User-Centric Multi-Dimensional Multiple Access in 6G Communications
Bibliographic record
Abstract
The ever-increasing service heterogeneity and Quality-of-Service diversity call for multi-dimensional radio resource exploitation and utilization schemes in future 6-th generation (6G) wireless. To this end, we design a user-centric QoS provisioning framework assisted with multi-dimensional multiple access (MDMA) scheme, where two conflicting goals, i.e. user's QoS preference and their utilization costs of multi-dimensional resources, are considered with different user-specific priority levels in the utility function for each user. To implement the user-centric MDMA with QoS fairness, the related problem is formulated as a Max-Min optimization. Due to the NP-hardness of the formulated problem, we first use bisection searching to examine the feasible solution set. Then, the tested feasible set is solved by addressing two sub-problems: user-subchannel mapping and power allocation, which are solved by matching theory and heuristic gradient descent algorithm. Simulation results verify the effectiveness of the proposed design that can significantly outperform the state-of-art scheme.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".