rollout of the IEEE 802.11be amendment to the market, and the first results from the IEEE working group on the upcoming IEEE 802.11bn update. Over the years, standard has seen significant improvements across all layers of the protocol stack, and there is reason to expect that the new amendment will be, in some sense, technologically revolutionary. The aim of this work is to identify patterns in the technological evolution of the IEEE 802.11 standard over the past period of development. Methods . Analysis of professional and scientific literature, standards texts, and industry practices. Speaking about its objective , this paper presents an overview of the key improvements made to the standard over the years past and examines the main areas of its current development. The focus is on the cyclical nature of the technological evolution of the IEEE 802.11 standard. Its novelty lies in identifying and describing the patterns of the standard's development and its practical application. Its theoretical significance lies in the analysis of protocol development trends within the technology's evolution. It also demonstrates that the adoption of new additions to the IEEE 802.11 standard is cyclical, combining revolutionary breakthroughs with evolutionary changes. Practical significance : The obtained results can be used to analyze and forecast further evolutionary changes in the technology in light of the expected transition to the eighth generation of the standard.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".