Energy Efficient Power and Flow Control in Millimeter Wave Backhaul Heterogeneous Networks
Bibliographic record
Abstract
In this paper, we investigate the joint effect of optimizing power allocation and backhaul links flow assignment within the backhaul network on the energy efficiency (EE) of a millimeter wave backhaul heterogeneous network (HetNet). We consider enforcing a strict throughput demand on all user equipment(UEs), called joint EE, power, and flow control (JEEPF), versus allowing an acceptable range of demands for each, called joint EE, power, flow control, and throughput (JEEPFT). This little change causes a drastic difference in the formulations of both problems. JEEPF is convex while JEEPFT is quasiconvex, for which we propose a bisection method based approach. Our simulation results show the superiority of JEEPFT over JEEPF and other simple benchmark schemes.
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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".