Joint Bandwidth Allocation and Connection Admission Control for Polling Services in IEEE 802.16 Broadband Wireless Networks
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
Although the medium access control (MAC) protocol and the physical layer are well defined in IEEE 802.16 standard, bandwidth allocation (BA) and connection admission control (CAC) remain as open research issues. In this paper, we present a joint adaptive bandwidth allocation and connection admission control method for real-time and non-real-time polling services in the IEEE 802.16-based broadband wireless networks which use adaptaive modulation and coding at the physical layer. This method is based on an optimization-based approach where the in-connection (i.e., packet-level) performances (i.e., delay and transmission rate for real-time and non-real-time polling services, respectively) are used as cost functions and decision criteria for allocating bandwidth and for accepting or blocking a new connection, respectively. A queueing model is used to analyze transmission delay and transmission rate under adaptive modulation and coding. Binary integer programming is used to obtain the solutions for the optimization formulation. Typical performance results demonstrate the superiority of the proposed scheme over traditional static and adaptive band-width allocation schemes.
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