Resource Sharing in an Integrated Wireless Cellular/WLAN System
Bibliographic record
Abstract
The integration of cellular networks and wireless local area networks (WLANs) aims to take advantage of the coverage-complementary characteristics of both wireless networks. For applications which require quality of service (QoS) guarantee (e.g., voice, real-time video), admission control is necessary so as to limit the number of connections in a network. A connection request will be blocked if the minimum bandwidth requirement cannot be satisfied. In this paper, we propose an integrated cellular/WLAN system with resource sharing capabilities. In this system, we analyze two admission control algorithms, namely: cutoff priority and fractional guard channel. The admission algorithms consider new connection requests, requests due to either horizontal handoff or vertical handoff. If one access network does not have enough resources to support a handoff connection request, the request will be transferred to another network. We propose an analytical model and determine the new connection blocking, handoff dropping probabilities of this integrated cellular/WLAN system. Results show that the performance improves significantly when resource sharing is allowed between different wireless access networks.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".