MétaCan
Menu
Back to cohort
Record W2145776714 · doi:10.1109/lcn.2008.4664296

Evaluating “no-new-wires” home networks

2008· article· en· W2145776714 on OpenAlexafffund
Yonglin Yu, Jianping Pan, Ming Lu, Lin Cai, Daniel Hoffman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Line Communications and Noise
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIPTVTestbedComputer networkComputer scienceVoice over IPBroadbandGigabitThe InternetBroadband networksHome automationReliability (semiconductor)Internet ProtocolTelecommunicationsNetwork packetWorld Wide Web

Abstract

fetched live from OpenAlex

Emerging broadband entertainment applications such as IPTV (Internet Protocol Television) and whole-house PVR (Personal Video Recorder) bring new challenges to existing home networks. Gigabit Ethernet is an obvious choice, but consumers are still reluctant due to the need for rewiring in most dwellings. Several “no-new-wires” technologies have been proposed in recent years, but there is little work on how to distribute IPTV, VoIP (Voice over IP) and data traffic together effectively and efficiently in a household environment. In this paper, we propose a wireless/wired-hybrid, multi-link structure for broadband home networks, and investigate its feasibility and performance through a multimedia over multi-link testbed. Our measurement study shows that the proposed multi-link structure can improve the performance, reliability and availability of home networks considerably, indicating that it is an attractive approach to multimedia in-home distribution. In addition, the paper also discusses the challenges and approaches in further improving the performance of heterogeneous, multi-link home 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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score1.000

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)0.0010.002

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 head0.102
GPT teacher head0.319
Teacher spread0.217 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations4
Published2008
Admission routes2
Has abstractyes

Explore more

Same topicPower Line Communications and NoiseFrench-language works237,207