Reliable and fast restoration for a survivable wireless-optical broadband access network
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
Integration of wireless and optical access technologies for the Internet access seems as a promising solution to reduce the cost of deploying fiber to the premises. Wireless Optical Broadband Access Network (WOBAN) combines wireless mesh and optical communication technologies at the front and the back ends of the Internet access, respectively. Survivable design of both ends of WOBAN occurs as an important problem for the network operators. In this paper, we propose a restoration framework for WOBAN which is inherited from a previously proposed architecture. Our proposed scheme attempts to select optimum number of protection clusters for the WDM-PON segments at the back-end of WOBAN considering the optimum deployment of the fibers between the backup ONUs so that the restored traffic propagates with the minimum delay. Optimization results show that our proposed scheme leads to shorter fiber deployment between the ONUs which enables the failed traffic to propagate faster to the feeder fiber. Moreover, taking the advantage of the ring protection also provides the proposed scheme to cover the whole traffic in a failure-impacted WDM-PON segment.
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