Enhanced CDMA transmission with multiple antennas and joint power control
Bibliographic record
Abstract
We consider downlink transmission at high data rates in a multi-cellular code-division multiple-access (CDMA) network where signals are directed to a mobile station (MS) from antennas located at the same or different base stations (BSs). All antennas use different pilots and transmit data to individual MSs with specified powers when selected to do so. Two sources of error are found to degrade channel identification and performance: channel noise and channel variation due to the power control delay. First, we introduce a modified spatio-temporal array-receiver (STAR) that uses both the pilot and the data signals to reduce the channel identification error. Second, we formulate a power control algorithm for the signal powers transmitted by the participating antennas based on predicting the channel response variations over the power control interval. Significant performance gains are found to result from use of the techniques independently and collectively.
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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 | 0.000 | 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".