Multi-clock pipelined design of an IEEE 802.11a physical layer transmitter
Bibliographic record
Abstract
Among different wireless LAN technologies 802.11a has recently become popular due to its high throughput, large system capacity, and relatively long range. In this paper, we propose a reconfigurable architecture for the 802.11a physical layer transmitter, which has low la-tency and low power consumption due to its pipelined structure. Data from the MAC layer can continuously flow through the pipeline without excessive buffering and handshaking within the physical layer. Dynami-cally reconfiguring this architecture to work at any data rate supported by 802.11a (eight different modes) can be performed within a few cycles, simply by adjusting the period of two clock signals and changing the value of a 3-bit control signal. Our architecture, prototyped on a Xilinx Virtex-II Pro FPGA, occupies the area of 2059 slices and is estimated to consume 500 mW. These figures can be improved substantially in custom ASIC implementations. 1.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".