Achievable Rate of RIS-Assisted Short-Packet Communication with Receive Diversity: A Random Matrix Theory Analysis
Bibliographic record
Abstract
This paper investigates the average achievable rate of reconfigurable intelligent surface (RIS) assisted point-to-point short-packet communication with multiple-antenna reception. First, using a random matrix theory based approach, closed-form upper bounds for the system’s average achievable rate are obtained for two asymptotic regimes: high and low transmit powers. Detailed performance analysis and insights based on the rate metric are provided. Then, a metric for quantifying the potential deterministic behavior of the system’s channels, specifically in the short-packet regime under consideration, is proposed. The hardening is studied, and key insights are provided, including the impact of the finite blocklength on the average achievable rate of the system, particularly for small numbers of receive antennas and in the high transmit power regime. The practical application of the hardening metric from a system design viewpoint is also discussed.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".