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ARRANGEMENT OF STANDARD STRUCTURES FOR TILING THE PLANE FOR FREQUENCY AND AREA PLANNING OF IEEE 802.11 NETWORKS

2021· article· W7162011366 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRadio Engineering and Telecommunication System · 2021
Typearticle
Language
FieldComputer Science
TopicCybersecurity and Information Systems
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsTask (project management)Lattice (music)Topology (electrical circuits)Channel (broadcasting)PlanarPlan (archaeology)Plane (geometry)Symmetry (geometry)

Abstract

fetched live from OpenAlex

The problem of frequency and area planning arises quite regularly in designing wireless access networks. It can have a geometric interpretation in regard to the task of tiling the plane. Since the number of channels for each particular frequency planning is different depending on task requirements then the following can vary: shape of typical tiling structures (unit cells in terms of crystallography), their composition, organizing and procedure of tiling the plane, i.e., lattice type. Arrangement of unit cells makes it possible to propose the model that estimates the mutual influence between access points in distributed network and, thus, to draw a conclusion about applicability of chosen frequency plan for original task solution. This research paper examines standard structures for tiling the plane, defines planar lattices that conform to translational symmetry of such structures, and it proposes a method to taking into account the mutual influence between access points both within the structure and across the tiling plane. Since it is necessary to develop such a frequency plan that it would ensure most heavy filling of the plane with AP coverage areas, the maximum possible distance of cells in the same channel from each other, the maximum possible distance of cells of adjacent channels from each other and possible usage of all available frequency channels for the task, and then arrangement of standard structures of tiling (unit cells in terms of crystallography) should be done as part of the task. This research is dedicated to this problem. We do not intend to prove strictly mathematically unicity of all the proposed solutions. The research paper proposes geometrically sound approach to plane tiling by arranging plane tiling that is convenient in regard to specific features of IEEE 802.11 space distributed networks.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.234
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it