Network-Coded Cooperation With Outdated CSI
Bibliographic record
Abstract
The impact of outdated channel state information (CSI) on the performance of multiple-source, multiple-relay network-coded cooperation (NCC) with relay selection (RS) is investigated. In RS-based NCC, K relays are selected (from M cooperative relays). Each of these will decode N > 1 sources' messages, uses a non-binary network coding based on maximum distance separable codes to form a network-coded packet, and forwards it to the destination. We derive the exact outage probability and simple and accurate outage approximations (asymptotics) at high signal-to-noise ratio. We show that the full diversity gain of d = M + 1 is only achieved when K ≥ N and CSI are perfect. Outdated CSI, however, degrades the system performance, and the asymptotic diversity gain is always equal to d = K + 1. We also give simulation results to validate the theoretical study.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.001 |
| 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".