Efficient Power Allocation in Cooperative OFDM System with Channel Variation
Bibliographic record
Abstract
Cooperative communication is emerging as an effective approach for realizing efficient wireless networks. Performance of these networks has been shown to be enhanced significantly by dynamic resource allocation, especially in orthogonal frequency division multiplexing (OFDM) systems, where there are more degrees of freedom. On the other hand, dynamic resource allocation imposes signalling and computational overhead on the system. In this paper, a multi-relay OFDM system is considered, where the cooperation gain of distributed antenna array is exploited. First we introduce the optimal power allocation problem and discuss the signaling overhead for implementing the optimal solution. We then propose suboptimal schemes with considerably less overhead and study the conditions under which they perform close to the optimal scheme. Furthermore, we investigate how imperfect implementation of these scheme results in performance degradation. We also analyze how much feedback is needed to implement this scheme with a desirable accuracy.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".