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Real-Time FPGA-Based Implementation of Digital Predistorters for Fully Digital MIMO Transmitters

2023· article· en· W4385337744 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsField-programmable gate arrayComputer scienceTestbedMIMOPredistortionComputer hardwareGate arrayLinearizationBandwidth (computing)Electronic engineeringEmbedded systemNonlinear systemEngineeringChannel (broadcasting)Telecommunications

Abstract

fetched live from OpenAlex

This paper presents the hardware implementation of a real-time digital predistorter (DPD) for fully digital multiple-input multiple-output (MIMO) transmitters. The predistorter is comprised of a dual-input single-output (DISO) DPD module for each chain and a shared crosstalk and mismatch (CTMM) module that estimates the reflected wave back into each PA. The proposed real-time DPD is a DISO piece-wise linear (PWL) model implemented on a field-programmable gate array (FPGA) and achieves a linearization bandwidth up to 1.2 GHz at a clock rate of 300 MHz. The real-time DPD engine is demonstrated on a four-chain MIMO testbed and validated against a PC-based DPD engine. The FPGA-based DISO DPD performs within 1 dB ACPR of the PC-based implementation and achieves a similar root-normalized-mean-square error (RNMSE) of 1.59%.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.805
Threshold uncertainty score0.629

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 head0.252
Teacher spread0.240 · 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

Quick stats

Citations11
Published2023
Admission routes1
Has abstractyes

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