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Parabolic Reflector-Based Mode Multiplexing Architecture for Next Generation Wireless Backhaul Links

2021· article· en· W4210489223 on OpenAlexaff
Peyman Neshaastegaran, Wenyao Zhai, Ming Jian

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrbital Angular Momentum in Optics
Canadian institutionsHuawei Technologies (Canada)
Fundersnot available
KeywordsMultiplexingWirelessBackhaul (telecommunications)Electronic engineeringTransmission (telecommunications)Computer scienceAngular momentumSpectral efficiencyChannel (broadcasting)PhysicsOpticsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

In this paper, an orbital angular momentum (OAM) mode multiplexing architecture, which benefits from the gain enhancement capabilities of the parabolic reflectors (PR), is proposed. We begin by providing the system model, channel characterization, and throughput analysis. Subsequently, the effect of PR on the OAM carrying beams, which are non-plane electromagnetic (EM) waves, is examined by performing accurate EM-level simulations. Finally, we combine the EM-level and system-level simulations to assess the spectral efficiency of the PR-based OAM system. In particular, we first calculate the channel coefficients by exploiting the EM-level simulations. This is followed by the calculation of generalized mutual information of the system as a function of input power and transmission distance. Our results verify that the proposed PR-based OAM multiplexing system can effectively extend the transmission range of OAM carrying beams.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.627

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 head0.042
GPT teacher head0.294
Teacher spread0.252 · 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 designBench or experimental
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

Citations4
Published2021
Admission routes1
Has abstractyes

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