Rate Optimization for Hybrid SC-FDE/OFDM Decode-and-Forward MIMO Relay Systems
Bibliographic record
Abstract
In this paper, we consider the rate-optimal transceiver design for a hybrid single-carrier frequency-domain equalization and orthogonal frequency-division multiplexing decode-and-forward (DF) multiple-input-multiple-output (MIMO) relay system. Such hybrid systems can provide a high end-to-end bit rate and a low peak-to-average power ratio at one of the transmitting nodes. Assuming minimum mean-squared-error equalization at the receiving nodes, we optimize the transmit precoding matrices for maximization of the achievable bit rate (ABR) of the system subject to a joint node transmit power constraint. We provide a unified solution for the precoding matrices, which subsumes the solutions for pure single-carrier and pure multicarrier MIMO DF relay systems as special cases. Specifically, the optimal structure of the precoding matrices is obtained by exploiting the relation between our design and conventional point-to-point MIMO transceiver designs. With the optimal precoding structure, the optimization problem reduces to a convex power allocation problem, for which an efficient closed-form solution is derived. Numerical results are provided to confirm the excellent ABR performance of the proposed relaying schemes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 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".