Comparison of Relay and Reconfigurable Intelligent Surfaces for Millimeter-Wave Communication Systems
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
New generation wireless communication technologies require a higher data rates day by day. Since low frequencies are mostly in use, it is necessary to go to higher frequencies in order to reach the required bandwidth. High frequencies are more affected by path losses than lower frequencies, therefore it becomes logical to use systems that increase signal strength at the receiver, such as amplify and forward (AF), decode and forward (DF), and reconfigurable intelligent surfaces (RIS). Considering all this information, relay and reconfigurable intelligent surfaces are compared for 28 GHz band which is experimental models are made, frequently used in literature, and mostly standardised. By comparing the bit error rate and energy consumption, it is investigated which systems would be more efficient to use under which scenarios, and the results were supported by simulations.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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