Improved OFDMA uplink transmission<i>via</i>cooperative relaying in the presence of frequency offsets—Part I: Ergodic information rate analysis
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
Abstract In this two‐part paper, we evaluate ergodic and outage information rates in an orthogonal frequency‐division multiple access (OFDMA) uplink with amplify‐and‐forward (AF) and decode‐and‐forward (DF) relays in the presence of frequency offsets. Each node plays the roles of the source node and the relay, simultaneously, but on different subcarriers. In Part I, the ergodic information rate is derived, and in Part II, the outage information rate of the considered scheme is derived. For a given frequency offset, unlike that of the AF mode, the DF ergodic information rate does not monotonically increase with α (the ratio between the power allocated to the source node and the total transmit power), and 0 < α < 1 can be optimised to maximise the ergodic information rate. Numerical results show that AF cooperation does not outperform the conventional transmission (without relaying) with regard to ergodic information rate. In contrast, with DF relaying, performance gains are possible. Copyright © 2009 John Wiley & Sons, Ltd.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| 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