Bibliographic record
Abstract
Recent information theory results have indicated that a large channel capacity exists for wireless systems with multiple transmit and receive antennas. With different assumptions of channel knowledge and interference knowledge at the transmitter, the channel capacity of multiple input multiple output (MIMO) systems has been studied under both spatially white and colored interference and noise. In this paper, we fix the total interference-plus-noise power and evaluate the outage capacity under two spatially colored interference environments: (1) a few high-data-rate interferers each with high power, (2) a large number of lowdata-rate interferers each with low power. The results show that MIMO capacity is larger with fewer high-data-rate interferers. We also assess the impact of an estimated channel and/or interference on capacity. In the case of 4 transmit and 4 receive antennas for the user of interest, 10 interferers, total-interference-to-noise ratio and signal-to-noise ratio are both 20dB, the results show that it is beneficial to estimate the channel and/or interference if the variance of estimation error is less than about 50% of the variance of true channel and/or interference.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".