Significantly reducing the number of frequency channels required for wireless mesh networks using beamforming
Bibliographic record
Abstract
In a classical multi-radio multi-channel Wireless Mesh Network (WMN) architecture, mesh nodes use omni-directional antennas. Due to the circular radiation pattern of such antennas, when a mesh node communicates with its neighbor on a certain frequency channel, other mesh nodes within its range must remain silent. Directional antennas have been proposed as a way to improve spatial reuse. Since these antennas are non-steerable, they are not suitable for a dynamic WMN. In this paper, we address the problem of co-channel interference in a dynamic WMN environment by using beamforming based on utilizing the multiple omni-directional antennas of a multi-radio mesh node in the form of a linear antenna array. Our novel Linear Array Beamforming-based Channel Assignment method reduces the number of frequency channels required (NCR) for interference-free communication among the mesh nodes. It significantly outperforms the classical omni-directional antenna pattern-based channel assignment approach in terms of NCR for all node-degrees.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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".