Energy and spectral efficiency in cellular networks considering fading, path loss, and interference
Bibliographic record
Abstract
Due to the increase of energy consumption in wireless systems, energy-efficient cellular planning concept has become an important concern in designing cellular networks. In this paper, energy efficiency (EE) and spectral efficiency (SE) analysis for single and multi-cell cellular systems are presented and investigated. The efficiency analysis is studied under the influence of Nakagami-m multi-path fading superimposed on path loss, and co-channel interference for three base station (BS) antenna configurations which are omni, and 120o and 60o directive antennas. The downlink SE and EE are derived and simulated concerning the random users' location, normalized reuse distance, cell radius, and random channel gain. Theoretical and simulation results show that, as expected, single cell scenario provides higher efficiency than multi cell; however, antenna directivity improves both efficiency metrics. The analysis provides insight contribution for the SE-EE trade-off issue in cellular networks for which most of the network and propagation parameters are included in the analysis.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".