Scalability and performance analysis of IEEE 802.11a
Bibliographic record
Abstract
Wireless LAN (WLAN) has become the most talked about technology in last decade. Using radio frequency (RF) technology, WLANs transmit and receive data over the air, through walls, ceilings and even cement structures, without wired cabling. The IEEE 802.11 specification is a wireless LAN standard developed by the IEEE in order to specify an "over the air" interface between a wireless client and a base station or access point, as well as among wireless clients. The legacy standard specifies a 2.4 GHz operating frequency using frequency hopping or direct sequence spread spectrum modulation with initial data rates of 1 or 2 Mbps. But, later revisions have used modulation techniques like orthogonal frequency division multiplexing (OFDM) and complementary code keying (CCK) and increased the data rate tremendously. Recently, IEEE 802.11g is providing data rates up to 54 Mbps. This paper presents the performance and scalability analysis of IEEE 802.11a standard in terms of several chosen parameters
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".