Analysis of load dependent energy efficiency of two-tier heterogeneous cellular networks
Bibliographic record
Abstract
In this paper, a tractable analytical framework for investigating the energy efficiency (EE) of a 2-tier heterogeneous cellular network consisting of macro and picocell base stations (BS) is developed. The BSs, which are randomly distributed, serve a number of users in the downlink under shared spectrum operation. By incorporating a tunable downlink power control mechanism, the successful transmission probability and the average throughput achievable in both tiers are analytically derived. Since varying load conditions has an important implication on the network performance, the EE is investigated as a function of the load level, considering the ability to transfer the load between the 2 tiers. An optimization problem that maximizes the throughput constrained 2-tier EE is formulated and solved to determine the optimal network operational parameters. In addition to providing valuable design insights, the findings reveal that, for different load conditions, it is feasible to significantly enhance the EE performance by optimally adapting the network configuration.
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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 | 0.001 |
| 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".