3D-MIMO Dual Communications in SCMA-Based Secure HetNets
Bibliographic record
Abstract
In this paper, we consider a communication scenario for heterogeneous networks (HetNets) in which the base stations transmit information over both microwave (μW) and millimeter wave (mmW) bands. To exploit the spatial characteristics of the channel, we consider three-dimensional multiple input multiple output (3D-MIMO) technology. In addition, to increase the spectral efficiency of the network, sparse code multiple access (SCMA) is used as the transmission technology for both bands. A practical scenario in which the channel information is not known perfectly is assumed, and hence a robust scheme is developed. We formulate the resource allocation problem as an optimization problem which is highly nonlinear and non-convex. To solve the problem, we rely on iterative approximation methods, such as successive convex approximation, and we provide a joint transmit power allocation and beam-forming to increase the secrecy rate of the network. Using simulations, we evaluate the performance of the proposed scheme for different network settings. Simulations show a performance increase of about 24.85% with 3D-MIMO over two-dimensional MIMO (2D-MIMO). In addition, the use of both μW and mmW bands results in a 20.25% performance increase over a case where only μW is used. We also show that 3D-MIMO and dual connectivity have better performance than 2D-MIMO and μW in high-rise and dense urban areas.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".