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Channel Aggregation and Fragmentation for Traffic Flows
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Channel Aggregation and Fragmentation for Traffic Flows/ by Lei Jiao.
作者:
Jiao, Lei.
面頁冊數:
XV, 92 p. 102 illus., 37 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Communications Engineering, Networks. -
電子資源:
https://doi.org/10.1007/978-3-030-33080-4
ISBN:
9783030330804
Channel Aggregation and Fragmentation for Traffic Flows
Jiao, Lei.
Channel Aggregation and Fragmentation for Traffic Flows
[electronic resource] /by Lei Jiao. - 1st ed. 2020. - XV, 92 p. 102 illus., 37 illus. in color.online resource. - SpringerBriefs in Electrical and Computer Engineering,2191-8112. - SpringerBriefs in Electrical and Computer Engineering,.
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. .
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.
ISBN: 9783030330804
Standard No.: 10.1007/978-3-030-33080-4doiSubjects--Topical Terms:
669809
Communications Engineering, Networks.
LC Class. No.: TK5103.2-.4885
Dewey Class. No.: 384.5
Channel Aggregation and Fragmentation for Traffic Flows
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