A-cell: a novel multi-hop architecture for 4G and 4G+ 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
In this paper, we envision wireless multi-hopping as a complementary technology to conventional cellular networks. Hybrid wireless networks consisting of mobile base stations are expected to play a vital role in enhancing future cellular communications. However, numerous challenges pertaining to the wireless network and the user equipment are yet to be addressed. We herein utilize multi-hop relaying as overlay architecture for single-hop TDD W-CDMA cellular networks. In our proposed architecture, namely ad hoc-cellular (a-cell) relay, the inherently high node density in cellular networks is used to reduce power consumption, and enhance coverage and throughput. A-cell increases spatial reuse via directive antennas and GPS. We derive an analytical model for a-cell based on multi-dimensional Markov chains. The model is then used to formulate a-cell call blocking. To the author's best knowledge, this is the first time that directive antennas are used as a means to reduce interference, conserve energy and enhance spatial reuse in a multi-hop TDD W-CDMA wireless network.
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 | 0.001 | 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