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Record W2353462733

A feasible resource allocation scheme for multi-user OFDM systems with various services

2008· article· en· W2353462733 on OpenAlex
Guangxin Yue

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

VenueJournal of Circuits and Systems · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Network Optimization
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsComputer scienceResource allocationOrthogonal frequency-division multiplexingTelecommunications linkThroughputFadingQuality of serviceResource management (computing)Transmission (telecommunications)Channel (broadcasting)Scheme (mathematics)Computer networkDistributed computingMathematical optimizationAlgorithmWirelessTelecommunicationsMathematics
DOInot available

Abstract

fetched live from OpenAlex

In this paper, we propose a feasible resource allocation scheme for multi-user OFDM systems in downlink transmission. The proposed method is featured as a low-complexity algorithm which is designed to improve the system throughput while guaranteeing QoS requirements for both the CBR and VBR services. The algorithm, which involves adaptive sub-carrier allocation and bit loading with equally power allocation, adopts a grouping technique rather than the sub-carrier swapping. The performance of the proposed resource allocation algorithm is evaluated in a frequency-selective fading channel, and compared with that of the resource allocation algorithm in [6]. Numerical results show that the proposed algorithm provides the same throughput while reducing the complexity to a feasible case.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.840
Threshold uncertainty score0.462

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 head0.024
GPT teacher head0.226
Teacher spread0.202 · 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