Increasing the spectral efficiency in microcell hotspots using M-ary CDMA: capacity analysis and simulation results
Bibliographic record
Abstract
We consider a single "hotspot" microcell where many wireless CDMA users transmit data concurrently using power control. As opposed to traditionally considered binary CDMA transmission or conventional M-ary CDMA, we explore the potential benefits of using generalized M-ary spreading codes. We compute the symmetric sum capacity when single-user detection and decoding are used at the receiver (base station) and observe that the use of appropriate M-ary CDMA can lead to more than threefold increase in transmission rates. It turns out that even using one extra CDMA chip level (i.e., zero) can potentially improve the aggregate data throughput in a microcell by 20-50 percent. Using the insights from this analysis, we generate pseudo-random M-ary spreading codes and explore turbo coded architecture for corresponding M-ary CDMA transmission. Simulation results indicate that the proposed system can support up to 60 to 70 users at bit error rates of 10/sup -4/, with a power control error of up to 1 dB at SNR's encountered in traditional microcells.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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".