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Record W2056317178 · doi:10.1109/lcnw.2013.6758499

Grassmannian beamforming for Coordinated Multipoint transmission in multicell systems

2013· article· en· W2056317178 on OpenAlexaff
Nizar Zorba, Hossam S. Hassanein

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MIMO Systems Optimization
Canadian institutionsQueen's University
FundersQatar National Research FundFonds National de la Recherche LuxembourgQatar Foundation
KeywordsBeamformingComputer scienceBase stationInterference (communication)Transmission (telecommunications)Computer networkEnhanced Data Rates for GSM EvolutionWirelessProcess (computing)ThroughputInformation exchangeTelecommunicationsChannel (broadcasting)

Abstract

fetched live from OpenAlex

Wireless communications suffer from the problem of interference, where undesired signals reach the destination and cause its performance to degrade. Several mechanisms have been proposed over the last years to mitigate the interference problem, where Coordinated Multipoint (CoMP) outstands as one of the best approaches to tackle the interference in cellular systems. The main disadvantage of CoMP is the need of high signalling over the system in order to exchange information among the different parties involved in the communication process (eNBs and UEs), that questions its practical benefit for the operators. This paper presents a novel beamforming mechanism that needs for very low signalling among the transmitting base stations, it is a low complexity transmission strategy, the amount of interference to cell edge users is controlled and it offers an outstanding performance. Computer simulations show the data rate enhancement of the proposed CoMP mechanism.

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.564

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 head0.008
GPT teacher head0.206
Teacher spread0.199 · 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
GenreMethods

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

Citations4
Published2013
Admission routes1
Has abstractyes

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