Relay-Aided Energy and Information Transmission in mmWave Massive MIMO Systems
Bibliographic record
Abstract
This paper analyzes the performance of a relay- aided millimeter wave (mmWave) massive multiple- input multiple-output (MIMO) system, where the source node needs to harvest energy from the hybrid relay before transmitting its data. A comprehensive MIMO channel model is first developed, where rainfall effects, path loss and small-scale fading are all considered; which properly models the signal propagation on all links of the system. The expression of the asymptotic harvested energy is derived, and then used to assess the asymptotic spectral efficiency and system throughput for various important scenarios. Further, the optimal value of the harvesting time that maximizes throughput is investigated. In particular, it is shown that in operating conditions with light rain, the asymptotic spectral efficiency and throughput increase logarithmically with the number of relay antennas, and that both metrics decrease exponentially with the rain parameters.
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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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".