Bibliographic record
Abstract
From the Publisher: This book discusses the design, performance and implementation of access protocols with emphasis on how such protocols can efficiently support disparate classes of multimedia traffic. These protocols are deployed or experimented in various broadband wireless environments such as wireless ATM, satellite networks, mobile cellular and personal communication systems, wireless local loops, wireless local area networks, and others. Besides a comprehensive introduction and survey to the evolution of access protocols, some of the hottest topics of current interest are covered. These include: Connection control and QoS provisioning. Traffic load balancing techniques. Developments in advanced CDMA/TDMA/OFDM systems. International standardization efforts (e.g., 3G, IMT 2000). Emerging broadband wireless access (e.g., wireless ATM, satellite ATM, high-speed wireless LANs). The complete design, performance analysis, simulation and protocol verification of a generalized broadband multiple access protocol. While engineering aspects are discussed, the emphasis is on the physical understanding of access protocols, from basic proposals to the latest innovations. Mathematical treatment is kept to a minimum, and most of the fundamental concepts are explained based on intuition and insights, supplemented by numerous illustrative figures. In addition, these concepts are expressed succinctly and concisely. Wherever possible, important references that make major contributions to the field are included for interested readers to investigate further. Latest updates and useful Web resources are posted at the book's Web site.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.159 | 0.194 |
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".