TCP performance and buffer provisioning for Internet in wireless networks
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".