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Record W2038755171 · doi:10.1109/glocom.2012.6503774

Efficient concurrent transmission scheduling for cooperative millimeter wave systems

2012· article· en· W2038755171 on OpenAlexaff
Jian Qiao, Bin Cao, Xiaoxia Zhang, Xuemin Shen, J.W. Mark

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicCooperative Communication and Network Coding
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceScheduling (production processes)Computer networkRelayTransmission (telecommunications)Node (physics)Distributed computingTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Millimeter-wave (mmWave) communications is a promising technology to provide high data rates (multiGigabit) for indoor multimedia applications. However, indoor mmWave links are highly susceptible to blockage because of the limited ability to diffract around obstacles such as the human body and furniture. In order to realize high-rate reliable transmission, cooperative communication is utilized to tackle with the scenarios where LOS link of source node and destination node is blocked. Specifically, with directional antenna, we first select the node in the feasible region with best achievable rate of cooperative communication as the cooperative relay. Then, cooperative concurrent transmission scheduling is formulated as an optimization problem to maximize the transmission efficiency. A flip-based heuristic scheduling algorithm is proposed to obtain the real-time solution. Extensive simulations demonstrate that the proposed cooperative concurrent transmission scheduling (CCTS) scheme can significantly increase the transmission throughput and utilize network resource efficiently while maintaining network connectivity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.080
GPT teacher head0.306
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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".

Quick stats

Citations9
Published2012
Admission routes1
Has abstractyes

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