IRS-aided RF Communication
Bibliographic record
Abstract
The performance analysis of hard-switching based mixed free space optical (FSO)/ intelligent reflecting surface (IRS)-aided radio frequency (RF) communication system is carried out in terms of outage probability (OP). The FSO link with larger bandwidth is considered as primary link, it is active for transmission when the FSO channel condition is good enough. The RF link referred to as the back-up link is activated for transmission whenever the FSO link is poor. Further, the transmission via RF link is assisted by an IRS consisting of reflecting elements that are programmable and passive in nature. For this setup, the OP is evaluated for different numbers of reflecting elements at the IRS. In order to obtain 0:001 OP with 28 dB transmit SNR of the RF link, the required transmit SNR of the FSO link with 90 elements at the IRS in the RF link is 27 dB whereas, with 100 elements at the IRS, the required SNR is 18 dB. Thus, it has been observed that the use of 10 IRS elements can reduce the required SNR of FSO link by 9 dB while keeping the OP fixed. The impact of the IRS on the OP is significant specifically when the FSO link is weak. Further, the OP performance of hard-switching scheme based mixed IRS-aided RF/FSO system has been analyzed considering both strong and moderate atmospheric turbulences, and different link distances. (This paper has been submitted to IEEE GLOBECOM Workshop 2022 )
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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 | 0.002 | 0.004 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".