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Record W2105703658 · doi:10.1109/icc.1997.610016

Coded OFDM for broadband indoor wireless systems

2002· article· en· W2105703658 on OpenAlexaff
Aleandro Soares Macedo, E.S. Sousa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOrthogonal frequency-division multiplexingComputer scienceFadingMultipath propagationWireless broadbandElectronic engineeringCoding (social sciences)Delay spreadWirelessTelecommunicationsDecoding methodsMathematicsChannel (broadcasting)Wireless networkEngineeringStatistics

Abstract

fetched live from OpenAlex

In this paper we investigate the use of OFDM for broadband indoor wireless links as a means of dealing with the multipath propagation problem. We consider three solutions capable of simplifying the system. First, we consider differential encoding, so that phase estimation is not required. The second solution consists of the use of special coding schemes that are capable of spreading the information bits among the subcarriers, so that the BER performance is not deteriorated by badly attenuated subcarriers. Two coding schemes are compared, a Walsh coding scheme and 4-state trellis-coded modulation. As a third solution, we consider a Nyquist sampling rate OFDM. We show that the Nyquist sampling rate OFDM signal, which is supposed to be dependent on a perfect receiver timing, can be made resistant to a receiver timing mismatch by using the coding schemes and by decreasing the rolloff factor of the Nyquist pulse, with extra benefits of greater bandwidth efficiency and lower added noise.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.432

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 head0.025
GPT teacher head0.237
Teacher spread0.212 · 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 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

Citations23
Published2002
Admission routes1
Has abstractyes

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