Performance Evaluation of RIS-Assisted Full-Duplex MIMO Bidirectional Communications with a Realistic Channel Model: (Invited Paper)
Bibliographic record
Abstract
Thanks to their capability in controlling the wireless channels in a dynamic way, metamaterial-based reconfigurable intelligent surfaces (RIS) can help in providing low error rates and high data rates, as per the requirements of future wireless applications. In many of the envisioned applications, devices need to interchange data within close proximity. In this context, this paper proposes a RIS-assisted full-duplex MIMO bidirectional model for communication between multiple devices, and analyzes its performance while considering a realistic model for the communication channels, which accounts for key physical charac-teristics and impairments. The system performance is evaluated in terms of the symbol error probability, outage probability, and channel capacity, for which closed-form expressions are derived while taking into account residual hardware impairments and residual self-interference at the devices, and considering operations in both indoor and outdoor environments. The results reveal that system operations in indoor environments yield better performance as compared to outdoor scenarios, and quantify the impacts of the hardware impairments and self-interferences.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| 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 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".