Introduction
Bibliographic record
Abstract
This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book discusses the fundamental principles of Intelligent Reconfigurable Surfaces (IRS)-aided communications and provides an analysis on the near-field region, wherein the channel modelling and phase shift design problems differ from those in the far-field. It explores the potential of deploying IRSs in merging non-terrestrial networks (NTNs). The book highlights how IRSs can be integrated in NTN to enable a typical mobile handset to directly communicate with satellites. It provides an overview of the general hardware architecture of IRS that opened a new platform to dynamically manipulate electromagnetic waves. The book explores channel modelling frameworks for facilitating a thorough and accurate evaluation of the system performance of IRS-aided communications operating in the millimetre wave and sub-6 GHz bands. It investigates the significant role that IRS will play in fifth-generation and sixth-generation wireless 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 | 0.000 | 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) | 0.087 | 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".