Capacity estimates for mixed-rate traffic on the integrated wireless access network
Bibliographic record
Abstract
The integrated wireless access network provides for simultaneous transmission of speech, data, and video signals on a shared spectrum basis. All services employ the same chip rate and rate differences manifest themselves in variations on the resulting processing gain and/or transmitted power. The capacity of the system to carry stream traffic is estimated as a function of system bandwidth, source data rate and path loss exponent. Both stream and packet traffic capacities are of interest, however, the focus is on the stream traffic, both low rate and high rate sources, some constant rate and some variable rate. The bandwidth efficiency, defined as the number of simultaneous calls per cell or sector per MHz of bandwidth, is found to increase due to improved multiplexing gains as well as due to better averaging of the multiuser interference. On the downlink there is an additional source of multiplexing due to the addition of the powers transmitted to different portables, subject to a maximum total transmitted power constraint. The results suggest that aggregating contiguous blocks of available spectrum increases the capacity, bandwidth efficiency and peak service rate at the cost of the added complexity of transmission at higher chip rates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".