Joint power and channel allocation for multimedia content delivery using millimeter wave in smart home networks
Bibliographic record
Abstract
Millimeter wave (mm-wave) communication has been considered as a promising technology for providing short range, high speed data service in wireless networks. In this paper, we apply the mm-wave technology for multimedia content distribution among different wireless devices in smart home networks. We study the resource allocation problem and propose a new multi-channel medium access control (MAC) protocol considering mm-wave channelization and various types of multimedia services. We define a set of utility functions for battery-constrained devices considering different types of services in smart home networks. We formulate a joint power and channel allocation problem to maximize the aggregate network utility, which is a non-convex mixed integer programming problem. We transform the problem into a series of convex mixed integer programming problems and develop an efficient algorithm to find the solution. Simulation results show that the proposed MAC protocol has superior performance compared to the existing single-carrier MAC protocol in IEEE 802.15.3c standard.
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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) | 0.000 | 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".