Fiber–Wireless (FiWi) Networks: Technologies, Architectures, and Future Challenges
Bibliographic record
Abstract
This chapter provides a brief review of radio-over-fiber (RoF) networks, and explains their difference with regards to so- called radio-and-fiber (R F) networks. It then elaborates on enabling technologies of fiber-wireless (FiWi) networks. The chapter describes the state-of-the- art of FiWi network architectures. It also covers the techno - economic comparison of two major optical and wireless enabling FiWi technologies. Finally, the chapter discusses future challenges and imperatives of FiWi networks. The design of new FiWi network architectures is important in order to reduce their costs and increase their flexibility. The combination of an optical fiber ring and Worldwide Interoperability for Microwave Access (WiMAX) would be another interesting architecture where WiMAX SSs and WiFi STAs are able to access the network via integrated WiMAX and WiFi networks. Controlled Vocabulary Terms Optical fiber networks; optical fibers; radio-over-fibre; WiMax
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".