Investigating practical deployment of square loop frequency selective surfaces in the indoor wireless environment
Bibliographic record
Abstract
Summary form only given. Recent years have seen a surge in the popularity of indoor wireless systems, driven by technological progress and the advantages they provide over wired networks. Radio frequency interference is an important issue in indoor wireless systems where the transmitters and receivers are in close physical proximity to each other. Accordingly, techniques which can mitigate against the effect of interference are required. Some research has been done on the use of Frequency Selective Surfaces (FSSs) as a possible cost effective method for mitigating interference in indoor environments (G. Sung et. al., IEEE Ant. Prop. Mag., Vol. 48, 29-37, 2006). Physical features within the indoor environment can have significant effects on radio wave propagation (E. Lai et. al., IEEE Int. Symp. Ant. Prop., 1-4, 2008) (A. Austin et. al., IEEE Int. Symp. Ant. Prop., 1-4, 2009) (J. T. P. Yiin, M. J. Neve, and K. W. Sowerby, “Propagation Modeling for Indoor Wireless Systems Using the Electric Field Integral Equation,” in Proc. IEEE APS/URSI Int. Symp., (Toronto, Canada), July 11-17 2010). Frequency selective surfaces are often fabricated as thin sheets to be supported by a substrate-most likely on building walls and partitions. The electromagnetic properties of the substrate, supports, wall structure and the office environment itself can have significant impact on FSS performance. Typical FSS designs consist of periodically repeating conductive elements which are usually assumed to be of infinite extent. This assumption may not be appropriate for real deployments where there are practical limits on the size and configuration of the FSS to be deployed. These limitations must be considered when designing FSS solutions for improving wireless system performances in indoor environments. This research work is investigating possible practical deployments of the square loop FSS within indoor wireless environments. The influence of underlying wall structures is considered, together with the effects of finite FSS dimensions. The problems are modelled in Microwave Studio using the time-domain transient solver. The results will be presented from an electromagnetic perspective, with emphasis on the field interaction with and energy propagating through the FSS at different frequencies.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".