Downlink mixed-traffic scheduling with packet division multiplexing
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
With the tremendous growth in the wireless communications industry, wireless networks are envisioned to provide always-on, seamless and ubiquitous wireless data services with different Quality of Service (QoS) requirements to a large number of users using a mix of real-time and non-real-time multimedia traffic. In this paper, we propose an Adaptive Cross Layer (physical, MAC and application) Scheduling with Flow and User Multiplexing (ACLS-FUM) scheduling policy and quantify the considerable QoS performance gains in terms of user throughput, user latency, user packet drop probability and user jitter in a mixed traffic environment. Improvements from increased packing efficiency and time slot availability achieved with packet division multiplexing (PDM) (which permits the base station (BS) to service multiple users in the same physical encoder packet in a single time slot) are presented.
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