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Record W2866570709 · doi:10.1109/iccw.2018.8403509

Simultaneous DL Transmission in mmWave Ultra Dense Networks: Inter-BSS Interference Prospective

2018· article· en· W2866570709 on OpenAlexaff
Khalid Aldubaikhy, Xuemin Shen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceTelecommunications linkComputer networkChannel state informationBeamformingMultiplexingScheduling (production processes)ThroughputInterference (communication)Transmission (telecommunications)Overhead (engineering)Channel (broadcasting)WirelessElectronic engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

In this paper, a novel multi-hop virtual grouping (MHVG) medium access control (MAC) protocol is proposed for ultra dense networks (UDN). The proposed MHVG MAC protocol enables multi-user (MU) downlink (DL) transmission for millimeter wave (mmWave) communications with the goal of enhancing system throughput and mitigating the interference. The proposed MAC permits the scheduling of simultaneous links and the mitigation of the inter- basic service sets (BSS) interference based only on analog beamforming (BF) information, without the necessity for feedback overhead, such as channel state information (CSI). The results of the evaluative simulations conducted demonstrate the superior performance offered by the proposed scheme with respect to average throughput per time slot, signal-to-interference-plus-noise ratio (SINR), and spatial multiplexing gain.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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
GenreEmpirical

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

Citations6
Published2018
Admission routes1
Has abstractyes

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