Trellis coded modulation design for multi-user systems on AWGN channels
Bibliographic record
Abstract
Trellis coded multiple access (TCMA) is a multiple access scheme where different users in a multiuser system employ different trellis coded modulation (TCM) schemes as the only means of separation. The superposition of individual signals can be considered to be a super trellis coded modulation (super TCM) scheme, which is the combination of individual TCM schemes. In this paper, first we propose some design rules for individual TCM schemes which produce a super TCM scheme that performs well on an AWGN channel. For simplicity, we further constrain that all users have the same coding scheme. The only difference among them is their individual constellations. Then we provide a design procedure for these individual constellations. This paper also includes some examples which show the design procedure. Finally, we compare several TCMA systems by their performance analysis and simulation results.
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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".