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Titlebook: Channel Aggregation and Fragmentation for Traffic Flows; Lei Jiao Book 2020 The Author(s), under exclusive license to Springer Nature Swit

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樓主: 忠誠(chéng)
21#
發(fā)表于 2025-3-25 05:57:50 | 只看該作者
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發(fā)表于 2025-3-25 08:13:43 | 只看該作者
,Kultur und Polizei — Begegnungen am Rande,In this chapter, we study the impact of CA and CF on traffic flows in the simplest system where there is one single type of flows generated by one single type of users. We will use CTMC to model the system, and the goal is to deliver the elementary concept of CTMC analysis for a system with CA and CF.
23#
發(fā)表于 2025-3-25 14:15:18 | 只看該作者
24#
發(fā)表于 2025-3-25 16:59:02 | 只看該作者
Introduction,ic. Traditionally, a traffic flow is sent within one communication channel. With the help of channel aggregation (CA) technology, it is possible to adopt multiple channels for transmitting one flow, while the channel fragmentation (CF) technology can help divide one channel into multiple segments in
25#
發(fā)表于 2025-3-25 20:42:41 | 只看該作者
Markov Chain and Stationary Distribution,kov (1856–1922) in the early 1900s. More and more system analyses have been carried out by using MC, including the analysis on CA and CF. In this chapter, we will briefly review the essential ingredients of MC that are necessary for the performance analysis presented in this book. A more comprehensi
26#
發(fā)表于 2025-3-26 01:56:37 | 只看該作者
Markov Chain Analysis of CA and CF with Multiple Types of Users,pe of flows. In this chapter, the influence of CA and CF is studied in a more complicated scenario, i.e., the one in which multiple users exist, and where users have different priorities in using channel resources. CRN is a typical example for such a system, and we study the CRNs where PUs and SUs h
27#
發(fā)表于 2025-3-26 07:52:40 | 只看該作者
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發(fā)表于 2025-3-26 11:00:49 | 只看該作者
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發(fā)表于 2025-3-26 12:57:56 | 只看該作者
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發(fā)表于 2025-3-26 18:39:28 | 只看該作者
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