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Channel Aggregation and Fragmentation for Traffic Flows [[electronic resource] /] / by Lei Jiao



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Autore: Jiao Lei Visualizza persona
Titolo: Channel Aggregation and Fragmentation for Traffic Flows [[electronic resource] /] / by Lei Jiao Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (xv, 92 pages) : illustrations
Disciplina: 005.8
Soggetto topico: Wireless communication systems
Mobile communication systems
Electrical engineering
Wireless and Mobile Communication
Communications Engineering, Networks
Nota di contenuto: 1 Introduction -- 2 Markov chain and stationary distribution -- 3 Markov chain analysis of CA and CF with a single type of users -- 4 Markov chain analysis of CA and CF with multiple types of users -- 5 Test-bed evaluation of CA and CF via a software defined radio. .
Sommario/riassunto: This book introduces the impact of channel aggregation (CA) and channel fragmentation (CF) on traffic flows, through analytical models, computer simulations, and test-bed implementations. Its content includes the concept of CA and CF, the basic concept and calculation of Markov chains (MCs), the modeling process of the CA and CF enabled system via MCs, the process of simulations, and a test-bed study based on a software defined radio. This book can serve as a study guide for advanced-level students, who are interested in studying the impact of CA and CF techniques on traffic flows. This book would also interest communication engineers, who would like to learn MC modeling for performance evaluations, as it includes a step-by-step guidance for the modeling process via MCs, as well as its simulation approaches.
Titolo autorizzato: Channel Aggregation and Fragmentation for Traffic Flows  Visualizza cluster
ISBN: 3-030-33080-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910366608103321
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Serie: SpringerBriefs in Electrical and Computer Engineering, . 2191-8112