Integrating UMTS and Mobile Ad Hoc Networks
Bibliographic record
Abstract
Although cellular networks such as GPRS (2.5G) or UMTS (3G) have achieved both circuit switching and packet switching services with wide area coverage, they still fall short of meeting the high data rate demands of mobile users. Integrating cellular network with other high-speed and low-cost wireless technologies is a key challenge for migrating to 4G. The IEEE 802.11 technology that has been well-developed and widely used in local area networks seems to be a proper choice for fulfilling users' expectations in hotspots. Its ad hoc mode of operation allows mobiles users to achieve connectivity with low infrastructure support. This paper proposes a design to achieve the internetworking between 802.11 mobile ad hoc network (MANET) and UMTS. The key approach in our design is to model inter-system handover as inter-SGSN handover, and connect gateway in the ad hoc network with the GGSN
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".