MMSE based turbo equalization for chip space-time block coded downlink CDMA
Why this work is in the frame
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Bibliographic record
Abstract
Space-time (ST) block coding based transmit diversity is included in the 3G mobile telecommunication specification for CDMA downlink transmission. On the other hand, turbo (iterative) equalization can be used in channel coded broadband wireless systems to enhance the performance. Hence, in this paper, we develop a linear MMSE-based turbo equalization scheme for downlink ST block coded CDMA to achieve high capacity gains over multipath fading channels. The proposed unified CDMA system model considers both conventional and block spreading. However, block spreading is more desirable as confirmed by the simulation results. Both ST encoding and ST decoding are performed at the chip-block level. Turbo equalization is performed after ST decoding. Furthermore, we also consider computationally-efficient implementations of the proposed turbo equalization scheme. Simulation results demonstrate that high performance can be achieved using the proposed iterative equalizer
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it