Spatial reuse model for mmWave frequencies in ultra dense small-cells networks
Bibliographic record
Abstract
With the exponential growth of demand in terms of traffic and data rates, one of the most promising potential features of the fifth generation (5G) of mobile network is the use of the millimeter-wave (mmWave) frequency bands. Although the available bandwidth in the mmWave frequency is significantly large, high frequencies pose several challenges in term of propagation loss, hence suitable models for these frequencies use are needed. Due to significant pathloss, the higher mmWave bands are better suited to the operation of short ranged small cells, while the lower frequency bands are appropriate for outdoors users. We propose in this paper, a spatial frequency reuse model for two-tier ultra-dense networks, where a dedicated band is allocated to inner and outer regions of macrocells and small-cells in order to properly exploit the advantages and limits of the mmWave frequencies. The performance of this scheme are evaluated both analytically in terms of coverage probability, and through system-simulation in terms of achieved throughput, and compared to traditional microwave systems and mmWave models with no reuse. We reach an average of 20% of coverage gain with more than 70% of the users having a throughput greater than 500 Mbps and nearly 40% greater than the target 1 Gbps.
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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".