Cooperative diversity using message passing in wireless sensor networks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cooperative diversity schemes have been introduced in earlier works to achieve diversity in a block fading channel. However, most of these schemes ignore the quality of the source-relay (S-R) channel in the decoding process, even though it is this channel that limits the performance of cooperation schemes. This paper introduces a simple yet robust scheme for cooperative diversity based on message passing in the decoding process, which accounts for the quality of the S-R channel. In our scheme, the relay decodes the source symbols and forms parity bits, which are in turn used by the destination (D) to decode the source message. By accounting for the reliability of the parity bits, performance measures, such as bit error rate, are not limited by the S-R channel quality and improve with increasing signal-to-noise ratio on the S-D and R-D channels. With our scheme, feedback signals to the source node are not required, with only simple decoding and encoding required at the relay.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.003 |
| 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 it