A Power Control Scheme for Directional MAC Protocols in MANET
Bibliographic record
Abstract
Higher throughput gains and prolonged life time can be achieved for mobile ad hoc networks (MANET) with nodes equipped with directional antennas. The employment of directional antennas can enhance the spatial reuse by allowing concurrent communications to occur within the same vicinity. Another advantage of directional antennas is the higher gain resulted from its directivity, which can be utilized to reduce the transmission power during a directional transmission. In order to maximize the throughput and energy gains from directional antennas, we propose in this paper a transmission power control scheme for directional medium access protocol (MAC) protocols. The proposed scheme can be integrated to any directional MAC protocol that adopts a single channel for transmission and reception of IEEE 802.11 frames. The proposed power control scheme exploits the temporal directional transmission power correlations that exist between the IEEE 802.11 frames (RTS/CTS/DATA/ACK) for successful communication. Simulation results for different topologies are used to demonstrate the significant throughput and energy gains that can be obtained under the investigated 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".