Power Allocation in CoMP-Empowered C-NOMA Networks
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Bibliographic record
Abstract
In this letter, the dynamic power allocation problem of a cellular network consisting of two adjacent and coordinating cells is investigated. The joint transmission coordinated multipoint (JT-CoMP) between the two-cell is introduced to assist users experiencing high inter-cell interference, where each cell invokes cooperative non orthogonal multiple access (C-NOMA) to serve its associated devices. Both effects of imperfect successive interference cancellation (SIC) and imperfect channel estimation are considered within the proposed scheme. A power allocation framework is formulated as an optimization problem with the objective of maximizing the network sum-rate while guaranteeing a certain quality-of-service (QoS) for each user. The formulated optimization problem is neither concave nor quasi-concave, which is difficult to be solved directly unless using heuristic methods, which comes with the expense of high computational complexity. To overcome this issue, a near-optimal closed-form expressions for the power allocation are derived. The simulation results show that our purposed scheme achieves an average sum-rate that is 3% less than the one of the optimal power control but it can save up to 99% in the computational time. In addition, the superiority of the proposed CoMP C-NOMA scheme is demonstrated when compared to the well known C-NOMA scheme.
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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 | 0.000 | 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) | 0.000 | 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