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Record W2041884833 · doi:10.1155/asp/2006/52919

FPGA Implementation of an MUD Based on Cascade Filters for a WCDMA System

2006· article· en· W2041884833 on OpenAlex
Quoc-Thai Ho, Daniel Massicotte, Adel-Omar Dahmane

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEURASIP Journal on Advances in Signal Processing · 2006
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsField-programmable gate arrayComputer scienceVirtexUMTS frequency bandsEmbedded systemComputer architectureMPSoCComputer hardwareSystem on a chipComputer network

Abstract

fetched live from OpenAlex

The VLSI architecture targeted on FPGAs of a multiuser detector based on a cascade of adaptive filters for asynchronous WCDMA systems is presented. The algorithm is briefly described. This paper focuses mainly on real-time implementation. Also, it focuses on a design methodology exploiting the modern technology of programmable logic and overcoming the limitations of commercial tools. The dedicated architecture based on a regular structure of processors and a special structure of memory exploiting FPGA architecture maximizes the processing rate. The proposed architecture was validated using synthesized data in UMTS communication scenarios. The performance goal is to maximize the number of users of different WCDMA data traffics. This dedicated architecture can be used as an intellectual property (IP) core processing an MUD function in the system-on-programmable-chip (SOPC) of UMTS systems. The targeted FPGA components are Virtex-II and Virtex-II Pro families of Xilinx.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.025
GPT teacher head0.357
Teacher spread0.333 · 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