Energy Management Analysis and Enhancement in IEEE 802.16e WirelessMAN
Bibliographic record
Abstract
One strategy for energy management is an indispensable component in the emerging IEEE 802.16e wireless metropolitan area networks (WirelessMAN) supporting mobility. An efficient energy saving mechanism is the basis for the guarantee of a long operating lifetime for a mobile subscriber station (MSS), because MSSs are normally powered by rechargeable batteries. In this paper, we will characterize and model the energy-saving scheme in the IEEE 802.16e WirelessMAN. A comprehensive analysis is performed to study the specified sleep mode with generalized traffic processes. The performance metrics are derived with respect to energy consumption and packet delay to evaluate the tradeoff in the energy management strategy. We then propose an enhanced scheme to offer favorable performance tradeoff by adaptively adjusting the sleep windows. The numerical result indicates that the new policy can significantly reduce power consumption. Simulation results are presented to validate the analytical model, which provides potential guidelines for the efficient management of limited energy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".