Realistic Cooperative Strategies Based on Dynamic Spectrum Sharing for Integrated Satellite-Terrestrial Networks
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Bibliographic record
Abstract
Integrated satellite-terrestrial networks (ISTNs) are increasingly recognized for their global communication. However, much of the existing research is focused on simplified ISTNs, where the cooperative strategies between satellites and base stations (BSs) are not easily applicable to real-world scenarios. There is a pressing need to investigate more realistic and complex ISTNs to address this gap. In this context, a distributed BS strategy for scenarios with uniformly distributed terminals and a centralized BS strategy for scenarios with unevenly distributed terminals are proposed. Additionally, these BS strategies are combined with three distinct spectrum sharing modes for enhancing access flexibility. Due to supporting non-orthogonal transmissions and enhancing interference management capabilities, rate-splitting multiple access is adopted to efficiently serve numerous terminals using finite communication resources. For these strategies, the corresponding max-min rate optimization problems are developed, and then an alternating optimization (AO) method is introduced utilizing weighted minimum mean square error to resolve the non-convex challenges in overlay spectrum sharing. Moreover, an adaptive power control method, leveraging the AO algorithm, is designed to navigate the non-convex challenges in underlay spectrum sharing. Simulation outcomes confirm that the proposed schemes yield considerable performance enhancements compared to various standard schemes.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 it