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On BER of Fixed-Scale MIMO Underwater Wireless Optical Communication Systems

2020· article· en· W3013434480 on OpenAlexaff
Runing Xu, Yingjie Chen, Zixian Wei, H. Y. Fu, Julian Cheng, Yuhan Dong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsComputer sciencePath lossRobustness (evolution)UnderwaterBit error rateCommunications systemFree-space optical communicationScatteringWirelessMIMOOptical communicationChannel (broadcasting)OpticsTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

Underwater wireless optical communication (UWOC) has huge potential for its high speed, low latency and reliable security. However, besides the channel impairments such as absorption and scattering, dynamic ocean environments can also degrade the system performance and even incur link interruptions. In this paper, we propose a 4 × 4 fixed-scale multiple-input multiple-output UWOC system to remove the impediment of link misalignment. The system employs two collimated lens to perform a mapping from each source to associated photodetector. The bit-error rate expression is also derived to evaluate the system performance. Numerical simulations illustrate that the absorption and scattering induced path loss can be alleviated by this system when the scattering angles are relatively small and the communication range is moderate. Furthermore, the system diminishes the sensitivity of underwater vehicles to dynamic ocean environments. By taking the window truncation effect into consideration, we quantify the enhancement of system robustness to link misalignment.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score0.445

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 science0.0010.000
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 head0.018
GPT teacher head0.217
Teacher spread0.199 · 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 designTheoretical or conceptual
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

Citations3
Published2020
Admission routes1
Has abstractyes

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