MétaCan
Menu
Back to cohort
Record W2112244065 · doi:10.1109/glocom.2008.ecp.959

Performance Analysis in CDMA-Based Cognitive Wireless Networks with Spectrum Underlay

2008· article· en· W2112244065 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
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsUnderlayInterference (communication)Cognitive radioComputer scienceTransmission (telecommunications)Computer networkTransmitter power outputCo-channel interferenceWireless networkWirelessPower controlTelecommunicationsElectronic engineeringPower (physics)Signal-to-noise ratio (imaging)Channel (broadcasting)EngineeringTransmitterPhysics

Abstract

fetched live from OpenAlex

In a cognitive wireless network with spectrum underlay, secondary links can transmit at the same spectrum as primary links as long as the interference to the primary links is below a pre-negotiated interference threshold. This paper studies the effect of setting different interference thresholds on the transmission rate of the secondary links and how secondary transmissions affect the primary links. An optimization problem is formulated to find the maximum achievable rate for the secondary links given the interference threshold, and an analytical model is developed to find the interference level at the primary link receiver. Our results show some interesting relationship among the interference threshold, transmission rate of secondary links, and transmission power increase of the primary links in such networks.

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 score0.613
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.255
Teacher spread0.230 · 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

Citations31
Published2008
Admission routes1
Has abstractyes

Explore more

Same topicWireless Communication Networks ResearchFrench-language works237,207