Simulations of Point-to-Point Outdoor Transmission in 95-110 GHz
Bibliographic record
Abstract
Utilization of the radio spectrum above 95 GHz is essential to meet the technical requirements and spectrum demand of future broadband communication systems. This paper addresses outdoor transmissions in 95-110 GHz over Line-of-Sight (LoS) Point-to-Point (P-P) links under various weather conditions (clear sky, 50m fog density, wet-snow (25% wetness), 35mm/h heavy-rain and 50mm/h violent-rain). An LTE testbed with up/down converters is used for video streaming at a carrier frequency of 105 GHz with an average Effective Isotropic Radiated Power (EIRP) of 68 dBm and a receiver antenna gain of 25 dBi. Streaming over 20 MHz channels has respectively supported 4K and 8K video qualities at distances around 1.7 km and 1.2 km under all studied weather conditions. Transmission of broadband signals over 2 GHz channels at 100 GHz, with an average EIRP of 55 dBm and a receiver antenna gain of 25 dBi, has supported SNR greater than 24.7 dB and a channel capacity greater than 16.4 Gbps at a communications distance of 0.5 km under all studied weather conditions. This paper also compares the performance of three carrier frequencies (105 GHz, 60 GHz and 28 GHz) under a clear sky condition. Transmission at 105 GHz has supported communication distances and channel capacities better than those at 60 GHz due to a higher atmospheric attenuation loss at the latter frequency. The large spectral bandwidth available around 105 GHz can also support a higher channel capacity compared to that at 28 GHz. This makes the 95-110 GHz band attractive for use by high-capacity Fixed Service P-P and Point-to-Multi-Point (P-MP) links of 5G and 6G systems.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".