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Record W1711080606 · doi:10.1109/mascot.1999.805039

TCP performance and buffer provisioning for Internet in wireless networks

2003· article· en· W1711080606 on OpenAlexaff
Hussein Syed, Kaushik Das, Michael Devetsikiotis

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer networkComputer scienceTransmission Control ProtocolRadio Link ProtocolTCP Friendly Rate ControlTCP global synchronizationTCP accelerationNetwork packetWirelessTelecommunications

Abstract

fetched live from OpenAlex

This paper addresses the performance of packet-based Internet data services over CDMA cellular/PCS wireless networks. Packet-based services are provided to bursty information sources modeled as on-off processes. For these services, transmission is discontinued at the end of data burst (on-period) as no information is generated during the unpredictable off-intervals. TCP (transmission control protocol) performance degrades in a wireless channel due to its vulnerability to interference which causes more packet losses than due to congestion in a network. We refer to the IS-99 standard, in particular to the CDMA data communications protocol stack that proposes a radio link protocol (RLP) for recovery of packet losses. The focus of this work is to identify the network parameters that significantly impact the performance, and more specifically, tune the TCP against wireless channel losses. In particular, the research investigates the following: 1) the way RLP interacts with the TCP for Internet traffic in achieving the overall TCP/RLP throughput; and 2) the role of the buffer space available at the mobile receiver in enhancing the performance for Internet applications.

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 score0.991
Threshold uncertainty score0.278

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 head0.007
GPT teacher head0.200
Teacher spread0.193 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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