Analysis of throughput and delay in multimedia CDMA networks with relaying
Bibliographic record
Abstract
Relaying in cellular networks is being researched extensively towards increasing the coverage and throughput of a cellular system. However it is, often difficult to meet the QoS constraints set by the nodes using relaying. In this paper, we analyse an important QoS parameter, the delay due to relaying information via an intermediate node to the base station. The reverse link of a single cell time-slotted CDMA is considered. The delay for nodes using direct communication is compared, with that of nodes using relay communication for various offered traffic and throughput. The average delay for nodes using relaying is at least 1.5 slot-times higher than the average delay for the nodes using direct communication. Also when compared with that of the direct communication, the throughput increases with the use of relaying, confirming earlier research. Thus this paper draws attention to the significant effects, relaying has on delay and throughput in a cellular network. The results presented here provide a basic framework for clear understanding of this impact.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".