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Record W2980136036 · doi:10.1109/lwc.2019.2921314

Design Criteria for Omnidirectional STBC in Massive MIMO Systems

2019· article· en· W2980136036 on OpenAlexafffund
Alireza Morsali, Seyyed Saleh Hosseini, Benoı̂t Champagne, Xiao-Wen Chang

Bibliographic record

VenueIEEE Wireless Communications Letters · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Techniques
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMIMOSpace–time block codeUpper and lower boundsTelecommunications linkBlock codeComputer scienceMetric (unit)Rank (graph theory)Omnidirectional antennaAlgorithmMathematicsTheoretical computer scienceControl theory (sociology)TelecommunicationsDecoding methodsAntenna (radio)CombinatoricsBeamformingArtificial intelligence

Abstract

fetched live from OpenAlex

In this letter, we study the design criteria for omnidirectional space time block codes (STBCs) in downlink massive multiple-input multiple-output (MIMO) systems. To this end, we first derive a tighter upper bound on the average error probability and then use it to formulate two design criteria, namely the rank criterion and the sum determinant criterion (SDC). The rank criterion is similar to that for conventional MIMO, but it is obtained here by invoking the new upper bound for massive MIMO. The SDC is more accurate than its conventional MIMO counterpart since it takes into account the sum of the determinants of the codeword difference matrices, as opposed to the minimum of these determinants. In addition, the SDC provides a useful metric for the performance comparison and design of STBCs. The effectiveness of the proposed SDC for omnidirectional STBC is validated by simulations for massive MIMO systems.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score1.000

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 science0.0020.000
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 head0.038
GPT teacher head0.290
Teacher spread0.253 · 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.

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

Citations17
Published2019
Admission routes2
Has abstractyes

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