Adaptive Joint Interference Cancellation and Space-Time Block Decoding for IEEE 802.11b WLAN Systems
Bibliographic record
Abstract
Digital transmission in wireless local area networks (WLANs) according to the IEEE 802.11b standard suffers from fading, intersymbol interference (ISI), and co–channel interference (CCI). In this paper, receivers with joint interference cancellation and time–reversal space–time block decoding (JICSTD) are proposed for an enhanced version of the IEEE 802.11b WLAN standard with space–time coded transmission. In IEEE 802.11b, complementary code keying (CCK) with a maximum data rate of 11 Mbit/s is employed as modulation format. The proposed receivers perform JICSTD in a first stage and equalization in a second stage. Minimum mean–squared error (MMSE–) JICSTD presuming perfect channel knowledge for all users and a training based least–squares (LS–) JICSTD for asynchronous interference are investigated, respectively. For subsequent equalization block–based reduced–state sequence estimation (RSSE) tailored for CCK transmission is used. 1
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".