Cooperative Transmission with Continuous Phase Frequency Shift Keying and Phase-Forward Relays
Bibliographic record
Abstract
We propose in the paper the concept of phase forward (PF) as a possible relay strategy for cooperative communication involving CPFSK modulation in a "fast" fading environment. The technique enables the relay nodes to maintain constant envelop signaling without the need to perform decoding and signal regeneration. To further reduce complexity, we adopt noncoherent discriminator detection at the destination node. A semianalytical expression for the bit error probability (BEP) of this phase forward non-coherent CPFSK cooperative transmission scheme is derived in the paper. The analysis is general in the sense that it can accommodate different Doppler frequencies and signal-to-noise ratios in the various links. It was found that PF can provide a strong diversity effect, especially when the signal-to-noise ratio in the source-relay link is substantially stronger than those in the source-destination and the relay-destination links. Furthermore, from a BEP stand point, phase forward is better than conventional decode-and-forward (DF) under typical channel conditions. It can also attain the same performance as amplify-and-forward (AF) when fading is static. Finally, we found that the concept of PF applies equally well to PSK modulations.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".