Performance analysis of <i>α</i> − <i>μ</i> distributed MIMO wireless links using coherent terahertz technology
Bibliographic record
Abstract
Coherent terahertz (THz) communications are characterized by high frequency, large bandwidth, and low energy consumption and can maintain high transmission performance even in complex environments. However, THz wave propagation in the atmosphere is subject to significant attenuation and interference, affecting its coherent transmission performance in complex transmission environments. In this study, a coherent terahertz communication framework is established by employing a multiple-input multiple-output (MIMO) configuration to overcome the limitations of a single-input single-output system. A model is used to solve the non-line-of-sight problem of the communication link, and an expression for the signal-to-noise ratio (SNR) at the receiving terminal using the air-detection method is derived. The channel model is constructed, and a α − μ turbulence model is introduced to derive the probability density function of the SNR for the composite α − μ turbulence model by combining the static attenuation and random attenuation suffered by THz waves. Subsequently, the SNR expressions for coherent THz communication systems with maximum ratio combining (MRC) and equal gain combining (EGC) diversity are derived. The bit error rate (BER) expressions for the two diversity techniques are computed using multilevel pulse modulation and multilevel differential pulse position modulation. Finally, the outage probability under the two diversity techniques is computed using the moment generating function, and the results obtained are verified by Monte Carlo simulation. The effects of modulation parameters ( M ), number of channels ( L ), communication distance ( d ), and beam width ω z / r on BER performance are quantitatively analyzed under both MRC and EGC. Additionally, the outage probablity (OP) performance for both techniques is assessed. The results show that for the same parameter settings, the BER performance is positively correlated with the OP. The performance indicators of the studied coherent THz system provide guidance for future THz communication research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".