A null space constraint based block Tomlinson-Harashima precoding technique for the multi-user MIMO downlink
Bibliographic record
Abstract
A null space constraint based block Tomlinson-Harashima preceding technique (NS-BTHP technique) is proposed for the downlink of multi-user MIMO systems. Employing non-linear pre-processing at the base station this technique pre-eliminates multi-user interference (MUI) among different mobiles. Therefore, an equivalent point-to-point MlMO channel is realized for each mobile, and the spatial interference among the multiple data streams directed to each user (self-interference) can be eliminated using signal processing algorithms developed for point-to-point MlMO systems. The proposed nonlinear preceding approach results in an improvement of the null space constraint technique (NS technique), in which linear pre-processing is used to pre-eliminate the MUI at the base station. The advantage of the NS-BTHP technique over the NS technique is explained and demonstrated by 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".