Analytical Modeling of Active/Sleep Mode in Noncontinuously Deployed Small Base Stations for mmWave HetNets in 5G and Beyond
Bibliographic record
Abstract
Millimeter-wave (mmWave) small base stations (SBSs) enhance indoor 5G heterogeneous network by delivering high-speed wireless access and offloading macro base station (MBS) traffic. Due to the limited range of mmWave signals, dense yet often noncontinuous SBS deployments are required, leading to energy inefficiencies—especially during low-traffic periods—because of high-power consumption. To address this, traffic-aware sleep strategies dynamically switch SBSs between active and sleep modes. However, most analytical models assume continuous coverage, limiting their real-world applicability. This article proposes an analytical model tailored to noncontinuous mmWave SBS deployments, evaluating three metrics: 1) the proportion of SBSs in sleep mode; 2) the traffic offloading ratio; and 3) the frequency of discovery broadcasts during sleep. Simulation results validate the model under varying deployment and traffic scenarios, demonstrating its value in supporting energy-efficient design for indoor 5G networks.
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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 | 0.001 | 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".