Design Criteria for Omnidirectional STBC in Massive MIMO Systems
Bibliographic record
Abstract
In this letter, we study the design criteria for omnidirectional space time block codes (STBCs) in downlink massive multiple-input multiple-output (MIMO) systems. To this end, we first derive a tighter upper bound on the average error probability and then use it to formulate two design criteria, namely the rank criterion and the sum determinant criterion (SDC). The rank criterion is similar to that for conventional MIMO, but it is obtained here by invoking the new upper bound for massive MIMO. The SDC is more accurate than its conventional MIMO counterpart since it takes into account the sum of the determinants of the codeword difference matrices, as opposed to the minimum of these determinants. In addition, the SDC provides a useful metric for the performance comparison and design of STBCs. The effectiveness of the proposed SDC for omnidirectional STBC is validated by simulations for massive MIMO systems.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".