Single frequency broadcast system performance in a power-controlled CDMA cellular network
Bibliographic record
Abstract
This paper presents interference analysis of a single frequency broadcast system (SFBS) in a power-controlled CDMA cellular network which operates in a low frequency band (LFB) for the reverse link and a high frequency band (HFB) for the forward link. Common to all forms of power control is the equalization of received power or received signal-to-interference ratio (SIR) at both the base station (BS) and portable (PT) disregarding the induced power distribution through the rest of the communication cell. As a result, an SFBS which operates in either the LFB or the HFB and is located somewhere inside the cell, may not benefit from power control, and is therefore susceptible to the "near-far" effects. Our emphasis is on dealing with the interference received at an SFBS receiver and on demonstrating the susceptibility of the SFBS receiver to the "near-far" problem in the LFB and the HFB. Both intracell and intercell interference scenarios are considered, with distance dependent and lognormal shadowing models adopted for propagation path loss. The end products are the cumulative distribution functions (CDFs) of the interference power received at the SFBS receiver in the LFB and the HFB for a PT uniformly distributed in a circular cell. These expressions are analytic for the distance dependent propagation model but require numerical integration when the lognormal shadowing model is introduced, and contribute toward the evaluation of outage probabilities of the SFBS receiver under various propagation conditions and location considerations.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".