Dynamic resource allocation for delay-tolerant services in downlink OFDM wireless cellular systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The paper develops a framework for relating system performance to a user scheduling mechanism in downlink OFDM mobile cellular systems for delay-tolerant traffic. The performance of dynamic resource allocation techniques using best user (BU) and round robin (RR) strategies for user scheduling, and best sub-carrier assignment with power constraint and interference learning (BSA-PC-IL), is evaluated in terms of the fraction of satisfied users and system spectral efficiency (in kbps/MHz/cell). Simulation results indicate that in a low-mobility, single-cell environment, RR performs better than BU. However, in a high-mobility environment, BU significantly outperforms RR for both single-cell and multi-cell mobile systems. In a slow-mobility, multi-cell environment, BU has a slightly better performance than RR. In general, the BU scheme has a much slower degradation rate in the fraction of satisfied users at increased system loads than the RR scheme.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it