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Record W4286815178 · doi:10.48550/arxiv.1904.00095

Full-Duplex GFDM Radio Transceivers in the Presence of Phase Noise, CFO\n and IQ Imbalance

2019· preprint· W4286815178 on OpenAlexaff
Amirhossein Mohammadian, Chintha Tellambura

Bibliographic record

VenuearXiv (Cornell University) · 2019
Typepreprint
Language
FieldEngineering
TopicFull-Duplex Wireless Communications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOrthogonal frequency-division multiplexingTransceiverCarrier frequency offsetElectronic engineeringPhase noiseFrequency offsetComputer scienceInterference (communication)Radio frequencyMultiplexingTelecommunicationsElectrical engineeringWirelessEngineeringChannel (broadcasting)

Abstract

fetched live from OpenAlex

This paper addresses the performance of a full-duplex (FD) generalized\nfrequency division multiplexing (GFDM) transceiver in the presence of radio\nfrequency (RF) impairments including phase noise, carrier frequency offset\n(CFO) and in-phase (I) and quadrature (Q) imbalance. We study analog and\ndigital self-interference (SI) cancellation and develop a complementary SI\nsuppression method. Closed-form solutions for the residual SI power and the\ndesired signal power and signal-to-interference ratio (SIR) are provided.\nSimulation results show that the RF impairments degrade SI cancellation and FD\nGFDM is more sensitive to them compares to FD orthogonal frequency division\nmultiplexing (OFDM). Hence, we propose an FD GFDM receiver filter for\nmaximizing the SIR. Significantly, it achieves 25 dB higher SIR than FD OFDM\ntransceiver.\n

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0010.002
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 head0.048
GPT teacher head0.198
Teacher spread0.150 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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