RIS-Aided Communications in Indoor and Outdoor Environments: Performance Analysis With a Realistic Channel Model
Why this work is in the frame
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Bibliographic record
Abstract
Reconfigurable intelligent surfaces (RIS) hold the potential to revolutionize the wireless communications industry via the dynamic control of the wireless channels to help achieve high data rates, high spectral and energy efficiencies, and low error rates, towards meeting the advanced specifications of B5G. In this context, this paper proposes a practical channel model for RIS-aided MIMO communications which considers the effects of RIS configurations, operating environments, path loss, scattering, etc. With this comprehensive channel model, the probability density function and the cumulative distribution function of the received signal-to-noise power ratio are derived by utilizing a double generalized K distribution, and closed-form expressions for the system’s error rate, outage probability, and channel capacity, are obtained. The analysis highlights the outperforming of the RIS-aided communications in indoor environments as compared to outdoor use cases due to the presence of less scatterers in the former.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it