OP Analysis of Alamouti/MRC NOMA System with SDR-Based Real-Time Implementation
Bibliographic record
Abstract
Motivated by the great potential of multi-antenna, multi-user non-orthogonal multiple access (NOMA) systems for 5G+, this paper presents an outage probability (OP) analysis of a down-link multi-user NOMA network with Alamoutilmaximum ratio combining (AlamoutiIMRC) antenna diversity. Herein, a base station using Alamouti coding simultaneously serves mul-tiple users with MRC. We derive the exact and asymptotic OP expressions for users over the Rayleigh fading channel. In addition, we also constitute a software-defined radio-based three-users 2x2 AlamoutiIMRC test-bed to investigate the feasibility of the considered network in a real-time manner. Finally, the analytical expressions are verified through the test-bed results and the Monte Carlo simulations.
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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".